Evidence map›Paper›PMID 35673045›Full record

ArticleStudies in health technology and informatics2022

Associations Between Aggregate NLP-Extracted Conflicts of Interest and Adverse Events by Drug Product.

S Scott Graham, Zoltan P Majdik, Johua B Barbour, Justin F Rousseau

Open access · hybridAbstract read
In one paragraph

Article in Studies in health technology and informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
16.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

S Scott GrahamDepartment of Rhetoric & Writing, The University of Texas at Austin, Austin, TX, USA.
Zoltan P MajdikDepartment of Communication, North Dakota State University, Fargo, ND, USA.
Johua B BarbourMoody College of Communication, The University of Texas at Austin, Austin, TX, USA.
Justin F RousseauDepartments of Neurology & Population Health, The Dell Medical School at The University of Texas at Austin, Austin, TX, USA.
The University of Texas at Austin · USAustin College · USNorth Dakota State University · US

Funding

Closing the loop with an automatic referral population and summarization systemR01LM014306 · NLM · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yifan Peng, Justin Frederick Rousseau · 2023 to 2026
$2.7M
A Network Science Approach to Conflicts of Interest: Metrics, Policies, and Communication DesignR01GM141476 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARBOUR, JOSHUA BEN, GRAHAM, SAMUEL · 2021 to 2024
$832k
NIGMS NIH HHS R01 GM141476NLM NIH HHS R01 LM014306
6 · The paper itself

Abstract

This study evaluates associations between aggregate conflicts of interest (COI) and drug safety. We used a machine-learning system to extract and classify COI from PubMed-indexed disclosure statements. Individual conflicts were classified as Type 1 (personal fees, travel, board memberships, and non-financial support), Type 2 (grants and research support), or Type 3 (stock ownership and industry employment). COI were aggregated by type compared to adverse events by product. Type 1 COI are associated with a 1.1-1.8% increase in the number of adverse events, serious events, hospitalizations, and deaths. Type 2 COI are associated with a 1.7-2% decrease in adverse events across severity levels. Type 3 COI are associated with an approximately 1% increase in adverse events, serious events, and hospitalizations, but have no significant association with adverse events resulting in death. The findings suggest that COI policies might be adapted to account the relative risks of different types of financial relationships.

Indexed as

Conflict of InterestDisclosureConflict of InterestHealth PolicyNatural Language Processing

Identifiers

PMID35673045
PMCPMC9186043
OpenAlexW4281750366

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.