Reduction of clonal hematopoiesis mutation burden in coronary patients treated with low-dose colchicine
Bibliographic record
Abstract
ABSTRACT Clonal hematopoiesis involves mutations in hematopoietic stem/progenitor cells, which increase the risk of cardiovascular disease, particularly under pro-inflammatory conditions. This study assessed the impact of the anti-inflammatory medication colchicine on clonal hematopoiesis in patients with recent myocardial infarction from the COLCOT trial. Participants were randomly assigned to low-dose colchicine (0.5 mg daily) or placebo, with 848 providing two DNA samples for longitudinal analysis. Targeted error-corrected sequencing was used, and 15,919 mutations were followed over a median period of 19.5 months. The results showed significantly lower variant allele fractions in the colchicine group compared to placebo (p interaction=0.03), with notable reductions in TET2 (10.3%, p=0.007; p interaction=0.001), TP53 (11.8%, p=0.001; p interaction=0.03), and SF3B1 mutations (19.9%, p=0.006; p interaction=0.005). Thus, colchicine reduced the proportion of clonal hematopoiesis mutations in patients with coronary disease, and longer-term studies with diverse populations are needed to confirm its potential benefits in mitigating related health risks.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".