Distribution and epidemiological characteristics of published individual patient data meta-analyses

Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and epidemiological characteristics of published IPDMA articles. IPDMA articles were identified through comprehensive literature searches from PubMed, Embase, and Coc...

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Published inPloS one Vol. 9; no. 6; p. e100151
Main Authors Huang, Yafang, Mao, Chen, Yuan, Jinqiu, Yang, Zuyao, Di, Mengyang, Tam, Wilson Wai-san, Tang, Jinling
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 19.06.2014
Public Library of Science (PLoS)
Subjects
Bias
Cancer
Data processing
Epidemiologic Studies
Epidemiology
Humans
Impact factors
Insulin
Laboratories
Literature reviews
Literature searches
Medical ethics
Medical prognosis
Medicine and Health Sciences
Meta-analysis
Meta-Analysis as Topic
Neoplasms
Observational studies
Physical Sciences
Primary care
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Research and Analysis Methods
Researchers
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Abstract Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and epidemiological characteristics of published IPDMA articles. IPDMA articles were identified through comprehensive literature searches from PubMed, Embase, and Cochrane library. Two investigators independently conducted article identification, data classification and extraction. Data related to the article characteristics were collected and analyzed descriptively. A total of 829 IPDMA articles indexed until 9 August 2012 were identified. An average of 3.7 IPDMA articles was published per year. Malignant neoplasms (267 [32.2%]) and circulatory diseases (179 [21.6%]) were the most frequently occurring topics. On average, each IPDMA article included a median of 8 studies (Interquartile range, IQR 5 to 15) involving 2,563 patients (IQR 927 to 8,349). Among 829 IPDMA articles, 229 (27.6%) did not perform a systematic search to identify related studies. In total, 207 (25.0%) sought and included individual patient data (IPD) from the "grey literature". Only 496 (59.8%) successfully obtained IPD from all identified studies. The number of IPDMA articles exhibited an increasing trend over the past few years and mainly focused on cancer and circulatory diseases. Our data indicated that literature searches, including grey literature and data availability were inconsistent among different IPDMA articles. Possible biases may arise. Thus, decision makers should not uncritically accept all IPDMAs.
AbstractList Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and epidemiological characteristics of published IPDMA articles. IPDMA articles were identified through comprehensive literature searches from PubMed, Embase, and Cochrane library. Two investigators independently conducted article identification, data classification and extraction. Data related to the article characteristics were collected and analyzed descriptively. A total of 829 IPDMA articles indexed until 9 August 2012 were identified. An average of 3.7 IPDMA articles was published per year. Malignant neoplasms (267 [32.2%]) and circulatory diseases (179 [21.6%]) were the most frequently occurring topics. On average, each IPDMA article included a median of 8 studies (Interquartile range, IQR 5 to 15) involving 2,563 patients (IQR 927 to 8,349). Among 829 IPDMA articles, 229 (27.6%) did not perform a systematic search to identify related studies. In total, 207 (25.0%) sought and included individual patient data (IPD) from the "grey literature". Only 496 (59.8%) successfully obtained IPD from all identified studies. The number of IPDMA articles exhibited an increasing trend over the past few years and mainly focused on cancer and circulatory diseases. Our data indicated that literature searches, including grey literature and data availability were inconsistent among different IPDMA articles. Possible biases may arise. Thus, decision makers should not uncritically accept all IPDMAs.
Background Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and epidemiological characteristics of published IPDMA articles. Methodology/Principal Findings IPDMA articles were identified through comprehensive literature searches from PubMed, Embase, and Cochrane library. Two investigators independently conducted article identification, data classification and extraction. Data related to the article characteristics were collected and analyzed descriptively. A total of 829 IPDMA articles indexed until 9 August 2012 were identified. An average of 3.7 IPDMA articles was published per year. Malignant neoplasms (267 [32.2%]) and circulatory diseases (179 [21.6%]) were the most frequently occurring topics. On average, each IPDMA article included a median of 8 studies (Interquartile range, IQR 5 to 15) involving 2,563 patients (IQR 927 to 8,349). Among 829 IPDMA articles, 229 (27.6%) did not perform a systematic search to identify related studies. In total, 207 (25.0%) sought and included individual patient data (IPD) from the “grey literature”. Only 496 (59.8%) successfully obtained IPD from all identified studies. Conclusions/Significance The number of IPDMA articles exhibited an increasing trend over the past few years and mainly focused on cancer and circulatory diseases. Our data indicated that literature searches, including grey literature and data availability were inconsistent among different IPDMA articles. Possible biases may arise. Thus, decision makers should not uncritically accept all IPDMAs.
BACKGROUND: Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and epidemiological characteristics of published IPDMA articles. METHODOLOGY/PRINCIPAL FINDINGS: IPDMA articles were identified through comprehensive literature searches from PubMed, Embase, and Cochrane library. Two investigators independently conducted article identification, data classification and extraction. Data related to the article characteristics were collected and analyzed descriptively. A total of 829 IPDMA articles indexed until 9 August 2012 were identified. An average of 3.7 IPDMA articles was published per year. Malignant neoplasms (267 [32.2%]) and circulatory diseases (179 [21.6%]) were the most frequently occurring topics. On average, each IPDMA article included a median of 8 studies (Interquartile range, IQR 5 to 15) involving 2,563 patients (IQR 927 to 8,349). Among 829 IPDMA articles, 229 (27.6%) did not perform a systematic search to identify related studies. In total, 207 (25.0%) sought and included individual patient data (IPD) from the "grey literature". Only 496 (59.8%) successfully obtained IPD from all identified studies. CONCLUSIONS/SIGNIFICANCE: The number of IPDMA articles exhibited an increasing trend over the past few years and mainly focused on cancer and circulatory diseases. Our data indicated that literature searches, including grey literature and data availability were inconsistent among different IPDMA articles. Possible biases may arise. Thus, decision makers should not uncritically accept all IPDMAs.
BACKGROUNDIndividual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and epidemiological characteristics of published IPDMA articles. METHODOLOGY/PRINCIPAL FINDINGSIPDMA articles were identified through comprehensive literature searches from PubMed, Embase, and Cochrane library. Two investigators independently conducted article identification, data classification and extraction. Data related to the article characteristics were collected and analyzed descriptively. A total of 829 IPDMA articles indexed until 9 August 2012 were identified. An average of 3.7 IPDMA articles was published per year. Malignant neoplasms (267 [32.2%]) and circulatory diseases (179 [21.6%]) were the most frequently occurring topics. On average, each IPDMA article included a median of 8 studies (Interquartile range, IQR 5 to 15) involving 2,563 patients (IQR 927 to 8,349). Among 829 IPDMA articles, 229 (27.6%) did not perform a systematic search to identify related studies. In total, 207 (25.0%) sought and included individual patient data (IPD) from the "grey literature". Only 496 (59.8%) successfully obtained IPD from all identified studies. CONCLUSIONS/SIGNIFICANCEThe number of IPDMA articles exhibited an increasing trend over the past few years and mainly focused on cancer and circulatory diseases. Our data indicated that literature searches, including grey literature and data availability were inconsistent among different IPDMA articles. Possible biases may arise. Thus, decision makers should not uncritically accept all IPDMAs.
Author Huang, Yafang
Yang, Zuyao
Di, Mengyang
Tang, Jinling
Tam, Wilson Wai-san
Yuan, Jinqiu
Mao, Chen
AuthorAffiliation 1 Division of Epidemiology, The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China
National Taiwan University, Taiwan
2 The Shenzhen Municipal Key Laboratory for Health Risk Analysis, Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, Guangdong Province, China
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/24945406$$D View this record in MEDLINE/PubMed
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Conceived and designed the experiments: WT JT. Performed the experiments: YH CM. Analyzed the data: YH JY ZY MD. Contributed reagents/materials/analysis tools: YH JY. Wrote the paper: YH WT JT.
Competing Interests: The authors have declared that no competing interests exist.
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Snippet Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and epidemiological...
Background Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and...
BACKGROUNDIndividual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and...
BACKGROUND: Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and...
Background Individual patient data meta-analyses (IPDMAs) prevail as the gold standard in clinical evaluations. We investigated the distribution and...
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StartPage e100151
SubjectTerms Bias
Cancer
Data processing
Epidemiologic Studies
Epidemiology
Humans
Impact factors
Insulin
Laboratories
Literature reviews
Literature searches
Medical ethics
Medical prognosis
Medicine and Health Sciences
Meta-analysis
Meta-Analysis as Topic
Neoplasms
Observational studies
Physical Sciences
Primary care
Public health
Publishing
Research and Analysis Methods
Researchers
Statistics as Topic
Studies
Systematic review
Trends
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Title Distribution and epidemiological characteristics of published individual patient data meta-analyses
URI https://www.ncbi.nlm.nih.gov/pubmed/24945406
https://www.proquest.com/docview/1537651540
https://search.proquest.com/docview/1539708145
https://pubmed.ncbi.nlm.nih.gov/PMC4063791
https://doaj.org/article/a8eaa29deb8743e1956e81b8c64c38f9
http://dx.doi.org/10.1371/journal.pone.0100151
Volume 9
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