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Record W2132523566 · doi:10.4212/cjhp.v54i4.664

Conflict of Interest and Collaboration between Science and Industry

2001· article· en· W2132523566 on OpenAlexaffvenueabout
Scott E. Walker

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2001
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsPublicationConflict of interestConfidentialityVetoPublic relationsStatement (logic)Position (finance)Political scienceTask (project management)BusinessComputer scienceOperations researchLawEngineeringManagementPoliticsEconomics

Abstract

fetched live from OpenAlex

In September 2001 the members of the International Committee of Medical Journal Editors simultaneously announced a revision to the “Uniform Requirements for Manuscripts Submitted to Biomedical Journals.” The primary change was the addition of a statement that the editors of medical journals may choose not to review or publish articles for which a sponsor had sole control over the data or the power of veto on the decision to publish. At first blush, this position seems trivial and far removed from the daily life of a pharmacist. How could a company decision to limit publication affect a pharmacist, especially one who is not involved in research? However, publication, and more specifically decisions about what is and is not published, directly affects one of the basic functions of pharmacists — supplying information. We devote time to keeping up with the literature, finding out what is current, and determining which information is accurate. This task can be difficult and may even be impossible if information is withheld or if only “approved” packets of information are released to us. The new conflict of interest statement in the Uniform Requirements is designed to combat these problems and could affect both how research is conducted and the type of information that eventually gets published. Thus, although industry support of research is laudable and necessary and must continue, a balance must be found between industry’s desire for confidentiality and researchers’ need for, and the right of access to, accurate, current, and complete information. So why was this step necessary? For every industry-sponsored study, there is, in addition to the protocol, a confidentiality agreement. The right of access to accurate, current, and complete information can be restricted by such a confidentiality agreement or by a legal decision about who owns the data. Given the current level of industry-sponsored research, the amount of information that could be withheld is potentially significant. In a day and age when more scientists are producing more information than at any other time in history, it might seem surprising that a single study or piece of information could be regarded by any one group as so potentially catastrophic to their market that they feel it must be removed from public sight. However, the market for prescription drugs has become increasingly competitive, and companies must often focus on sometimes trivial differences to distinguish one drug from others in the same class. On this basis, companies may feel it necessary to control information about their products and, indeed, several have attempted to suppress study results. At least 2 examples have been described in detail. The case receiving the most Canadian press attention involved Dr. Nancy Olivieri, Apotex, and the iron chelator deferiprone or L1. A second case involved Knoll’s attempt to suppress publication of a thyroxine equivalence study. In both cases the pharmaceutical firm pointed to a signed contract stipulating that publication of any data required agreement from the sponsor for reasons of confidentiality. If these were the only examples, there would probably be no need to change the guidelines governing manuscript submission. However, in a survey of 3394 life science faculty at the 50 universities that received the most National Institutes of Health funding, 410 respondents indicated that publication of their results had been delayed for more than 6 months at least once in the previous 3 years because of a financial consideration. The fact that manufacturers and some academics take steps to protect a financial interest should not be surprising. However, I am amazed at the lengths to which some manufacturers have gone to suppress publication. Suppression generally occurs

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)0.206
metaresearch head score (Gemma)0.424
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.977
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2060.424
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0070.024
Scholarly communication0.0280.015
Open science0.0030.021
Research integrity0.0230.033
Insufficient payload (model declined to judge)0.0140.005

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 head0.508
GPT teacher head0.538
Teacher spread0.030 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainIncentives
GenreCommentary

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

Citations0
Published2001
Admission routes3
Has abstractyes

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