Literature DB >> 16984055

Case study of the comparison of data from conference abstracts and full-text articles in health technology assessment of rapidly evolving technologies: does it make a difference?

Yenal Dundar1, Susanna Dodd, Paula Williamson, Rumona Dickson, Tom Walley.   

Abstract

OBJECTIVES: The aim of this study was to examine (i) the consistency of reporting research findings presented in conference abstracts and presentations and subsequent full publications, (ii) the ability to judge methodological quality of trials from conference abstracts and presentations, and (iii) the effect of inclusion or exclusion of data from these sources on the pooled effect estimates in a meta-analysis.
METHODS: This report is a case study of a selected health technology assessment review (TAR) of a rapidly evolving technology that had identified and included a meta-analysis of trial data from conference abstracts and presentations.
RESULTS: The overall quality of reporting in abstracts and presentations was poor, especially in abstracts. There was incomplete or inconsistent reporting of data in the abstract/presentations. Most often inconsistencies were between conference slide presentations and data reported in published full-text articles. Sensitivity analyses indicated that using data only from published papers would not have altered the direction of any of the results when compared with those using published and abstract data. However, the statistical significance of three of ten results would have changed. If conference abstracts and presentations were excluded from the early analysis, the direction of effect and statistical significance would have changed in one result. The overall conclusions of the original analysis would not have been altered.
CONCLUSIONS: There are inconsistencies in data presented as conference abstracts/presentations and those reported in subsequent published reports. These inconsistencies could impact the final assessment results. Data discrepancies identified across sources included in TARs should be highlighted and their impact assessed and discussed. Sensitivity analyses should be carried out with and without abstract/presentation data included in the analysis. Incomplete reporting in conference abstracts and presentations limits the ability of reviewers to assess confidently the methodological quality of trials.

Mesh:

Substances:

Year:  2006        PMID: 16984055     DOI: 10.1017/s0266462306051166

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  6 in total

1.  Outcomes of Retzius-sparing versus conventional robot-assisted radical prostatectomy: A KSER update series systematic review and meta-analysis.

Authors:  Doo Yong Chung; Hae Do Jung; Do Kyung Kim; Min Ho Lee; Sin Woo Lee; Sunghyun Paick; Joo Yong Lee; Seung Hyun Jeon
Journal:  PLoS One       Date:  2022-05-26       Impact factor: 3.752

2.  Economic outcomes associated with atypical antipsychotics in bipolar disorder: a systematic review.

Authors:  Rachael L Fleurence; Mary Lou Chatterton; Julia M Dixon; Kitty Rajagopalan
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2007

3.  Bias due to selective inclusion and reporting of outcomes and analyses in systematic reviews of randomised trials of healthcare interventions.

Authors:  Matthew J Page; Joanne E McKenzie; Jamie Kirkham; Kerry Dwan; Sharon Kramer; Sally Green; Andrew Forbes
Journal:  Cochrane Database Syst Rev       Date:  2014-10-01

Review 4.  Relative survival benefit and morbidity with fluids in severe sepsis - a network meta-analysis of alternative therapies.

Authors:  M Bansal; A Farrugia; S Balboni; G Martin
Journal:  Curr Drug Saf       Date:  2013-09

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

Authors:  Roberta W Scherer; Ian J Saldanha
Journal:  Syst Rev       Date:  2019-11-07

6.  ClinicalTrials.gov registration can supplement information in abstracts for systematic reviews: a comparison study.

Authors:  Roberta W Scherer; Lynn Huynh; Ann-Margret Ervin; Jakeisha Taylor; Kay Dickersin
Journal:  BMC Med Res Methodol       Date:  2013-06-18       Impact factor: 4.615

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.