Direct-To-Consumer Internet Promotion Of Robotic Prostatectomy Exhibits Varying Quality Of Information
Bibliographic record
Abstract
Robotic surgery to remove a cancerous prostate has become a popular treatment. Internet marketing of this surgery provides an intriguing case study of direct-to-consumer promotions of medical devices, which are more loosely regulated than pharmaceutical promotions. We investigated whether the claims made in online promotions of robotic prostatectomy were consistent with evidence from comparative effectiveness studies. After performing a search and cross-sectional analysis of websites that mentioned the procedure, we found that many sites claimed benefits that were unsupported by evidence and that 42 percent of the sites failed to mention risks. Most sites were published by hospitals and physicians, which the public may regard as more objective than pages published by manufacturers. Unbalanced information may inappropriately raise patients' expectations. Increasing enforcement and regulation of online promotions may be beyond the capabilities of federal authorities. Thus, the most feasible solution may be for the government and medical societies to promote the production of balanced educational material.
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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 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".