Press Release: Substantial Improvements in Cancer Trials Not likely Caused By Placebo Effects
Bibliographic record
Abstract
An analysis of placebo effects in randomized double-blinded placebo-controlled trials of cancer treatments has found that placebos are sometimes associated with improved control of symptoms such as pain and appetite but rarely with objective tumor response. The findings appear in a review article in the January 1 issue of the Journal of the National Cancer Institute. The placebo effect is an effect seen in patients given an intervention, such as a placebo, that has no pharmacologically-mediated action against the disease. Previous studies have suggested that some cancer patients who had received a placebo for pain reported a reduction in pain after the intervention. To determine the probability that a placebo will lead to improvement of symptoms and tumor response, Gisèle Chvetzoff, M.D., of the Centre Léon Bérard in Lyon, France, and Ian F. Tannock, M.D., Ph.D., of the Princess Margaret Hospital in Toronto, reviewed reports of 37 randomized controlled trials that compared a group receiving active treatment with a group receiving a placebo. The authors also reviewed reports of 10 randomized controlled trials that compared a group receiving active treatment plus best supportive care with a group receiving best supportive care alone. Some of the trials looked at individual responses, and other trials looked at group responses.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.000 | 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".