PMID- 27649528 OWN - NLM STAT- MEDLINE DCOM- 20170606 LR - 20220408 IS - 1549-1676 (Electronic) IS - 1549-1277 (Print) IS - 1549-1277 (Linking) VI - 13 IP - 9 DP - 2016 Sep TI - Reporting of Adverse Events in Published and Unpublished Studies of Health Care Interventions: A Systematic Review. PG - e1002127 LID - 10.1371/journal.pmed.1002127 [doi] LID - e1002127 AB - BACKGROUND: We performed a systematic review to assess whether we can quantify the underreporting of adverse events (AEs) in the published medical literature documenting the results of clinical trials as compared with other nonpublished sources, and whether we can measure the impact this underreporting has on systematic reviews of adverse events. METHODS AND FINDINGS: Studies were identified from 15 databases (including MEDLINE and Embase) and by handsearching, reference checking, internet searches, and contacting experts. The last database searches were conducted in July 2016. There were 28 methodological evaluations that met the inclusion criteria. Of these, 9 studies compared the proportion of trials reporting adverse events by publication status. The median percentage of published documents with adverse events information was 46% compared to 95% in the corresponding unpublished documents. There was a similar pattern with unmatched studies, for which 43% of published studies contained adverse events information compared to 83% of unpublished studies. A total of 11 studies compared the numbers of adverse events in matched published and unpublished documents. The percentage of adverse events that would have been missed had each analysis relied only on the published versions varied between 43% and 100%, with a median of 64%. Within these 11 studies, 24 comparisons of named adverse events such as death, suicide, or respiratory adverse events were undertaken. In 18 of the 24 comparisons, the number of named adverse events was higher in unpublished than published documents. Additionally, 2 other studies demonstrated that there are substantially more types of adverse events reported in matched unpublished than published documents. There were 20 meta-analyses that reported the odds ratios (ORs) and/or risk ratios (RRs) for adverse events with and without unpublished data. Inclusion of unpublished data increased the precision of the pooled estimates (narrower 95% confidence intervals) in 15 of the 20 pooled analyses, but did not markedly change the direction or statistical significance of the risk in most cases. The main limitations of this review are that the included case examples represent only a small number amongst thousands of meta-analyses of harms and that the included studies may suffer from publication bias, whereby substantial differences between published and unpublished data are more likely to be published. CONCLUSIONS: There is strong evidence that much of the information on adverse events remains unpublished and that the number and range of adverse events is higher in unpublished than in published versions of the same study. The inclusion of unpublished data can also reduce the imprecision of pooled effect estimates during meta-analysis of adverse events. FAU - Golder, Su AU - Golder S AD - Department of Health Sciences, University of York, York, United Kingdom. FAU - Loke, Yoon K AU - Loke YK AUID- ORCID: 0000-0001-9109-2307 AD - Norwich Medical School, University of East Anglia, Norwich, United Kingdom. FAU - Wright, Kath AU - Wright K AD - Centre for Reviews and Dissemination (CRD), University of York, York, United Kingdom. FAU - Norman, Gill AU - Norman G AUID- ORCID: 0000-0002-3972-5733 AD - School of Nursing, Midwifery & Social Work, University of Manchester, Manchester, United Kingdom. LA - eng GR - PDF-2014-07-041/DH_/Department of Health/United Kingdom PT - Journal Article PT - Review PT - Systematic Review DEP - 20160920 PL - United States TA - PLoS Med JT - PLoS medicine JID - 101231360 SB - IM MH - *Clinical Trials as Topic MH - Drug-Related Side Effects and Adverse Reactions/*epidemiology MH - Humans MH - *Meta-Analysis as Topic MH - Publication Bias/*statistics & numerical data MH - *Review Literature as Topic MH - Risk Assessment PMC - PMC5029817 COIS- The authors have declared that no competing interests exist. EDAT- 2016/09/21 06:00 MHDA- 2017/06/07 06:00 PMCR- 2016/09/20 CRDT- 2016/09/21 06:00 PHST- 2016/02/17 00:00 [received] PHST- 2016/08/10 00:00 [accepted] PHST- 2016/09/21 06:00 [entrez] PHST- 2016/09/21 06:00 [pubmed] PHST- 2017/06/07 06:00 [medline] PHST- 2016/09/20 00:00 [pmc-release] AID - PMEDICINE-D-16-00537 [pii] AID - 10.1371/journal.pmed.1002127 [doi] PST - epublish SO - PLoS Med. 2016 Sep 20;13(9):e1002127. doi: 10.1371/journal.pmed.1002127. eCollection 2016 Sep.