Dataset Information

Discordant financial conflicts of interest disclosures between clinical trial conference abstract and subsequent publication.

ABSTRACT:

Background

Financial conflicts of interest (FCOI) are known to be prevalent in medicine. Authorship of pivotal trials reap non-financial benefits including publication productivity that can be used for assessment of tenure positions and promotion. The purpose of this investigation was to quantify the prevalence and discordance of academic trial author (authors) FCOI in industry-sponsored drug trials that were initially presented as oral abstracts and subsequently resulted in a peer-reviewed publication.

Methods

Oral abstracts from the American Society of Clinical Oncology (ASCO) 2017 Annual Meeting that were subsequently published were identified. Studies that were non-industry sponsored, non-adult, or non-therapeutic trials were excluded. Studies that did not have a subsequent peer-reviewed publication or had a publication preceding the ASCO 2017 Annual Meeting were also excluded. FCOI was categorized and impact factor (IF) for the journal at the time of publication was retrieved. FCOI discordance between the oral abstract and publication was calculated based on geographic location and IF.

Results

A total of 22 paired abstract and publications met inclusion criteria for further analysis. A total of 384 authors were identified, of these 280 authors (74.1%) were included in both the oral abstract and subsequent publication. A total of 76% of these 280 authors had FCOI and 66.4% had FCOI discordance. There were statistically significant differences for the sum of FCOI discordance for U.S.-based authors (p = 0.0004) but not for journal IF. When analyzing the sum of absolute differences of FCOI discordance, statistical significance was reached for authors from any of the three geographic regions, as well as, low and high IF journals (all p-values < 0.0001).

Conclusions

This study draws attention to the lack of uniformity and vetting of FCOI reporting in abstracts and journals publishing solid tumor oncology trial results. This is particularly concerning, since FCOI is prevalent globally.

SUBMITTER: Weiss GJ

PROVIDER: S-EPMC6375255 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Discordant financial conflicts of interest disclosures between clinical trial conference abstract and subsequent publication.

Weiss Glen J GJ Davis Roger B RB

PeerJ 20190211

<h4>Background</h4>Financial conflicts of interest (FCOI) are known to be prevalent in medicine. Authorship of pivotal trials reap non-financial benefits including publication productivity that can be used for assessment of tenure positions and promotion. The purpose of this investigation was to quantify the prevalence and discordance of academic trial author (authors) FCOI in industry-sponsored drug trials that were initially presented as oral abstracts and subsequently resulted in a peer-revie ...[more]

PMID: 30775185

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Project description:Background There is a high prevalence of financial conflicts of interest (COI) between physicians and industry. Objectives To conduct a systematic review with meta-analysis examining the completeness of self-reported financial COI disclosures by physicians, and identify factors associated with non-disclosure. Data sources MEDLINE, Embase and PsycINFO were searched for eligible studies up to April 2020 and supplemented with material identified in the references and citing articles. Data extraction and synthesis Data were independently abstracted by two authors. Data synthesis was performed via systematic review of eligible studies and random-effects meta-analysis. Main outcomes and measures The proportion of discrepancies between physician self-reported disclosures and objective payment data was the main outcome. The proportion of discrepant funds and factors associated with non-disclosure were also examined. Results 40 studies were included. The pooled proportion of COI discrepancies at the article level was 81% (range: 54%–98%; 95% CI 72% to 89%), 79% at the payment level (range: 71%–89%; 95% CI 67% to 89%), 93% at the authorship level (range: 71%–100%; 95% CI 79% to 100%) and 66% at the author level (range: 8%–99%; 95% CI 48% to 78%). The proportion of funds discrepant was 33% (range: 2%–77%; 95% CI 12% to 58%). There was high heterogeneity between studies across all five analyses (I2=94%–99%). Most undisclosed COI were related to food and beverage, or travel and lodging. While the most common explanation for failure to disclose was perceived irrelevance, a median of 45% of non-disclosed payments were directly or indirectly related to the work. A smaller monetary amount was the most common factor associated with nondisclosure. Conclusions Physician self-reports of financial COI are highly discrepant with objective data sources reporting payments from industry. Stronger policies are required to reduce reliance on physician self-reporting of financial COI and address non-compliance.

Project description:Background. Tobacco companies have actively promoted the substitution of cigarettes with purportedly safer tobacco products (e.g., smokeless tobacco, e-cigarettes) as tobacco harm reduction (THR). Given the tobacco, e-cigarette, and pharmaceutical industries' substantial financial interests, we quantified industry influence on support for THR. Objectives. To analyze a comprehensive set of articles published in peer-reviewed journals assessing funding sources and support for or opposition to substitution of tobacco or nicotine products as harm reduction. Search Methods. We searched PubMed, Embase, Web of Science, and PsycINFO with a comprehensive search string including all articles, comments, and editorials published between January 1, 1992, and July 26, 2016. Selection Criteria. We included English-language publications published in peer-reviewed journals addressing THR in humans and excluded studies on modified cigarettes, on South Asian smokeless tobacco variants, on pregnant women, on animals, not mentioning a tobacco or nicotine product, on US Food and Drug Administration-approved nicotine replacement therapies, and on nicotine vaccines. Data Collection and Analysis. We double-coded all articles for article type; primary product type (e.g., snus, e-cigarettes); themes for and against THR; stance on THR; THR concepts; funding or affiliation with tobacco, e-cigarette, pharmaceutical industry, or multiple industries; and each author's country. We fit exact logistic regression models with stance on THR as the outcome (pro- vs anti-THR) and source of funding or industry affiliation as the predictor taking into account sparse data. Additional models included article type as the outcome (nonempirical or empirical) and industry funding or affiliation as predictor, and stratified analyses for empirical and nonempirical studies with stance on THR as outcome and funding source as predictor. Main Results. Searches retrieved 826 articles, including nonempirical articles (21%), letters or commentaries (34%), editorials (5%), cross-sectional studies (15%), systematic reviews and meta-analyses (3%), and randomized controlled trials (2%). Overall, 23.9% disclosed support by industry; 49% of articles endorsed THR, 42% opposed it, and 9% took neutral or mixed positions. Support from the e-cigarette industry (odds ratio [OR]?=?20.9; 95% confidence interval [CI]?=?5.3, 180.7), tobacco industry (OR?=?59.4; 95% CI?=?10.1, +infinity), or pharmaceutical industry (OR?=?2.18; 95% CI?=?1.3, 3.7) was significantly associated with supportive stance on THR in analyses accounting for sparse data. Authors' Conclusions. Non-industry-funded articles were evenly divided in stance, while industry-funded articles favored THR. Because of their quantity, letters and comments may influence perceptions of THR when empirical studies lack consensus. Public Health Implications. Public health practitioners and researchers need to account for industry funding when interpreting the evidence in THR debates.

Project description:Conferences with contributed talks grouped into multiple concurrent sessions pose an interesting scheduling problem. From an attendee's perspective, choosing which talks to visit when there are many concurrent sessions is challenging since an individual may be interested in topics that are discussed in different sessions simultaneously. The frequency of topically similar talks in different concurrent sessions is, in fact, a common cause for complaint in post-conference surveys. Here, we introduce a practical solution to the conference scheduling problem by heuristic optimization of an objective function that weighs the occurrence of both topically similar talks in one session and topically different talks in concurrent sessions. Rather than clustering talks based on a limited number of preconceived topics, we employ a topic model to allow the topics to naturally emerge from the corpus of contributed talk titles and abstracts. We then measure the topical distance between all pairs of talks. Heuristic optimization of preliminary schedules seeks to balance the topical similarity of talks within a session and the dissimilarity between concurrent sessions. Using an ecology conference as a test case, we find that stochastic optimization dramatically improves the objective function relative to the schedule manually produced by the program committee. Approximate Integer Linear Programming can be used to provide a partially-optimized starting schedule, but the final value of the discrimination ratio (an objective function used to estimate coherence within a session and disparity between concurrent sessions) is surprisingly insensitive to the starting schedule. Furthermore, we show that, in contrast to the manual process, arbitrary scheduling constraints are straightforward to include. We applied our method to a second biology conference with over 1,000 contributed talks plus scheduling constraints. In a randomized experiment, biologists responded similarly to a machine-optimized schedule and a highly modified schedule produced by domain experts on the conference program committee.

Dataset Information

Discordant financial conflicts of interest disclosures between clinical trial conference abstract and subsequent publication.

Background

Methods

Results

Conclusions

Publications

Discordant financial conflicts of interest disclosures between clinical trial conference abstract and subsequent publication.

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