Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Thiazolidinediones (TZDs) are known to increase the risk of heart failure in patients with type 2 diabetes. We aimed to evaluate the magnitude of the risk of heart failure with TZDs and classify this adverse effect under the novel dose-time-susceptibility system. RESEARCH DESIGN AND METHODS: Evidence from randomized trials, controlled observational studies, anecdotal case reports, case series, and spontaneous reports in the Canadian Drug Reaction Monitoring Program (CADRMP) was analyzed in a teleo-analysis. RESULTS: A random-effects meta-analysis of three randomized controlled trials showed an odds ratio (OR) of 2.1 (95% CI 1.08-4.08; P = 0.03) for the risk of heart failure in patients randomized to TZDs compared with placebo. Four observational studies revealed an OR of 1.55 (1.33-1.80; P < 0.00001) for heart failure with TZDs. A dose-time-susceptibility analysis of 28 published reports and 214 spontaneous reports from the CADRMP database showed that heart failure was more likely to occur after several months (with median treatment duration of 24 weeks after initiation of therapy). Heart failure equally occurred at high and low doses. The adverse reaction was not limited to the elderly, with 42 of 162 (26%) of the reported cases occurring in patients aged <60 years. CONCLUSIONS: Our teleo-analysis confirms the increased magnitude of the risk of heart failure with TZDs. We estimate the number needed to harm with TZDs to be approximately 50 over 2.2 years. Existing guidelines and package inserts may have to be revised to incorporate these risk characteristics of TZDs.
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.
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 | 0.000 | 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 | 0.001 | 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 it