Conflict of Interest: Are Iranian Breast Cancer Specialists Prone to it?
Bibliographic record
Abstract
INTRODUCTION: Giving gifts is a common way to promote and encourage the use of products of trading companies and increase the patient referrals to diagnostic centers. The present study aimed to assess the practice of physicians of different (sub) specialties/educational levels engaged in breast cancer management in some conflict of interest (COI) situations in their relation with pharmaceutical companies and paraclinical centers. METHODS: A self-administered online questionnaire including questions on demographic and professional information as well as the attitude of physicians toward COI by answering the questions in three different practical scenarios was developed. Respondents were asked to answer each question by selecting one of the five options: strongly agree, agree, undecided/neutral, disagree, and strongly disagree in their own practices as well as the same questions asking the same subject for what they think of the other physicians. Descriptive statistical analysis was used to report qualitative and quantitative variables. RESULT: The response rate was 66.24%. In general, physicians considered their performance better than that of other physicians in the situations asked. More than 90% stated that they would participate in the sponsorship congress for introducing new drugs. One fifth of the physicians stated that they would accept the 30% financial proposition for the referral of every single patient to other clinics. More than half of the physicians stated that they had considered the risks resulted from the COI for referring patients to private radiobiological centers. CONCLUSION: This study indicated that physicians in the field of breast cancer were at the risk of COI. Even within the medical field, there is not sufficient trust in the proper functioning of doctors in dealing with COI situations.<br />.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".