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Individual lifetime benefit from low-dose colchicine in chronic coronary artery disease patients

2022· article· en· W4306253301 on OpenAlexaff
P.M. Burger, Jannick A N Dorresteijn, Aernoud T.L. Fiolet, S Koudstaal, John W. Eikelboom, Stefan M. Nidorf, Pauline Thompson, Jan H. Cornel, Charley Budgeon, Philippe Gabríel Steg, M Cramer, Martin Teraa, Deepak L. Bhatt, Frank L.J. Visseren, Arend Mosterd

Bibliographic record

VenueEuropean Heart Journal · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineMaceInterquartile rangeInternal medicineMyocardial infarctionCoronary artery diseaseCardiologyCohortSurgeryPercutaneous coronary intervention

Abstract

fetched live from OpenAlex

Abstract Background Low-dose colchicine reduces the risk of cardiovascular events in patients with chronic coronary artery disease (CAD), but the absolute benefit may vary between patients. Individual benefit from preventive therapies can be estimated using the guideline-recommended SMART-REACH model. Purpose This study aimed to assess the range of individual absolute 10-year and lifetime benefit from low-dose colchicine according to patient risk profile. Methods The SMART-REACH model was combined with the relative treatment effect of low-dose colchicine, and applied to all participants from the LoDoCo2 trial (n=5,522), and patients with chronic CAD from the UCC-SMART cohort (n=5,308). Individual treatment benefit was expressed as (i) 10-year absolute risk reductions (ARRs) for myocardial infarction, ischemic stroke, or cardiovascular death (MACE), and (ii) life-years gained free of MACE. Predictions were also performed for MACE plus ischemia-driven coronary revascularization (MACE+), through development of a new competing risk-adjusted lifetime prediction model in data from the REACH registry (n=14,522). Low-dose colchicine was compared to alternative intensive prevention goals, i.e. low density lipoprotein-cholesterol (LDL-c) reduction to <1.4 mmol/L, and systolic blood pressure (SBP) reduction to <130 mmHg. Results Median individual 10-year ARR for MACE from low-dose colchicine therapy was 4.6% (interquartile range [IQR] 3.6–6.0%), and median gain in life expectancy free of MACE was 2.0 (IQR 1.6–2.5) years. Median 10-year ARR for MACE+ was 8.6% (IQR 7.6–9.8%), and median gain in MACE+-free life expectancy was 3.4 (IQR 2.6–4.2) years. For intensified LDL-c and SBP reduction respectively, median 10-year ARRs were 3.0% (IQR 1.5–5.1%) and 1.7% (IQR 0.0–5.7%) for MACE, and 5.2% (IQR 2.5–8.7%) and 2.9% (IQR 0.0–9.5%) for MACE+. Median life-years gained from LDL-c and SBP reduction were 1.2 (IQR 0.6–2.1) and 0.7 (IQR 0.0–2.3) years free of MACE, and 1.8 (IQR 0.8–3.3) and 0.9 (IQR 0.0–3.4) years free of MACE+. Conclusion The individual absolute benefit from low-dose colchicine varies between patients. In an era where lipid- and blood pressure-lowering therapies are already routinely used, the benefits of low-dose colchicine are expected to be of at least similar magnitude to those of intensified LDL-c and SBP reduction in patients with chronic CAD. Funding Acknowledgement Type of funding sources: None.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.017
GPT teacher head0.221
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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