The FDA and PLATO Investigators death lists: Call for a match
Bibliographic record
Abstract
PURPOSE: The FDA-issued PLATO trial dataset revealed that some primary death causes (PDCs) were inaccurately reported favouring ticagrelor. However, the PLATO Investigators operated the shorter death list of uncertain quality. We compared if PDC match when trial fatalities were reported to the FDA and by the PLATO Investigators. METHOD: The FDA list contains precisely detailed 938 PLATO deaths, while shorter investigators dataset consists of 905 deaths. We matched four vascular (sudden, post-MI, heart failure and stroke), and three non-vascular (cancer, sepsis and suicide) PDC between death lists. RESULTS: There were more sudden deaths in the shorter list than in the FDA dataset (161 vs 138; P < .03) and post-AMI (373 vs 178; P < .001) but fewer heart failure deaths (73 vs 109; P = .02). Stroke numbers match well (39 vs 37; P = NS) with only two ticagrelor cases removed. Cancer matched well (32 vs 31; P = NS), and sepsis cases were identical (30 vs 30; P = NS). However, two extra clopidogrel suicides in the shorter list are impossible to comprehend. CONCLUSIONS: The PLATO trial PDCs were mismatched between FDA and investigators sets. We are kindly asking the ticagrelor sponsor or/and concerned PLATO Investigators to clarify the PDC dataset match.
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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 | 0.002 | 0.022 |
| 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 | 0.000 |
| 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".