MétaCan
Menu
← Back to cohort
Record W2157228972

Media portrayal of conflicts of interest in herbal remedy clinical trials.

2006· article· en· W2157228972 on OpenAlexaffabout
Megan Koper, Tania Bubela, Timothy Caulfield, Heather Boon

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConflict of interestMainstreamPublic interestQuality (philosophy)MedicinePublic relationsJudgementAlternative medicineClinical trialPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Complementary and Alternative Medicine (CAM) encompasses wide variety of treatments, such as herbal remedies, not currently thought to be part of mainstream medicine. Our study focuses on herbal remedies, as their use is significant and increasing. (1) We ask whether media coverage of conflicts of interest in clinical trials of herbal remedies is of sufficient quality to provide the public with information to make decisions that are rational, well-informed, and low-risk. We know that the vast quantity of information available on CAM through popular media is of varying quality. (2) In recent years, the scientific community is increasingly interested in studying herbal remedies. (3) As conflict of interest has been an issue in synthetic drug trials, especially those receiving funding industry, we have reason to believe that this will also be true of clinical trials of herbal remedies, many of which are industry funded. What is conflict of interest and why are we interested? In his thoughtful and widely accepted analysis, Thompson defined conflict of interest as a set of conditions in which professional judgement concerning primary interest (such as patient's welfare or validity of research) tends to be unduly influenced by secondary interest (such as financial gain). (4) He also noted that, while secondary interest is usually not illegitimate in itself, its relative weight in professional decision-making is problematic. The goal, therefore, is to prevent secondary interests from dominating or appearing to dominate the relevant primary interest in the making of professional decisions, rather than to reduce or eliminate them completely. (5) Conflict of interest rules, those regulating the disclosure and avoidance of these conflicts, generally focus on financial gain because it is relatively objective and easier to regulate by impartial rules. This does not mean, however, that financial gain has greater potential for harm than other secondary interests. (6) The subtle distinction between conflict of interest and bias must also be emphasized. A declared conflict should merely be seen as an association creating the potential for bias, rather than an indication of bias itself. (7) It has also been noted that if an association does compromise one's judgment, it is generally result of unconscious bias rather than outright dishonesty. (8) Because the influence of secondary interests can be extremely subtle, the presence of bias is often difficult to determine with any degree of certainty. Why are these issues important in media context? As the popular press is often cited as prominent source of medical information for the general public, it has the ability to shape public views and interpretations of new medical research. (9) It follows that media reporting has the capacity to shape public perceptions of safety and efficacy of particular herbal remedy, thereby influencing patterns of use. The goal of our analysis is to infer how reporting of herbal remedy clinical trials by the popular media may be influenced by the disclosure of funding information and competing interests (i.e., the perception of conflict) in the scientific and medical literature. Approach We used coding frame analysis to examine the media coverage of conflicts of interest in clinical trials of herbal remedies. (10) This technique allowed us to systematically compare newspaper articles to the reporting of the same trials in the medical literature. We compared 389 newspaper articles (from the U.S., U.K. and Canada) reporting on herbal remedy clinical trials with the reporting of the 58 clinical trials in the medical literature. Primarily, we assessed tone, claims of efficacy, reporting of risk, and the disclosure of funding information and competing interests. Our coding frame allowed us to compile information regarding the date and location of publication, authorship, the portrayed likelihood of benefits and risks, disclosure of conflicts of interest, disclosure of funding information and funding agency involvement, whether the article was framed as controversy, and overall tone in both newspaper articles and medical journal reports of clinical trials. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.045
metaresearch head score (Gemma)0.236
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.236
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0050.008
Scholarly communication0.0130.010
Open science0.0010.007
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.500
GPT teacher head0.440
Teacher spread0.060 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainIncentives
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2006
Admission routes2
Has abstractyes

Explore more

Same venuePubMed→Same topicComplementary and Alternative Medicine Studies→French-language works237,207→