Unwarranted claims of drug efficacy in pharmaceutical sales visits: are drugs approved on the basis of surrogate outcomes promoted appropriately?
Bibliographic record
Abstract
AIMS: This study compares physicians' recall of the claims of benefits on cardiovascular disease and diabetes made by pharmaceutical sales representatives for drugs approved on the basis of a surrogate outcome, i.e., an off-label claim, compared with those approved on the basis of a serious morbidity or mortality (clinical) outcome. METHODS: Physicians in primary care practices in Montreal, Vancouver, Sacramento and Toulouse, who saw sales representatives as part of their usual practice and served a non-referral population, were contacted in blocks of 25 from a randomized list of all physicians practising in the relevant metropolitan area. We compared how frequently physicians reported that sales reps made claims of serious morbidity or mortality (clinically meaningful) benefits for drugs approved on the basis of surrogate outcomes vs. drugs approved on the basis of clinical outcomes. RESULTS: There were 448 promotions for 58 unique brand name cardiovascular and diabetes drugs. Claims of clinically meaningful benefit were reported in 156 (45%) of the 347 promotions for surrogate outcome drugs, constituting unwarranted efficacy claims, i.e., off-label promotion. Claims of clinical benefit were reported in 72 of the 101 promotions (71%) for drugs approved on the basis of clinical outcomes, adjusted OR = 0.3 (95% CI 0.2, 0.6), P < 0.001. CONCLUSIONS: Claims of efficacy made in sales visit promotions for drugs approved only on the basis of surrogate outcomes extended beyond the regulator-approved efficacy information for the product in almost half of promotions. Unapproved claims of drug efficacy constitute a form of off-label promotion and merit greater attention from regulators.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.093 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".