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Cited by 1,039Meta-analysis and systematic reviewsPharmaceutical industry and healthcarescientometrics and bibliometrics research

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Dissemination and publication of research findings: an updated review of related biases

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Song, F, Parekh,, S, Hooper, L, Loke, YK, Ryder, J, Sutton, AJ, Hing, C, Kwok, CS, Pang, C, Harvey, I·2010·Health Technology Assessment
DOI 10.3310/hta14080
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Abstract

OBJECTIVES: To identify and appraise empirical studies on publication and related biases published since 1998; to assess methods to deal with publication and related biases; and to examine, in a random sample of published systematic reviews, measures taken to prevent, reduce and detect dissemination bias. DATA SOURCES: The main literature search, in August 2008, covered the Cochrane Methodology Register Database, MEDLINE, EMBASE, AMED and CINAHL. In May 2009, PubMed, PsycINFO and OpenSIGLE were also searched. Reference lists of retrieved studies were also examined. REVIEW METHODS: In Part I, studies were classified as evidence or method studies and data were extracted according to types of dissemination bias or methods for dealing with it. Evidence from empirical studies was summarised narratively. In Part II, 300 systematic reviews were randomly selected from MEDLINE and the methods used to deal with publication and related biases were assessed. RESULTS: Studies with significant or positive results were more likely to be published than those with non-significant or negative results, thereby confirming findings from a previous HTA report. There was convincing evidence that outcome reporting bias exists and has an impact on the pooled summary in systematic reviews. Studies with significant results tended to be published earlier than studies with non-significant results, and empirical evidence suggests that published studies tended to report a greater treatment effect than those from the grey literature. Exclusion of non-English-language studies appeared to result in a high risk of bias in some areas of research such as complementary and alternative medicine. In a few cases, publication and related biases had a potentially detrimental impact on patients or resource use. Publication bias can be prevented before a literature review (e.g. by prospective registration of trials), or detected during a literature review (e.g. by locating unpublished studies, funnel plot and related tests, sensitivity analysis modelling), or its impact can be minimised after a literature review (e.g. by confirmatory large-scale trials, updating the systematic review). The interpretation of funnel plot and related statistical tests, often used to assess publication bias, was often too simplistic and likely misleading. More sophisticated modelling methods have not been widely used. Compared with systematic reviews published in 1996, recent reviews of health-care interventions were more likely to locate and include non-English-language studies and grey literature or unpublished studies, and to test for publication bias. CONCLUSIONS: Dissemination of research findings is likely to be a biased process, although the actual impact of such bias depends on specific circumstances. The prospective registration of clinical trials and the endorsement of reporting guidelines may reduce research dissemination bias in clinical research. In systematic reviews, measures can be taken to minimise the impact of dissemination bias by systematically searching for and including relevant studies that are difficult to access. Statistical methods can be useful for sensitivity analyses. Further research is needed to develop methods for qualitatively assessing the risk of publication bias in systematic reviews, and to evaluate the effect of prospective registration of studies, open access policy and improved publication guidelines.

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Metadata

Authors
Song, F., Parekh, Hooper, L., Loke, Y., Ryder, J., Sutton, A., Hing, C., Kwok, C., Pang, C., & Harvey, I.
Affiliations
  • University of East Anglia (GB)
  • Watford General Hospital (GB)
Corresponding author
Song, F
ORCID
Venue
Health Technology Assessment
Publisher
National Institute for Health and Care Research
Published
2010-02
Volume
14
Issue
8
Pages
iii, ix-xi, 1
ISSN
  • 1366-5278 (ISSN-L)
  • 2046-4924
DOI
10.3310/hta14080
OpenAlex
W1994742944
Cited by
1,039
References
610
Citations by year
2026: 69 · 2025: 61 · 2024: 59 · 2023: 61 · 2022: 62 · 2021: 70 · 2020: 90 · 2019: 61 · 2018: 61 · 2017: 64 · 2016: 70 · 2015: 83 · 2014: 84 · 2013: 59 · 2012: 43
FWCI
12.47
Type
journal article
Language
en
Open access
Licence
Locations
  • Health Technology Assessment (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Leicester Research Archive (University of Leicester) (submittedVersion)
  • UEA Digital Repository (University of East Anglia) (submittedVersion)
Funders
Health Technology Assessment programme (06/92/02)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Health Sciences › Nursing › Issues, ethics and legal aspects › Pharmaceutical industry and healthcare
  • Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
Keywords
publication bias, reporting bias, selective reporting, grey literature, clinical trial registration, funnel plot, sensitivity analysis, reporting guidelines, complementary and alternative medicine, research integrity
MeSH terms
Humans, Review Literature as Topic, Bias, Publication Bias, Evidence-Based Medicine, Information Dissemination, Biomedical Research

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