Author
Yan Li
Bio: Yan Li is an academic researcher. The author has contributed to research in topics: Medicine & Meta-analysis. The author has an hindex of 2, co-authored 2 publications receiving 1444 citations.
Papers
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TL;DR: In this article, the authors reviewed original, quantitative studies on the extent, impact, and management of financial conflicts of interest in biomedical research and concluded that financial relationships among industry, scientific investigators, and academic institutions are widespread.
Abstract: ContextDespite increasing awareness about the potential impact of financial
conflicts of interest on biomedical research, no comprehensive synthesis of
the body of evidence relating to financial conflicts of interest has been
performed.ObjectiveTo review original, quantitative studies on the extent, impact, and
management of financial conflicts of interest in biomedical research.Data SourcesStudies were identified by searching MEDLINE (January 1980-October 2002),
the Web of Science citation database, references of articles, letters, commentaries,
editorials, and books and by contacting experts.Study SelectionAll English-language studies containing original, quantitative data
on financial relationships among industry, scientific investigators, and academic
institutions were included. A total of 1664 citations were screened, 144 potentially
eligible full articles were retrieved, and 37 studies met our inclusion criteria.Data ExtractionOne investigator (J.E.B.) extracted data from each of the 37 studies.
The main outcomes were the prevalence of specific types of industry relationships,
the relation between industry sponsorship and study outcome or investigator
behavior, and the process for disclosure, review, and management of financial
conflicts of interest.Data SynthesisApproximately one fourth of investigators have industry affiliations,
and roughly two thirds of academic institutions hold equity in start-ups that
sponsor research performed at the same institutions. Eight articles, which
together evaluated 1140 original studies, assessed the relation between industry
sponsorship and outcome in original research. Aggregating the results of these
articles showed a statistically significant association between industry sponsorship
and pro-industry conclusions (pooled Mantel-Haenszel odds ratio, 3.60; 95%
confidence interval, 2.63-4.91). Industry sponsorship was also associated
with restrictions on publication and data sharing. The approach to managing
financial conflicts varied substantially across academic institutions and
peer-reviewed journals.ConclusionsFinancial relationships among industry, scientific investigators, and
academic institutions are widespread. Conflicts of interest arising from these
ties can influence biomedical research in important ways.
1,524 citations
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TL;DR: The authors performed an umbrella review of published evidence of candidate gene studies for ASD and provided a broad and detailed overview of risk genes for ASD, including CNTNAP2, MTHFR, OXTR, SLC25A12 and VDR.
Abstract: Abstract Autism spectrum disorder (ASD) is a class of neurodevelopmental conditions with a large epidemiological and societal impact worldwide. To date, numerous studies have investigated the associations between genetic variants and ASD risk. To provide a robust synthesis of published evidence of candidate gene studies for ASD, we performed an umbrella review (UR) of meta-analyses of genetic studies for ASD (PROSPERO registration number: CRD42021221868). We systematically searched eight English and Chinese databases from inception to March 31, 2022. Reviewing of eligibility, data extraction, and quality assessment were performed by two authors. In total, 28 of 5062 retrieved articles were analyzed, which investigated a combined 41 single nucleotide polymorphisms (SNPs) of nine candidate genes. Overall, 12 significant SNPs of CNTNAP2 , MTHFR , OXTR , SLC25A12 , and VDR were identified, of which associations with suggestive evidence included the C677T polymorphism of MTHFR (under allelic, dominant, and heterozygote models) and the rs731236 polymorphism of VDR (under allelic and homozygote models). Associations with weak evidence included the rs2710102 polymorphism of CNTNAP2 (under allelic, homozygote, and recessive models), the rs7794745 polymorphism of CNTNAP2 (under dominant and heterozygote models), the C677T polymorphism of MTHFR (under homozygote model), and the rs731236 polymorphism of VDR (under dominant and recessive models). Our UR summarizes research evidence on the genetics of ASD and provides a broad and detailed overview of risk genes for ASD. The rs2710102 and rs7794745 polymorphisms of CNTNAP2 , C677T polymorphism of MTHFR , and rs731236 polymorphism of VDR may confer ASD risks. This study will provide clinicians and healthcare decision-makers with evidence-based information about the most salient candidate genes relevant to ASD and recommendations for future treatment, prevention, and research.
15 citations
01 Jan 2010
TL;DR: This paper presents a meta-analysis of evidence on the impact of industry sponsorship on the results of Biomedical Research and concludes that industry sponsorship can have an adverse effect on the quality of research.
Abstract: Correction Contact me if this article is corrected. Citations Contact me when this article is cited. This article has been cited 420 times. Topic collections Contact me when new articles are published in these topic areas. Medical Practice; Conflict of Interest; Statistics and Research Methods; Review Related Letters . 2003;289(19):2502. JAMA Anna M. Sawka et al. Effect of Industry Sponsorship on the Results of Biomedical Research
4 citations
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Cited by
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Leiden University Medical Center1, University Hospital of Lausanne2, University of Oxford3, Cochrane Collaboration4, University of Texas Health Science Center at San Antonio5, University of London6, University of North Carolina at Chapel Hill7, University of Pittsburgh8, University of Cape Town9, University of Bern10
TL;DR: The STROBE Statement provides guidance to authors about how to improve the reporting of observational studies and facilitates critical appraisal and interpretation of studies by reviewers, journal editors and readers.
3,567 citations
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TL;DR: The SPIRIT 2013 Explanation and Elaboration paper provides important information to promote full understanding of the checklist recommendations and strongly recommends that this explanatory paper be used in conjunction with the SPIRit Statement.
Abstract: High quality protocols facilitate proper conduct, reporting, and external review
of clinical trials. However, the completeness of trial protocols is often
inadequate. To help improve the content and quality of protocols, an
international group of stakeholders developed the SPIRIT 2013 Statement
(Standard Protocol Items: Recommendations for Interventional Trials). The SPIRIT
Statement provides guidance in the form of a checklist of recommended items to
include in a clinical trial protocol. This SPIRIT 2013 Explanation and Elaboration paper provides important
information to promote full understanding of the checklist recommendations. For
each checklist item, we provide a rationale and detailed description; a model
example from an actual protocol; and relevant references supporting its
importance. We strongly recommend that this explanatory paper be used in
conjunction with the SPIRIT Statement. A website of resources is also available
(www.spirit-statement.org). The SPIRIT 2013 Explanation and Elaboration paper, together with the Statement,
should help with the drafting of trial protocols. Complete documentation of key
trial elements can facilitate transparency and protocol review for the benefit
of all stakeholders.
3,108 citations
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TL;DR: A checklist of items that should be addressed in Reports of Observational Studies in Epidemiology (STROBE) Statement, a general reporting recommendations for descriptive observational studies and studies that investigate associations between exposures and health outcomes is developed.
Abstract: Much medical research is observational. The reporting of observational studies is often of insufficient quality. Poor reporting hampers the assessment of the strengths and weaknesses of a study and the generalizability of its results. Taking into account empirical evidence and theoretical considerations, a group of methodologists, researchers, and editors developed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) recommendations to improve the quality of reporting of observational studies. The STROBE Statement consists of a checklist of 22 items, which relate to the title, abstract, introduction, methods, results, and discussion sections of articles. Eighteen items are common to cohort studies, case-control studies, and cross-sectional studies, and 4 are specific to each of the 3 study designs. The STROBE Statement provides guidance to authors about how to improve the reporting of observational studies and facilitates critical appraisal and interpretation of studies by reviewers, journal editors, and readers. This explanatory and elaboration document is intended to enhance the use, understanding, and dissemination of the STROBE Statement. The meaning and rationale for each checklist item are presented. For each item, 1 or several published examples and, where possible, references to relevant empirical studies and methodological literature are provided. Examples of useful flow diagrams are also included. The STROBE Statement, this document, and the associated Web site (www.strobe-statement.org) should be helpful resources to improve reporting of observational research.
2,813 citations
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TL;DR: The STROBE Statement provides guidance to authors about how to improve the reporting of observational studies and facilitates critical appraisal and interpretation of studies by reviewers, journal editors and readers.
Abstract: Much medical research is observational. The reporting of observational studies is often of insufficient quality. Poor reporting hampers the assessment of the strengths and weaknesses of a study and the generalizability of its results. Taking into account empirical evidence and theoretical considerations, a group of methodologists, researchers, and editors developed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) recommendations to improve the quality of reporting of observational studies. The STROBE Statement consists of a checklist of 22 items, which relate to the title, abstract, introduction, methods, results and discussion sections of articles. Eighteen items are common to cohort studies, case-control studies and cross-sectional studies and four are specific to each of the three study designs. The STROBE Statement provides guidance to authors about how to improve the reporting of observational studies and facilitates critical appraisal and interpretation of studies by reviewers, journal editors and readers.This explanatory and elaboration document is intended to enhance the use, understanding, and dissemination of the STROBE Statement. The meaning and rationale for each checklist item are presented. For each item, one or several published examples and, where possible, references to relevant empirical studies and methodological literature are provided. Examples of useful flow diagrams are also included. The STROBE Statement, this document, and the associated web site (http://www.strobe-statement.org) should be helpful resources to improve reporting of observational research.
2,020 citations
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TL;DR: Investigating whether funding of drug studies by the pharmaceutical industry is associated with outcomes that are favourable to the funder and whether the methods of trials funded by pharmaceutical companies differ from the methods in trials with other sources of support found systematic bias favours products which are made by the company funding the research.
Abstract: Objective To investigate whether funding of drug studies by the pharmaceutical industry is associated with outcomes that are favourable to the funder and whether the methods of trials funded by pharmaceutical companies differ from the methods in trials with other sources of support
Methods Medline (January 1966 to December 2002) and Embase (January 1980 to December 2002) searches were supplemented with material identified in the references and in the authors' personal files Data were independently abstracted by three of the authors and disagreements were resolved by consensus
Results 30 studies were included Research funded by drug companies was less likely to be published than research funded by other sources Studies sponsored by pharmaceutical companies were more likely to have outcomes favouring the sponsor than were studies with other sponsors (odds ratio 405; 95% confidence interval 298 to 551; 18 comparisons) None of the 13 studies that analysed methods reported that studies funded by industry was of poorer quality
Conclusion Systematic bias favours products which are made by the company funding the research Explanations include the selection of an inappropriate comparator to the product being investigated and publication bias
1,917 citations