25
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      How should systematic reviewers handle conference abstracts? A view from the trenches

      letter
      1 , , 2 , 3
      Systematic Reviews
      BioMed Central

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          While identifying and cataloging unpublished studies from conference proceedings is generally recognized as a good practice during systematic reviews, controversy remains whether to include study results that are reported in conference abstracts. Existing guidelines provide conflicting recommendations.

          Main body

          The main argument for including conference abstracts in systematic reviews is that abstracts with positive results are preferentially published, and published sooner, as full-length articles compared with other abstracts. Arguments against including conference abstracts are that (1) searching for abstracts is resource-intensive, (2) abstracts may not contain adequate information, and (3) the information in abstracts may not be dependable. However, studies comparing conference abstracts and fully published articles of the same study find only minor differences, usually with conference abstracts presenting preliminary results. Other studies that have examined differences in treatment estimates of meta-analyses with and without conference abstracts report changes in precision, but usually not in the treatment effect estimate. However, in some cases, including conference abstracts has made a difference in the estimate of the treatment effect, not just its precision. Instead of arbitrarily deciding to include or exclude conference abstracts in systematic reviews, we suggest that systematic reviewers should consider the availability of evidence informing the review. If available evidence is sparse or conflicting, it may be worthwhile to search for conference abstracts. Further, attempts to contact authors of abstracts or search for protocols or trial registers to supplement the information presented in conference abstracts is prudent. If unique information from conference abstracts is included in a meta-analysis, a sensitivity analysis with and without the unique results should be conducted.

          Conclusions

          Under given circumstances, it is worthwhile to search for and include results from conference abstracts in systematic reviews.

          Related collections

          Most cited references30

          • Record: found
          • Abstract: found
          • Article: not found

          Publication bias and clinical trials.

          A study was performed to evaluate the extent to which the medical literature may be misleading as a result of selective publication of randomized clinical trials (RCTs) with results showing a statistically significant treatment effect. Three hundred eighteen authors of published trials were asked whether they had participated in any unpublished RCTs. The 156 respondents reported 271 unpublished and 1041 published trials. Of the 178 completed unpublished RCTs with a trend specified, 26 (14%) favored the new therapy compared to 423 of 767 (55%) published reports (p less than 0.001). For trials that were completed but not published, the major reasons for nonpublication were "negative" results and lack of interest. From the data provided, it appears that nonpublication was primarily a result of failure to write up and submit the trial results rather than rejection of submitted manuscripts. The results of this study imply the existence of a publication bias of importance both to meta-analysis and the interpretation of statistically significant positive trials.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            State-of-the-evidence reviews: advantages and challenges of including grey literature.

            Increasingly, health policy decision-makers and professionals are turning to research-based evidence to support decisions about policy and practice. Systematic reviews are useful for gathering, summarizing, and synthesizing published and unpublished research about clearly defined interventions. State-of-the-evidence reviews are broader than traditional systematic reviews and may include not only published and unpublished research, but also published and unpublished non-research literature. Decisions about whether to include this "grey literature" in a review are challenging and lead to many questions about whether the advantages outweigh the challenges. The primary purpose of this article is to describe what constitutes grey literature, and methods to locate it and assess its quality. The secondary purpose is to discuss the core issues to consider when making decisions to include grey literature in a state-of-the-evidence review. A recent state-of-the-evidence review is used as an exemplar to present advantages and challenges related to including grey literature in a review. Despite the challenges, in the exemplar, inclusion of grey literature was useful to validate the results of a research-based literature search. Decisions about whether to include grey literature in a state-of-the-evidence review are complex. A checklist to assist in decision-making was created as a tool to assist the researcher in determining whether it is advantageous to include grey literature in a review.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Factors influencing publication of research results. Follow-up of applications submitted to two institutional review boards.

              --To investigate factors associated with the publication of research findings, in particular, the association between "significant" results and publication. --Follow-up study. --Studies approved in 1980 or prior to 1980 by the two institutional review boards that serve The Johns Hopkins Health Institutions--one that serves the School of Medicine and Hospital and the other that serves the School of Hygiene and Public Health. --A total of 737 studies were followed up. --Of the studies for which analyses had been reported as having been performed at the time of interview, 81% from the School of Medicine and Hospital and 66% from the School of Hygiene and Public Health had been published. Publication was not associated with sample size, presence of a comparison group, or type of study (eg, observational study vs clinical trial). External funding and multiple data collection sites were positively associated with publication. There was evidence of publication bias in that for both institutional review boards there was an association between results reported to be significant and publication (adjusted odds ratio, 2.54; 95% confidence interval, 1.63 to 3.94). Contrary to popular opinion, publication bias originates primarily with investigators, not journal editors: only six of the 124 studies not published were reported to have been rejected for publication. --There is a statistically significant association between significant results and publication.
                Bookmark

                Author and article information

                Contributors
                +1(410) 502-4636 , rschere1@jhu.edu
                ian_saldanha@brown.edu
                Journal
                Syst Rev
                Syst Rev
                Systematic Reviews
                BioMed Central (London )
                2046-4053
                7 November 2019
                7 November 2019
                2019
                : 8
                : 264
                Affiliations
                [1 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Center for Clinical Trials and Evidence Synthesis, Department of Epidemiology, , Johns Hopkins Bloomberg School of Public Health, ; 615 N. Wolfe Street, Room E6138, Baltimore, MD 21205 USA
                [2 ]ISNI 0000 0004 1936 9094, GRID grid.40263.33, Center for Evidence Synthesis in Health, Department of Health Services, Policy, and Practice (Primary), , Brown University School of Public Health, ; Providence, RI USA
                [3 ]ISNI 0000 0004 1936 9094, GRID grid.40263.33, Department of Epidemiology (Joint), , Brown University School of Public Health, ; Providence, RI USA
                Author information
                http://orcid.org/0000-0003-2493-1769
                Article
                1188
                10.1186/s13643-019-1188-0
                6836535
                31699124
                f928f346-369f-4df7-8a20-7d891c1f3f44
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 3 April 2019
                : 5 October 2019
                Categories
                Commentary
                Custom metadata
                © The Author(s) 2019

                Public health
                Public health

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content561

                Cited by110

                Most referenced authors733