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Record W1953016908 · doi:10.1186/cc3539

The benefits and threats of research partnerships with industry.

2005· article· en· W1953016908 on OpenAlexaff
Gordon DuVal

Bibliographic record

VenueCritical Care · 2005
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeneral partnershipGovernment (linguistics)Public relationsEquity (law)Medical researchConflict of interestPharmaceutical industryClinical trialMedicineBusinessMarketingFinancePolitical science

Abstract

fetched live from OpenAlex

During the past two decades, the involvement of non-academic sponsors of biomedical research, particularly clinical trial research, has increased exponentially. It is estimated that between 1980 and 2003 the overall research and development expenditure by US pharmaceutical companies increased from $2 billion to $33 billion [1]. The sources of funding for biomedical research have also shifted significantly towards industry. By 2002, 70% of funding for clinical trials came from industry [2]. The involvement of industry partners in research has undoubted benefits. Drug development is extraordinarily expensive, and government and other non-commercial sources of research funding have generally not been able to or willing to underwrite the enormous sums necessary to develop and test the medications and devices that have made remarkable improvements in the lives of so many. But partnership with industrial sponsors of research also carries potential threats both to human subject protection and to research integrity. Because such research may result in financial or other rewards for researchers and institutions, commercially sponsored research may taint individual or institutional judgment concerning important aspects of the conduct of research. To the extent that researchers have a financial interest in the success of the research, such as an equity interest in the sponsor, or if the researcher has come to rely upon the sponsor for research funding or for personal income, the researcher has financial interests that substantially align with those of the sponsor; that is, for a successful project with adequate recruitment and positive results. In an increasingly entrepreneurial environment, researchers and and/or institutions may own shares, options, or other interests in biotechnology companies formed for the purpose of exploiting research findings. Such interests may cause the investigator, perhaps unwittingly, to recruit subjects inappropriately, to downplay risks or exaggerate benefits, to cut corners on inclusion/exclusion criteria, or to under-report adverse events. Institutions that have come to rely on industry-sponsored research for overhead payments and other amounts that support the broader research enterprise may fail to provide adequate oversight to ensure appropriate research practices. While the existence of a financial or non-financial conflict does not itself show improper behavior, maintaining public trust in the integrity of scientific investigation and the protection of human subjects requires that conflicts be carefully managed. Particular precautions are necessary in critical care to ensure that appropriate research standards are met. For research in the intensive care unit there is frequently limited time available to secure consent, which is often obtained from family members, and in some emergency research may not be able to be obtained at all. Even those patients that appear capable of consenting may have no recollection of their intensive care unit stay, and family members may be overwhelmed when asked to make decisions for a patient with acute or life-threatening illness. Industrial sponsors of research tend to focus drug and device development on products for which a market exists or can be created, not necessarily on products for which there is the greatest need or social value. Industry-sponsored clinical trials can be of significant financial benefit to research institutions and researchers. Institutions' over-reliance on industry-funded research may therefore skew the institutional research agenda by focusing resources, and the talents of institutional researchers, on studies with commercial applications and away from other important research avenues. Institutions and investigators should also be aware of potential threats to the integrity of industry-sponsored research. Researchers with ties to industry have been shown to be more likely to report favorable results than researchers without such ties [3-5]. In clinical trials, sponsors have a clear interest in designing a trial that will have the greatest likelihood of demonstrating a positive result for their product. Sadly, sponsoring companies have in the past used a variety of methods to influence aspects of trial design in order to make it more likely that research yields the desired results [6]. Surrogate endpoints are measured that may at best be weak predictors of a relevant health outcome – or particularly sensitive endpoints, most probably to show a positive response, may be chosen [7,8]. Inappropriate measurement scales [9] and a range of other techniques may also be employed to skew research results in a positive way [10]. Furthermore, data are commonly retained by the sponsor in multicenter trials, who oversees their analysis and interpretation. In the analysis of data, a number of techniques may be employed to give the misleading appearance that the sponsor's product is superior to others. Calculations may be based on unrealistically large effect sizes that make data more likely to show a statistically significant result [11], or conclusions may be based on statistically insignificant differences [10] or inappropriate generalizations from findings [12]. Researchers should be wary also of the bias that may be introduced in industry's reporting of findings. Selective or misleading reports of findings, or conclusions that may not accord fully with the study data, are not uncommon [13]. Researchers should also ensure that research findings are not suppressed. Withholding research findings is a violation of the fundamental goal of medical research, to advance scientific knowledge in order to cure illness and relieve suffering [14]. In a 1997 survey, Blumenthal and colleagues found that 19.8% of academic life scientists had delayed publication of findings for longer than 6 months at the request of the sponsor [15]. In an analysis of 30 studies of drug-related research, Lexchin and colleagues demonstrated that research funded by drug companies is less likely to be published than other studies [16]. While research partnerships with industry may bring significant benefits to researchers and institutions, potential conflicts must be carefully monitored. Sometimes the protection and respectful treatment of subjects and the integrity of research require that some research opportunities be foregone, or are carried out by independent investigators elsewhere.

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)0.136
metaresearch head score (Gemma)0.265
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
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 score0.864
Threshold uncertainty score0.720

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1360.265
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0140.023
Scholarly communication0.0310.037
Open science0.0040.041
Research integrity0.0220.022
Insufficient payload (model declined to judge)0.0310.010

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 head0.788
GPT teacher head0.649
Teacher spread0.139 · 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 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

Citations9
Published2005
Admission routes1
Has abstractyes

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