Datasets:
vgainullin
/
xciting_data

Dataset card Data Studio Files
xet
 Community
1
paragraph_index
int64
sec
string
p_has_citation
int64
cites
string
citeids
list
pmid
int64
cited_id
string
sentences
string
all_sent_cites
list
sent_len
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sentence_batch_index
int64
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cited_sentence
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cites_in_sentence
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cln_sentence
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is_cap
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is_alpha
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ends_wp
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cit_qc
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lgtm
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__index_level_0__
int64
7
DISCUSSION
0
null
null
19,153,216
null
Unexposed subjects in the top propensity quintiles were very good candidates to receive anti-TNF-α, but they did not.
null
117
39,216
0
false
null
null
Unexposed subjects in the top propensity quintiles were very good candidates to receive anti-TNF-α, but they did not.
true
true
true
true
true
6,755
7
DISCUSSION
0
null
null
19,153,216
null
This situation may have arisen because they were too frail or ill to receive treatment or had a contraindication, and this condition was not fully captured by the comorbidity and Health Assessment Questionnaire measures.
null
220
39,217
0
false
null
null
This situation may have arisen because they were too frail or ill to receive treatment or had a contraindication, and this condition was not fully captured by the comorbidity and Health Assessment Questionnaire measures.
true
true
true
true
true
6,755
7
DISCUSSION
0
null
null
19,153,216
null
It may, therefore, be that the effect of treatment does not vary across the quintiles as much as Table 3 suggests and that the benefit of anti-TNF-α in the upper quintiles is overestimated.
null
189
39,218
0
false
null
null
It may, therefore, be that the effect of treatment does not vary across the quintiles as much as Table 3 suggests and that the benefit of anti-TNF-α in the upper quintiles is overestimated.
true
true
true
true
true
6,755
8
DISCUSSION
0
null
null
19,153,216
null
The problem was exacerbated in this instance because of the limited amount of data on unexposed subjects with high propensity scores.
null
133
39,219
0
false
null
null
The problem was exacerbated in this instance because of the limited amount of data on unexposed subjects with high propensity scores.
true
true
true
true
true
6,756
8
DISCUSSION
0
null
null
19,153,216
null
Only 2 deaths among the unexposed occurred in each of the 3 highest propensity quintiles.
null
89
39,220
0
false
null
null
Only 2 deaths among the unexposed occurred in each of the 3 highest propensity quintiles.
true
true
true
true
true
6,756
8
DISCUSSION
0
null
null
19,153,216
null
Therefore, few excess deaths occurred in these quintiles compared with the expected number based on the rates among the exposed subjects.
null
137
39,221
0
false
null
null
Therefore, few excess deaths occurred in these quintiles compared with the expected number based on the rates among the exposed subjects.
true
true
true
true
true
6,756
8
DISCUSSION
0
null
null
19,153,216
null
It would take only a small number of subjects who were excluded from the exposed group owing to their ill health, despite being good candidates for treatment, and who subsequently died, to explain all of the excess deaths among the unexposed subjects.
null
251
39,222
0
false
null
null
It would take only a small number of subjects who were excluded from the exposed group owing to their ill health, despite being good candidates for treatment, and who subsequently died, to explain all of the excess deaths among the unexposed subjects.
true
true
true
true
true
6,756
9
DISCUSSION
1
15
[ "bib15" ]
19,153,216
pmid-16611199
Although, in this instance, the most likely explanation for the differences between quintiles in the apparent effect of treatment is unmeasured confounding, the possibility of a genuine effect-measure modification should be considered.
[ "15" ]
235
39,223
0
false
Although, in this instance, the most likely explanation for the differences between quintiles in the apparent effect of treatment is unmeasured confounding, the possibility of a genuine effect-measure modification should be considered.
[]
Although, in this instance, the most likely explanation for the differences between quintiles in the apparent effect of treatment is unmeasured confounding, the possibility of a genuine effect-measure modification should be considered.
true
true
true
true
true
6,757
9
DISCUSSION
1
15
[ "bib15" ]
19,153,216
pmid-16611199
In many cases, it is reasonable to assume that treatment is most beneficial for those subjects most suitable for treatment, and this phenomenon may cause different treatment effects across the range of the propensity score.
[ "15" ]
223
39,224
0
false
In many cases, it is reasonable to assume that treatment is most beneficial for those subjects most suitable for treatment, and this phenomenon may cause different treatment effects across the range of the propensity score.
[]
In many cases, it is reasonable to assume that treatment is most beneficial for those subjects most suitable for treatment, and this phenomenon may cause different treatment effects across the range of the propensity score.
true
true
true
true
true
6,757
9
DISCUSSION
1
15
[ "bib15" ]
19,153,216
pmid-16611199
This analysis supports the suggestion of Glynn et al.
[ "15" ]
53
39,225
0
false
This analysis supports the suggestion of Glynn et al.
[]
This analysis supports the suggestion of Glynn et al.
true
true
true
true
true
6,757
9
DISCUSSION
1
15
[ "bib15" ]
19,153,216
pmid-16611199
(15) that the interaction between treatment effect and propensity quintile should routinely be examined to evaluate effect-measure modification.
[ "15" ]
144
39,226
1
false
that the interaction between treatment effect and propensity quintile should routinely be examined to evaluate effect-measure modification.
[ "15" ]
that the interaction between treatment effect and propensity quintile should routinely be examined to evaluate effect-measure modification.
false
true
true
true
false
6,757
10
DISCUSSION
1
16
[ "bib16" ]
19,153,216
pmid-17076868
Balance between exposed and unexposed subjects in propensity models is commonly assessed by using the standardized difference (16).
[ "16" ]
131
39,227
1
false
Balance between exposed and unexposed subjects in propensity models is commonly assessed by using the standardized difference.
[ "16" ]
Balance between exposed and unexposed subjects in propensity models is commonly assessed by using the standardized difference.
true
true
true
true
true
6,758
10
DISCUSSION
1
16
[ "bib16" ]
19,153,216
pmid-17076868
This statistic, however, measures the association between only the covariate and the exposure: a large difference in a variable weakly associated with the outcome may cause less bias than a smaller difference in a variable strongly associated with the outcome.
[ "16" ]
260
39,228
0
false
This statistic, however, measures the association between only the covariate and the exposure: a large difference in a variable weakly associated with the outcome may cause less bias than a smaller difference in a variable strongly associated with the outcome.
[]
This statistic, however, measures the association between only the covariate and the exposure: a large difference in a variable weakly associated with the outcome may cause less bias than a smaller difference in a variable strongly associated with the outcome.
true
true
true
true
true
6,758
10
DISCUSSION
1
16
[ "bib16" ]
19,153,216
pmid-17076868
So, a method of assessing balance that depends on the strength of the associations of each variable with both the exposure and the outcome is preferable.
[ "16" ]
153
39,229
0
false
So, a method of assessing balance that depends on the strength of the associations of each variable with both the exposure and the outcome is preferable.
[]
So, a method of assessing balance that depends on the strength of the associations of each variable with both the exposure and the outcome is preferable.
true
true
true
true
true
6,758
11
DISCUSSION
1
17
[ "bib17" ]
19,153,216
pmid-8256780
In observational studies, it is common practice to identify a confounding variable by examining the extent to which the effect estimate changes after adjusting for that variable (17).
[ "17" ]
183
39,230
1
false
In observational studies, it is common practice to identify a confounding variable by examining the extent to which the effect estimate changes after adjusting for that variable.
[ "17" ]
In observational studies, it is common practice to identify a confounding variable by examining the extent to which the effect estimate changes after adjusting for that variable.
true
true
true
true
true
6,759
11
DISCUSSION
1
17
[ "bib17" ]
19,153,216
pmid-8256780
We used this method to assess whether the baseline covariates continued to confound the estimate of the treatment effect after balancing by using one of the propensity score methods: we are not aware of any previous use of this method to evaluate balance.
[ "17" ]
255
39,231
0
false
We used this method to assess whether the baseline covariates continued to confound the estimate of the treatment effect after balancing by using one of the propensity score methods: we are not aware of any previous use of this method to evaluate balance.
[]
We used this method to assess whether the baseline covariates continued to confound the estimate of the treatment effect after balancing by using one of the propensity score methods: we are not aware of any previous use of this method to evaluate balance.
true
true
true
true
true
6,759
12
DISCUSSION
0
null
null
19,153,216
null
It should be pointed out that we are not relying on adjusting for a variable to remove confounding.
null
99
39,232
0
false
null
null
It should be pointed out that we are not relying on adjusting for a variable to remove confounding.
true
true
true
true
true
6,760
12
DISCUSSION
0
null
null
19,153,216
null
We hope that the variable will not be a confounder in the balanced data and that the effect estimate will not change.
null
117
39,233
0
false
null
null
We hope that the variable will not be a confounder in the balanced data and that the effect estimate will not change.
true
true
true
true
true
6,760
12
DISCUSSION
0
null
null
19,153,216
null
If it does change, we have to conclude that the balancing has not succeeded and refine the propensity score until the effect estimate does not change upon adjustment.
null
166
39,234
0
false
null
null
If it does change, we have to conclude that the balancing has not succeeded and refine the propensity score until the effect estimate does not change upon adjustment.
true
true
true
true
true
6,760
12
DISCUSSION
0
null
null
19,153,216
null
Hence, although simply fitting the variable as 5 categories could be criticized as being too crude to remove all confounding, it is sufficient for our purposes of showing the lack of balance in that variable.
null
208
39,235
0
false
null
null
Hence, although simply fitting the variable as 5 categories could be criticized as being too crude to remove all confounding, it is sufficient for our purposes of showing the lack of balance in that variable.
true
true
true
true
true
6,760
13
DISCUSSION
0
null
null
19,153,216
null
To conclude, if the effect of treatment varies between individuals, different propensity-based methods of balancing covariates may give different answers in a given population.
null
176
39,236
0
false
null
null
To conclude, if the effect of treatment varies between individuals, different propensity-based methods of balancing covariates may give different answers in a given population.
true
true
true
true
true
6,761
13
DISCUSSION
0
null
null
19,153,216
null
Each estimate may reflect a parameter of interest in that population.
null
69
39,237
0
false
null
null
Each estimate may reflect a parameter of interest in that population.
true
true
true
true
true
6,761
13
DISCUSSION
0
null
null
19,153,216
null
However, none of the estimates will reflect the effect of treatment in a different population.
null
94
39,238
0
false
null
null
However, none of the estimates will reflect the effect of treatment in a different population.
true
true
true
true
true
6,761
13
DISCUSSION
0
null
null
19,153,216
null
It is therefore essential when using propensity-based methods to test whether the treatment effect varies between individuals.
null
126
39,239
0
false
null
null
It is therefore essential when using propensity-based methods to test whether the treatment effect varies between individuals.
true
true
true
true
true
6,761
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5", "B6", "B7" ]
18,522,975
pmid-17994087|pmid-17994088|pmid-12538242|pmid-14660683|pmid-8676741|pmid-8913301|pmid-16628248
Accurate automated annotation of biological sequences is an increasingly important problem in the biological sciences.
[ "1", "2", "3", "4", "5", "6", "7" ]
118
39,240
0
false
Accurate automated annotation of biological sequences is an increasingly important problem in the biological sciences.
[]
Accurate automated annotation of biological sequences is an increasingly important problem in the biological sciences.
true
true
true
true
true
6,762
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5", "B6", "B7" ]
18,522,975
pmid-17994087|pmid-17994088|pmid-12538242|pmid-14660683|pmid-8676741|pmid-8913301|pmid-16628248
Recent releases of high-quality multiple sequence alignment data, such as by the Drosophila 12 Genomes Consortium (1,2) have only underscored this fact.
[ "1", "2", "3", "4", "5", "6", "7" ]
152
39,241
0
false
Recent releases of high-quality multiple sequence alignment data, such as by the Drosophila 12 Genomes Consortium have only underscored this fact.
[ "1,2" ]
Recent releases of high-quality multiple sequence alignment data, such as by the Drosophila 12 Genomes Consortium have only underscored this fact.
true
true
true
true
true
6,762
0
INTRODUCTION
1
7
[ "B1", "B2", "B3", "B4", "B5", "B6", "B7" ]
18,522,975
pmid-17994087|pmid-17994088|pmid-12538242|pmid-14660683|pmid-8676741|pmid-8913301|pmid-16628248
Phylo-grammars have had great success in this arena, with diverse applications in areas such as the prediction of exons in DNA (3,4), prediction of secondary structure in proteins (5,6) and detection of noncoding RNA (7).
[ "1", "2", "3", "4", "5", "6", "7" ]
221
39,242
1
false
Phylo-grammars have had great success in this arena, with diverse applications in areas such as the prediction of exons in DNA, prediction of secondary structure in proteins and detection of noncoding RNA.
[ "3,4", "5,6", "7" ]
Phylo-grammars have had great success in this arena, with diverse applications in areas such as the prediction of exons in DNA, prediction of secondary structure in proteins and detection of noncoding RNA.
true
true
true
true
true
6,762
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5", "B6", "B7" ]
18,522,975
pmid-17994087|pmid-17994088|pmid-12538242|pmid-14660683|pmid-8676741|pmid-8913301|pmid-16628248
However, despite their broad range of application, implementations of phylo-grammars have often been limited to a single model and have lacked fast and accurate training algorithms, limiting more widespread adoption.
[ "1", "2", "3", "4", "5", "6", "7" ]
216
39,243
0
false
However, despite their broad range of application, implementations of phylo-grammars have often been limited to a single model and have lacked fast and accurate training algorithms, limiting more widespread adoption.
[]
However, despite their broad range of application, implementations of phylo-grammars have often been limited to a single model and have lacked fast and accurate training algorithms, limiting more widespread adoption.
true
true
true
true
true
6,762
1
INTRODUCTION
1
8
[ "B8" ]
18,522,975
pmid-17018148
xrate provides exactly this missing functionality (8).
[ "8" ]
54
39,244
1
false
xrate provides exactly this missing functionality.
[ "8" ]
xrate provides exactly this missing functionality.
false
true
true
true
false
6,763
1
INTRODUCTION
1
8
[ "B8" ]
18,522,975
pmid-17018148
By allowing the nonexpert user to quickly and effectively implement, train and utilize phylo-grammars, it has opened this powerful method of analysis to researchers who would otherwise lack the necessary expertise and/or resources to implement such a tool.
[ "8" ]
256
39,245
0
false
By allowing the nonexpert user to quickly and effectively implement, train and utilize phylo-grammars, it has opened this powerful method of analysis to researchers who would otherwise lack the necessary expertise and/or resources to implement such a tool.
[]
By allowing the nonexpert user to quickly and effectively implement, train and utilize phylo-grammars, it has opened this powerful method of analysis to researchers who would otherwise lack the necessary expertise and/or resources to implement such a tool.
true
true
true
true
true
6,763
1
INTRODUCTION
1
8
[ "B8" ]
18,522,975
pmid-17018148
In this article we introduce xREI (pronounced ‘X-ray’), a web interface which allows researchers to explore a range of pre-defined phylo-grammars, as well as providing tools to visualize their own.
[ "8" ]
197
39,246
0
false
In this article we introduce xREI (pronounced ‘X-ray’), a web interface which allows researchers to explore a range of pre-defined phylo-grammars, as well as providing tools to visualize their own.
[]
In this article we introduce xREI (pronounced ‘X-ray’), a web interface which allows researchers to explore a range of pre-defined phylo-grammars, as well as providing tools to visualize their own.
true
true
true
true
true
6,763
0
INTRODUCTION
1
1
[ "B1", "B2" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
The drug rash with eosinophilia and systemic symptoms (DRESS) syndrome, previously referred to as the 'drug hypersensitivity syndrome', is an adverse drug reaction characterized by skin rash, fever, lymph-node enlargement and internal organ
[ "1", "2" ]
240
39,247
0
false
The drug rash with eosinophilia and systemic symptoms (DRESS) syndrome, previously referred to as the 'drug hypersensitivity syndrome', is an adverse drug reaction characterized by skin rash, fever, lymph-node enlargement and internal organ
[]
The drug rash with eosinophilia and systemic symptoms (DRESS) syndrome, previously referred to as the 'drug hypersensitivity syndrome', is an adverse drug reaction characterized by skin rash, fever, lymph-node enlargement and internal organ
true
true
false
true
false
6,764
0
INTRODUCTION
1
1
[ "B1", "B2" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
involvement.1 The definition of DRESS is flawed in that it does not characterize the nature of the cutaneous rash.
[ "1", "2" ]
114
39,248
0
false
involvement.1 The definition of DRESS is flawed in that it does not characterize the nature of the cutaneous rash.
[]
involvement.1 The definition of DRESS is flawed in that it does not characterize the nature of the cutaneous rash.
false
true
true
true
false
6,764
0
INTRODUCTION
1
1
[ "B1", "B2" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
Aromatic anticonvulsants (phenytoin, phenobarbital, carbamazepine) and sulfonamides are the most common causes of DRESS.2
[ "1", "2" ]
121
39,249
0
false
Aromatic anticonvulsants (phenytoin, phenobarbital, carbamazepine) and sulfonamides are the most common causes of DRESS.2
[]
Aromatic anticonvulsants (phenytoin, phenobarbital, carbamazepine) and sulfonamides are the most common causes of DRESS.2
true
true
false
true
false
6,764
1
INTRODUCTION
1
3
[ "B3", "B4" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
The differential diagnosis includes Stevens-Johnson syndrome (SJS), which is a rare, life-threatening, cutaneous adverse reaction.
[ "3", "4" ]
130
39,250
0
false
The differential diagnosis includes Stevens-Johnson syndrome (SJS), which is a rare, life-threatening, cutaneous adverse reaction.
[]
The differential diagnosis includes Stevens-Johnson syndrome (SJS), which is a rare, life-threatening, cutaneous adverse reaction.
true
true
true
true
true
6,765
1
INTRODUCTION
1
3
[ "B3", "B4" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
SJS is characterized by targetoid cutaneous lesions affecting less than 10% of the body surface area.
[ "3", "4" ]
101
39,251
0
false
SJS is characterized by targetoid cutaneous lesions affecting less than 10% of the body surface area.
[]
SJS is characterized by targetoid cutaneous lesions affecting less than 10% of the body surface area.
true
true
true
true
true
6,765
1
INTRODUCTION
1
3
[ "B3", "B4" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
There is mucous membrane involvement in approximately 90% of the affected patients.3 The risk factors for SJS include infection, vaccination, drugs, systemic diseases, physical agents and food.
[ "3", "4" ]
193
39,252
0
false
There is mucous membrane involvement in approximately 90% of the affected patients.3 The risk factors for SJS include infection, vaccination, drugs, systemic diseases, physical agents and food.
[]
There is mucous membrane involvement in approximately 90% of the affected patients.3 The risk factors for SJS include infection, vaccination, drugs, systemic diseases, physical agents and food.
true
true
true
true
true
6,765
1
INTRODUCTION
1
3
[ "B3", "B4" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
SJS has been associated with more than 100 drugs based on case reports and studies.4
[ "3", "4" ]
84
39,253
0
false
SJS has been associated with more than 100 drugs based on case reports and studies.4
[]
SJS has been associated with more than 100 drugs based on case reports and studies.4
true
true
false
true
false
6,765
2
INTRODUCTION
1
1
[ "B1" ]
20,358,026
pmid-16940741|pmid-18657400|pmid-19047275|pmid-14962704|pmid-18657400
DRESS and SJS are similar in that the clinical manifestations typically occur within 2 to 6 weeks after initiating drug therapy.1 However, the two syndromes have different characteristics, treatments and prognoses.
[ "1" ]
214
39,254
0
false
DRESS and SJS are similar in that the clinical manifestations typically occur within 2 to 6 weeks after initiating drug therapy.1 However, the two syndromes have different characteristics, treatments and prognoses.
[]
DRESS and SJS are similar in that the clinical manifestations typically occur within 2 to 6 weeks after initiating drug therapy.1 However, the two syndromes have different characteristics, treatments and prognoses.
true
true
true
true
true
6,766
2
INTRODUCTION
1
1
[ "B1" ]
20,358,026
pmid-16940741|pmid-18657400|pmid-19047275|pmid-14962704|pmid-18657400
Here, we compare the causes and clinical features of DRESS and SJS.
[ "1" ]
67
39,255
0
false
Here, we compare the causes and clinical features of DRESS and SJS.
[]
Here, we compare the causes and clinical features of DRESS and SJS.
true
true
true
true
true
6,766
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
This study compared the causes and clinical features of DRESS and SJS.
[ "10", "6", "11", "12" ]
70
39,256
0
false
This study compared the causes and clinical features of DRESS and SJS.
[]
This study compared the causes and clinical features of DRESS and SJS.
true
true
true
true
true
6,767
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
DRESS is a major cause of hospitalization for dermatological complications in patients treated with anticonvulsants.10
[ "10", "6", "11", "12" ]
118
39,257
0
false
DRESS is a major cause of hospitalization for dermatological complications in patients treated with anticonvulsants.10
[]
DRESS is a major cause of hospitalization for dermatological complications in patients treated with anticonvulsants.10
true
true
false
true
false
6,767
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
The clinical manifestations typically occur within 2 to 6 weeks after initiating drug therapy and most cases resolve without sequelae when the drug is discontinued.
[ "10", "6", "11", "12" ]
164
39,258
0
false
The clinical manifestations typically occur within 2 to 6 weeks after initiating drug therapy and most cases resolve without sequelae when the drug is discontinued.
[]
The clinical manifestations typically occur within 2 to 6 weeks after initiating drug therapy and most cases resolve without sequelae when the drug is discontinued.
true
true
true
true
true
6,767
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
The outcome is fatal in 5-10% of cases.
[ "10", "6", "11", "12" ]
39
39,259
0
false
The outcome is fatal in 5-10% of cases.
[]
The outcome is fatal in 5-10% of cases.
true
true
true
true
true
6,767
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
The most common clinical presentation of DRESS includes fever, eruption and lymphadenopathy.
[ "10", "6", "11", "12" ]
92
39,260
0
false
The most common clinical presentation of DRESS includes fever, eruption and lymphadenopathy.
[]
The most common clinical presentation of DRESS includes fever, eruption and lymphadenopathy.
true
true
true
true
true
6,767
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
The most common hematological abnormalities are eosinophilia, leukocytosis and lymphocytosis.
[ "10", "6", "11", "12" ]
93
39,261
0
false
The most common hematological abnormalities are eosinophilia, leukocytosis and lymphocytosis.
[]
The most common hematological abnormalities are eosinophilia, leukocytosis and lymphocytosis.
true
true
true
true
true
6,767
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
Liver involvement in patients with DRESS may range from a transitory increase in liver enzymes to liver necrosis with fulminant hepatic failure.
[ "10", "6", "11", "12" ]
144
39,262
0
false
Liver involvement in patients with DRESS may range from a transitory increase in liver enzymes to liver necrosis with fulminant hepatic failure.
[]
Liver involvement in patients with DRESS may range from a transitory increase in liver enzymes to liver necrosis with fulminant hepatic failure.
true
true
true
true
true
6,767
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
Only transitory hepatitis was observed in our study, and the patients recovered without sequelae.
[ "10", "6", "11", "12" ]
97
39,263
0
false
Only transitory hepatitis was observed in our study, and the patients recovered without sequelae.
[]
Only transitory hepatitis was observed in our study, and the patients recovered without sequelae.
true
true
true
true
true
6,767
0
DISCUSSION
1
10
[ "B10", "B6", "B11", "B12" ]
20,358,026
pmid-16940741|pmid-12592301|pmid-18717872|pmid-17975358|pmid-14962704|pmid-12771485
Other potentially fatal complications are hypersensitivity myocarditis, pericarditis, pneumonitis and nephritis.6,11,12
[ "10", "6", "11", "12" ]
119
39,264
0
false
Other potentially fatal complications are hypersensitivity myocarditis, pericarditis, pneumonitis and nephritis.6,11,12
[]
Other potentially fatal complications are hypersensitivity myocarditis, pericarditis, pneumonitis and nephritis.6,11,12
true
true
false
true
false
6,767
1
DISCUSSION
1
1
[ "B1", "B9", "B3", "B8" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
Although there are a variety of etiologies, such as infections and underlying malignancies, drugs remain the predominant cause of SJS.
[ "1", "9", "3", "8" ]
134
39,265
0
false
Although there are a variety of etiologies, such as infections and underlying malignancies, drugs remain the predominant cause of SJS.
[]
Although there are a variety of etiologies, such as infections and underlying malignancies, drugs remain the predominant cause of SJS.
true
true
true
true
true
6,768
1
DISCUSSION
1
1
[ "B1", "B9", "B3", "B8" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
The most commonly implicated drugs are anticonvulsants, sulfa derivatives, NSAIDs, penicillins, cephalosporins and allopurinols.1,9
[ "1", "9", "3", "8" ]
131
39,266
0
false
The most commonly implicated drugs are anticonvulsants, sulfa derivatives, NSAIDs, penicillins, cephalosporins and allopurinols.1,9
[]
The most commonly implicated drugs are anticonvulsants, sulfa derivatives, NSAIDs, penicillins, cephalosporins and allopurinols.1,9
true
true
false
true
false
6,768
1
DISCUSSION
1
1
[ "B1", "B9", "B3", "B8" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
The characteristic skin lesions seen in SJS are diffuse erythematous macules with purpuric, necrotic centers, and overlying blistering.
[ "1", "9", "3", "8" ]
135
39,267
0
false
The characteristic skin lesions seen in SJS are diffuse erythematous macules with purpuric, necrotic centers, and overlying blistering.
[]
The characteristic skin lesions seen in SJS are diffuse erythematous macules with purpuric, necrotic centers, and overlying blistering.
true
true
true
true
true
6,768
1
DISCUSSION
1
1
[ "B1", "B9", "B3", "B8" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
These cutaneous lesions often demonstrate a positive Nikolsky sign, which is further detachment of the epidermis with slight lateral pressure.
[ "1", "9", "3", "8" ]
142
39,268
0
false
These cutaneous lesions often demonstrate a positive Nikolsky sign, which is further detachment of the epidermis with slight lateral pressure.
[]
These cutaneous lesions often demonstrate a positive Nikolsky sign, which is further detachment of the epidermis with slight lateral pressure.
true
true
true
true
true
6,768
1
DISCUSSION
1
1
[ "B1", "B9", "B3", "B8" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
Painful erosions of the mucous membranes are common and may affect the lips, oral cavity, conjunctiva, nasal cavity, urethra, vagina, gastrointestinal tract and respiratory tract during the course of the illness.
[ "1", "9", "3", "8" ]
212
39,269
0
false
Painful erosions of the mucous membranes are common and may affect the lips, oral cavity, conjunctiva, nasal cavity, urethra, vagina, gastrointestinal tract and respiratory tract during the course of the illness.
[]
Painful erosions of the mucous membranes are common and may affect the lips, oral cavity, conjunctiva, nasal cavity, urethra, vagina, gastrointestinal tract and respiratory tract during the course of the illness.
true
true
true
true
true
6,768
1
DISCUSSION
1
1
[ "B1", "B9", "B3", "B8" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
The mucosal membranes most often affected in our study were the oral cavity and eyes.
[ "1", "9", "3", "8" ]
85
39,270
0
false
The mucosal membranes most often affected in our study were the oral cavity and eyes.
[]
The mucosal membranes most often affected in our study were the oral cavity and eyes.
true
true
true
true
true
6,768
1
DISCUSSION
1
1
[ "B1", "B9", "B3", "B8" ]
20,358,026
pmid-18657400|pmid-18583892|pmid-16940741|pmid-9555760|pmid-18657400|pmid-18293143
SJS is fatal in 5-15% of cases.3,8 Both the incidence of the condition and the associated mortality appear to be increased in immunocompromised patients.
[ "1", "9", "3", "8" ]
153
39,271
0
false
SJS is fatal in 5-15% of cases.3,8 Both the incidence of the condition and the associated mortality appear to be increased in immunocompromised patients.
[]
SJS is fatal in 5-15% of cases.3,8 Both the incidence of the condition and the associated mortality appear to be increased in immunocompromised patients.
true
true
true
true
true
6,768
2
DISCUSSION
1
3
[ "B3", "B13", "B11", "B3" ]
20,358,026
pmid-16940741|pmid-18657400|pmid-19047275|pmid-14962704|pmid-18657400
DRESS and SJS are part of a spectrum of adverse cutaneous drug reactions.
[ "3", "13", "11", "3" ]
73
39,272
0
false
DRESS and SJS are part of a spectrum of adverse cutaneous drug reactions.
[]
DRESS and SJS are part of a spectrum of adverse cutaneous drug reactions.
true
true
true
true
true
6,769
2
DISCUSSION
1
3
[ "B3", "B13", "B11", "B3" ]
20,358,026
pmid-16940741|pmid-18657400|pmid-19047275|pmid-14962704|pmid-18657400
However, the pathophysiology of DRESS and SJS has not been elucidated fully.
[ "3", "13", "11", "3" ]
76
39,273
0
false
However, the pathophysiology of DRESS and SJS has not been elucidated fully.
[]
However, the pathophysiology of DRESS and SJS has not been elucidated fully.
true
true
true
true
true
6,769
2
DISCUSSION
1
3
[ "B3", "B13", "B11", "B3" ]
20,358,026
pmid-16940741|pmid-18657400|pmid-19047275|pmid-14962704|pmid-18657400
Various theories have been proposed, including both immunological and non-immunological mechanisms.3,13
[ "3", "13", "11", "3" ]
103
39,274
0
false
Various theories have been proposed, including both immunological and non-immunological mechanisms.3,13
[]
Various theories have been proposed, including both immunological and non-immunological mechanisms.3,13
true
true
false
true
false
6,769
2
DISCUSSION
1
3
[ "B3", "B13", "B11", "B3" ]
20,358,026
pmid-16940741|pmid-18657400|pmid-19047275|pmid-14962704|pmid-18657400
The current pathophysiological explanation for DRESS is immunological.
[ "3", "13", "11", "3" ]
70
39,275
0
false
The current pathophysiological explanation for DRESS is immunological.
[]
The current pathophysiological explanation for DRESS is immunological.
true
true
true
true
true
6,769
2
DISCUSSION
1
3
[ "B3", "B13", "B11", "B3" ]
20,358,026
pmid-16940741|pmid-18657400|pmid-19047275|pmid-14962704|pmid-18657400
Drugs with reactive metabolites can modify cellular proteins and target an autoimmune response against the skin or liver cells.11 It now appears that the immunological mechanisms associated with SJS are initiated by the Fas antigen, a cell surface molecule that can mediate apoptosis.3
[ "3", "13", "11", "3" ]
285
39,276
0
false
Drugs with reactive metabolites can modify cellular proteins and target an autoimmune response against the skin or liver cells.11 It now appears that the immunological mechanisms associated with SJS are initiated by the Fas antigen, a cell surface molecule that can mediate apoptosis.3
[]
Drugs with reactive metabolites can modify cellular proteins and target an autoimmune response against the skin or liver cells.11 It now appears that the immunological mechanisms associated with SJS are initiated by the Fas antigen, a cell surface molecule that can mediate apoptosis.3
true
true
false
true
false
6,769
3
DISCUSSION
1
1
[ "B1", "B8", "B12" ]
20,358,026
pmid-16940741|pmid-18293143|pmid-12771485
Laboratory testing can help to identify internal organ involvement, which may not be evident clinically.
[ "1", "8", "12" ]
104
39,277
0
false
Laboratory testing can help to identify internal organ involvement, which may not be evident clinically.
[]
Laboratory testing can help to identify internal organ involvement, which may not be evident clinically.
true
true
true
true
true
6,770
3
DISCUSSION
1
1
[ "B1", "B8", "B12" ]
20,358,026
pmid-16940741|pmid-18293143|pmid-12771485
A skin biopsy may help to confirm the diagnosis, but is usually not specific.
[ "1", "8", "12" ]
77
39,278
0
false
A skin biopsy may help to confirm the diagnosis, but is usually not specific.
[]
A skin biopsy may help to confirm the diagnosis, but is usually not specific.
true
true
true
true
true
6,770
3
DISCUSSION
1
1
[ "B1", "B8", "B12" ]
20,358,026
pmid-16940741|pmid-18293143|pmid-12771485
The suspected drug should be discontinued immediately when these two syndromes are being considered.1,8,12 Delaying this measure may be associated with a poor outcome.
[ "1", "8", "12" ]
167
39,279
0
false
The suspected drug should be discontinued immediately when these two syndromes are being considered.1,8,12 Delaying this measure may be associated with a poor outcome.
[]
The suspected drug should be discontinued immediately when these two syndromes are being considered.1,8,12 Delaying this measure may be associated with a poor outcome.
true
true
true
true
true
6,770
3
DISCUSSION
1
1
[ "B1", "B8", "B12" ]
20,358,026
pmid-16940741|pmid-18293143|pmid-12771485
For patients with extensive mucocutaneous involvement, prompt referral to a burn unit is recommended.
[ "1", "8", "12" ]
101
39,280
0
false
For patients with extensive mucocutaneous involvement, prompt referral to a burn unit is recommended.
[]
For patients with extensive mucocutaneous involvement, prompt referral to a burn unit is recommended.
true
true
true
true
true
6,770
4
DISCUSSION
1
8
[ "B8", "B1", "B8" ]
20,358,026
pmid-18293143|pmid-16940741|pmid-18293143
Corticosteroids remain the agents most widely used for treating DRESS, although the doses used vary widely across case reports.8 Favorable results have been reported with their use.
[ "8", "1", "8" ]
181
39,281
0
false
Corticosteroids remain the agents most widely used for treating DRESS, although the doses used vary widely across case reports.8 Favorable results have been reported with their use.
[]
Corticosteroids remain the agents most widely used for treating DRESS, although the doses used vary widely across case reports.8 Favorable results have been reported with their use.
true
true
true
true
true
6,771
4
DISCUSSION
1
8
[ "B8", "B1", "B8" ]
20,358,026
pmid-18293143|pmid-16940741|pmid-18293143
In the absence of a well-established therapy, primary and secondary prevention have key roles in the management of these two syndromes.1,8 Milder cases of SJS can be managed in an inpatient setting using the same fundamental therapeutic protocol used for the treatment of burns.
[ "8", "1", "8" ]
278
39,282
0
false
In the absence of a well-established therapy, primary and secondary prevention have key roles in the management of these two syndromes.1,8 Milder cases of SJS can be managed in an inpatient setting using the same fundamental therapeutic protocol used for the treatment of burns.
[]
In the absence of a well-established therapy, primary and secondary prevention have key roles in the management of these two syndromes.1,8 Milder cases of SJS can be managed in an inpatient setting using the same fundamental therapeutic protocol used for the treatment of burns.
true
true
true
true
true
6,771
4
DISCUSSION
1
8
[ "B8", "B1", "B8" ]
20,358,026
pmid-18293143|pmid-16940741|pmid-18293143
The use of medications to treat SJS remains controversial.
[ "8", "1", "8" ]
58
39,283
0
false
The use of medications to treat SJS remains controversial.
[]
The use of medications to treat SJS remains controversial.
true
true
true
true
true
6,771
4
DISCUSSION
1
8
[ "B8", "B1", "B8" ]
20,358,026
pmid-18293143|pmid-16940741|pmid-18293143
Treatment with corticosteroids, while effective in most other acute inflammatory disorders, is controversial.
[ "8", "1", "8" ]
109
39,284
0
false
Treatment with corticosteroids, while effective in most other acute inflammatory disorders, is controversial.
[]
Treatment with corticosteroids, while effective in most other acute inflammatory disorders, is controversial.
true
true
true
true
true
6,771
5
DISCUSSION
1
14
[ "B14", "B6", "B8", "B9" ]
20,358,026
pmid-15672707|pmid-17975358|pmid-18293143|pmid-9555760
The most important diagnostic clues are the mucosal lesions and eosinophilia, characteristic of both syndromes.
[ "14", "6", "8", "9" ]
111
39,285
0
false
The most important diagnostic clues are the mucosal lesions and eosinophilia, characteristic of both syndromes.
[]
The most important diagnostic clues are the mucosal lesions and eosinophilia, characteristic of both syndromes.
true
true
true
true
true
6,772
5
DISCUSSION
1
14
[ "B14", "B6", "B8", "B9" ]
20,358,026
pmid-15672707|pmid-17975358|pmid-18293143|pmid-9555760
Age and gender were not helpful in differentiating SJS from DRESS.
[ "14", "6", "8", "9" ]
66
39,286
0
false
Age and gender were not helpful in differentiating SJS from DRESS.
[]
Age and gender were not helpful in differentiating SJS from DRESS.
true
true
true
true
true
6,772
5
DISCUSSION
1
14
[ "B14", "B6", "B8", "B9" ]
20,358,026
pmid-15672707|pmid-17975358|pmid-18293143|pmid-9555760
Elevated liver enzymes suggest the DRESS syndrome, well known to affect internal organs.
[ "14", "6", "8", "9" ]
88
39,287
0
false
Elevated liver enzymes suggest the DRESS syndrome, well known to affect internal organs.
[]
Elevated liver enzymes suggest the DRESS syndrome, well known to affect internal organs.
true
true
true
true
true
6,772
5
DISCUSSION
1
14
[ "B14", "B6", "B8", "B9" ]
20,358,026
pmid-15672707|pmid-17975358|pmid-18293143|pmid-9555760
As in a previous study, the liver was commonly involved in our DRESS patients.
[ "14", "6", "8", "9" ]
78
39,288
0
false
As in a previous study, the liver was commonly involved in our DRESS patients.
[]
As in a previous study, the liver was commonly involved in our DRESS patients.
true
true
true
true
true
6,772
5
DISCUSSION
1
14
[ "B14", "B6", "B8", "B9" ]
20,358,026
pmid-15672707|pmid-17975358|pmid-18293143|pmid-9555760
However, some earlier studies reported that up to 75% of the patients with SJS had elevated liver enzymes, similar to patients with DRESS.14 Hepatitis was observed in 85% of the patients with SJS in our study.
[ "14", "6", "8", "9" ]
209
39,289
0
false
However, some earlier studies reported that up to 75% of the patients with SJS had elevated liver enzymes, similar to patients with DRESS.14 Hepatitis was observed in 85% of the patients with SJS in our study.
[]
However, some earlier studies reported that up to 75% of the patients with SJS had elevated liver enzymes, similar to patients with DRESS.14 Hepatitis was observed in 85% of the patients with SJS in our study.
true
true
true
true
true
6,772
5
DISCUSSION
1
14
[ "B14", "B6", "B8", "B9" ]
20,358,026
pmid-15672707|pmid-17975358|pmid-18293143|pmid-9555760
Anticonvulsants were once the most common cause although, more recently, antibiotics have been reported to be the most common cause of both disorders.6,8,9 The increase in the use of antibiotics in Korea might explain this finding.
[ "14", "6", "8", "9" ]
231
39,290
0
false
Anticonvulsants were once the most common cause although, more recently, antibiotics have been reported to be the most common cause of both disorders.6,8,9 The increase in the use of antibiotics in Korea might explain this finding.
[]
Anticonvulsants were once the most common cause although, more recently, antibiotics have been reported to be the most common cause of both disorders.6,8,9 The increase in the use of antibiotics in Korea might explain this finding.
true
true
true
true
true
6,772
5
DISCUSSION
1
14
[ "B14", "B6", "B8", "B9" ]
20,358,026
pmid-15672707|pmid-17975358|pmid-18293143|pmid-9555760
After prompt withdrawal of the offending drug, conservative treatment or combination corticosteroid treatment has been used to treat patients with both syndromes, and most patients have improved clinical symptoms and laboratory findings with this approach.
[ "14", "6", "8", "9" ]
256
39,291
0
false
After prompt withdrawal of the offending drug, conservative treatment or combination corticosteroid treatment has been used to treat patients with both syndromes, and most patients have improved clinical symptoms and laboratory findings with this approach.
[]
After prompt withdrawal of the offending drug, conservative treatment or combination corticosteroid treatment has been used to treat patients with both syndromes, and most patients have improved clinical symptoms and laboratory findings with this approach.
true
true
true
true
true
6,772
5
DISCUSSION
1
14
[ "B14", "B6", "B8", "B9" ]
20,358,026
pmid-15672707|pmid-17975358|pmid-18293143|pmid-9555760
In the absence of specific treatment, the elimination of the causative drug and proper symptomatic treatment are the best management approaches for both SJS and DRESS.
[ "14", "6", "8", "9" ]
167
39,292
0
false
In the absence of specific treatment, the elimination of the causative drug and proper symptomatic treatment are the best management approaches for both SJS and DRESS.
[]
In the absence of specific treatment, the elimination of the causative drug and proper symptomatic treatment are the best management approaches for both SJS and DRESS.
true
true
true
true
true
6,772
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
Viruses are divided into two similar-sized groups depending on whether the virus particle contains DNA or RNA, and, as causes of human fatality, RNA viruses are by far the more important (1).
[ "1", "2", "3", "4", "5" ]
191
39,293
1
false
Viruses are divided into two similar-sized groups depending on whether the virus particle contains DNA or RNA, and, as causes of human fatality, RNA viruses are by far the more important.
[ "1" ]
Viruses are divided into two similar-sized groups depending on whether the virus particle contains DNA or RNA, and, as causes of human fatality, RNA viruses are by far the more important.
true
true
true
true
true
6,773
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
New viral diseases continue to appear as a result of several changes in human activity: travel, population growth, interaction with wild habitats etc.
[ "1", "2", "3", "4", "5" ]
150
39,294
0
false
New viral diseases continue to appear as a result of several changes in human activity: travel, population growth, interaction with wild habitats etc.
[]
New viral diseases continue to appear as a result of several changes in human activity: travel, population growth, interaction with wild habitats etc.
true
true
true
true
true
6,773
0
INTRODUCTION
1
2
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
Well-known novel, or emergent, RNA diseases include severe acute respiratory syndrome (SARS) (2), human immunodeficiency virus 1 (HIV-1) (3), and may come to include Avian influenza H5N1 virus (4).
[ "1", "2", "3", "4", "5" ]
197
39,295
1
false
Well-known novel, or emergent, RNA diseases include severe acute respiratory syndrome (SARS), human immunodeficiency virus 1, and may come to include Avian influenza H5N1 virus.
[ "2", "HIV-1", "3", "4" ]
Well-known novel, or emergent, RNA diseases include severe acute respiratory syndrome (SARS), human immunodeficiency virus 1, and may come to include Avian influenza H5N1 virus.
true
true
true
true
true
6,773
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
These emergent diseases are an important factor behind the increase in the number of genome sequences that NCBI treats as representing new species (Figure 1).
[ "1", "2", "3", "4", "5" ]
158
39,296
0
false
These emergent diseases are an important factor behind the increase in the number of genome sequences that NCBI treats as representing new species.
[ "Figure 1" ]
These emergent diseases are an important factor behind the increase in the number of genome sequences that NCBI treats as representing new species.
true
true
true
true
true
6,773
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
In 2005, more than 200 new virus species were submitted to GenBank (more recent dates are less reliable because there is typically a delay between submission and public availability).
[ "1", "2", "3", "4", "5" ]
183
39,297
0
false
In 2005, more than 200 new virus species were submitted to GenBank (more recent dates are less reliable because there is typically a delay between submission and public availability).
[]
In 2005, more than 200 new virus species were submitted to GenBank (more recent dates are less reliable because there is typically a delay between submission and public availability).
true
true
true
true
true
6,773
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
As more emergent viruses appear, it is important to have a site that allows their genomes to be compared to those of known viruses.
[ "1", "2", "3", "4", "5" ]
131
39,298
0
false
As more emergent viruses appear, it is important to have a site that allows their genomes to be compared to those of known viruses.
[]
As more emergent viruses appear, it is important to have a site that allows their genomes to be compared to those of known viruses.
true
true
true
true
true
6,773
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
The origin of most major infectious diseases is unknown because of our ignorance of the diversity of pathogens in wild animals.
[ "1", "2", "3", "4", "5" ]
127
39,299
0
false
The origin of most major infectious diseases is unknown because of our ignorance of the diversity of pathogens in wild animals.
[]
The origin of most major infectious diseases is unknown because of our ignorance of the diversity of pathogens in wild animals.
true
true
true
true
true
6,773
0
INTRODUCTION
1
5
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
This restricts our ability to both predict risks and develop treatments (5).
[ "1", "2", "3", "4", "5" ]
76
39,300
1
false
This restricts our ability to both predict risks and develop treatments.
[ "5" ]
This restricts our ability to both predict risks and develop treatments.
true
true
true
true
true
6,773
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
Figure 1.Submission of new virus species to GenBank between 1970 and 2006.
[ "1", "2", "3", "4", "5" ]
74
39,301
0
false
Figure 1.Submission of new virus species to GenBank between 1970 and 2006.
[]
Figure 1.Submission of new virus species to GenBank between 1970 and 2006.
true
true
true
true
true
6,773
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
Dates are the earliest given in the accession (either of submission or publication).
[ "1", "2", "3", "4", "5" ]
84
39,302
0
false
Dates are the earliest given in the accession (either of submission or publication).
[]
Dates are the earliest given in the accession (either of submission or publication).
true
true
true
true
true
6,773
0
INTRODUCTION
1
1
[ "B1", "B2", "B3", "B4", "B5" ]
18,948,277
pmid-18295930|NA|pmid-14708016|pmid-16627737|pmid-17507975
Submissions after 2006 are excluded because accessions are made public typically only following publication and thus the frequency of submissions is more recent time periods is underestimated.
[ "1", "2", "3", "4", "5" ]
192
39,303
0
false
Submissions after 2006 are excluded because accessions are made public typically only following publication and thus the frequency of submissions is more recent time periods is underestimated.
[]
Submissions after 2006 are excluded because accessions are made public typically only following publication and thus the frequency of submissions is more recent time periods is underestimated.
true
true
true
true
true
6,773
1
INTRODUCTION
0
null
null
18,948,277
null
Submission of new virus species to GenBank between 1970 and 2006.
null
65
39,304
0
false
null
null
Submission of new virus species to GenBank between 1970 and 2006.
true
true
true
true
true
6,774
1
INTRODUCTION
0
null
null
18,948,277
null
Dates are the earliest given in the accession (either of submission or publication).
null
84
39,305
0
false
null
null
Dates are the earliest given in the accession (either of submission or publication).
true
true
true
true
true
6,774
1
INTRODUCTION
0
null
null
18,948,277
null
Submissions after 2006 are excluded because accessions are made public typically only following publication and thus the frequency of submissions is more recent time periods is underestimated.
null
192
39,306
0
false
null
null
Submissions after 2006 are excluded because accessions are made public typically only following publication and thus the frequency of submissions is more recent time periods is underestimated.
true
true
true
true
true
6,774
2
INTRODUCTION
1
6
[ "B6", "B7", "B8", "B9" ]
18,948,277
pmid-11774451|pmid-18293057|pmid-8269709|pmid-8709232
Despite some advances (6,7), the evolutionary history of RNA viruses is in general poorly known, especially the deep phylogenetic relationships between virus families (8,9).
[ "6", "7", "8", "9" ]
173
39,307
0
false
Despite some advances, the evolutionary history of RNA viruses is in general poorly known, especially the deep phylogenetic relationships between virus families.
[ "6,7", "8,9" ]
Despite some advances, the evolutionary history of RNA viruses is in general poorly known, especially the deep phylogenetic relationships between virus families.
true
true
true
true
true
6,775
2
INTRODUCTION
1
6
[ "B6", "B7", "B8", "B9" ]
18,948,277
pmid-11774451|pmid-18293057|pmid-8269709|pmid-8709232
We believe that one of the reasons for this is a lack of easily available translated genes and genomes for all species, and the lack of aligned genome sequences representing different isolates of the same species.
[ "6", "7", "8", "9" ]
213
39,308
0
false
We believe that one of the reasons for this is a lack of easily available translated genes and genomes for all species, and the lack of aligned genome sequences representing different isolates of the same species.
[]
We believe that one of the reasons for this is a lack of easily available translated genes and genomes for all species, and the lack of aligned genome sequences representing different isolates of the same species.
true
true
true
true
true
6,775
3
INTRODUCTION
0
null
null
18,948,277
null
In addition to the need to facilitate greater comparative analysis of RNA viruses is the need to link together the existing virus Web sites and their underlying databases.
null
171
39,309
0
false
null
null
In addition to the need to facilitate greater comparative analysis of RNA viruses is the need to link together the existing virus Web sites and their underlying databases.
true
true
true
true
true
6,776
3
INTRODUCTION
0
null
null
18,948,277
null
There are many Web sites that provide genomic data, tools for genetic analysis and/or biological information for some viruses (see ‘Links’ on our site home page).
null
162
39,310
0
false
null
null
There are many Web sites that provide genomic data, tools for genetic analysis and/or biological information for some viruses (see ‘Links’ on our site home page).
true
true
true
true
true
6,776
3
INTRODUCTION
0
null
null
18,948,277
null
The RNA Virus Database is intended to complement these other sites by providing basic genomic information and tools for all RNA viruses and linking the user to more specialist sites, where they exist, e.g.
null
205
39,311
0
false
null
null
The RNA Virus Database is intended to complement these other sites by providing basic genomic information and tools for all RNA viruses and linking the user to more specialist sites, where they exist, e.g.
true
true
true
true
true
6,776
3
INTRODUCTION
0
null
null
18,948,277
null
for HIV-1 and hepatitis C virus (HCV), we provide links to sites such as the Los Alamos Laboratory on the main page for each of these viruses (find by typing HIV-1 or HCV into the search window in the top toolbar).
null
214
39,312
0
false
null
null
for HIV-1 and hepatitis C virus (HCV), we provide links to sites such as the Los Alamos Laboratory on the main page for each of these viruses (find by typing HIV-1 or HCV into the search window in the top toolbar).
false
true
true
true
false
6,776
3
INTRODUCTION
0
null
null
18,948,277
null
For such viruses, we do not duplicate the work of other groups by attempting to display the available diversity of genomes.
null
123
39,313
0
false
null
null
For such viruses, we do not duplicate the work of other groups by attempting to display the available diversity of genomes.
true
true
true
true
true
6,776
3
INTRODUCTION
0
null
null
18,948,277
null
We intend that the RNA Virus Database should develop further as a hub for other sites and we therefore encourage other workers to contact us with details of their sites that they wish linked to ours.
null
199
39,314
0
false
null
null
We intend that the RNA Virus Database should develop further as a hub for other sites and we therefore encourage other workers to contact us with details of their sites that they wish linked to ours.
true
true
true
true
true
6,776
3
INTRODUCTION
0
null
null
18,948,277
null
Also, we encourage workers to ‘adopt a virus’ and improve and/or expand the information that we provide for individual species.
null
127
39,315
0
false
null
null
Also, we encourage workers to ‘adopt a virus’ and improve and/or expand the information that we provide for individual species.
true
true
true
true
true
6,776