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Record W4411884071 · doi:10.3899/jrheum.2025-0314.13

Increased Cardiovascular Events in Paget’s Disease of Bone, a Study from the CARTaGENE Cohort

2025· article· en· W4411884071 on OpenAlexaffvenueabout
Catherine M. Champagne, Aurélie Dufour, Clément Vachey, Suzanne N. Morin, Mohsen Agharazii, Fabrice Mac‐Way, Laëtitia Michou

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsMcGill UniversityUniversité LavalCentre hospitalier de l'Université Laval
Fundersnot available
KeywordsMedicineArterial stiffnessInternal medicineCohortProportional hazards modelPaget's disease of bonePopulationCardiologyMyocardial infarctionAsymptomaticHazard ratioDiabetes mellitusCoronary artery diseaseCohort studyDiseaseSurgeryBlood pressureConfidence intervalEndocrinology

Abstract

fetched live from OpenAlex

Objectives Paget’s disease of bone is a focal late-onset chronic disorder of bone remodeling, characterized by bone resorption followed by compensatory bone formation. This disease is most often asymptomatic, but an increase in cardiovascular events has been observed over time in this population. We aimed to evaluate the association between Paget’s disease and the risk of cardiovascular events (CVE) within the CARTaGENE cohort. We also determined the association between arterial stiffness parameters and the risk of CVE, and the association between Paget’s disease and arterial stiffness. Methods We used data collected from the CARTaGENE cohort, a population cohort including nearly 20,000 men and women aged between 40 and 69 years, recruited in 2009/2010 in the province of Quebec, and followed for 10 years, for the study of chronic diseases. We evaluated the risk of CVE (ie, myocardial infarction, stroke, coronary heart disease, coronary revascularization, heart failure, peripheral arterial disease, cardiovascular mortality) during follow-up associated with Paget’s disease with Cox proportional hazard models and Kaplan-Meier survival curves. All estimates were adjusted for sex, diabetes, hypertension, and smoking. We evaluated the association between Paget’s disease and arterial stiffness, measured by central augmentation index, with linear regression models. Lastly, in pagetic participants, we evaluated the association between arterial stiffness and the risk of CVE at follow-up with Cox regression. A p-value <0.05 was considered significant. These analyzes were carried out by SAS 9.4. Results Among 19 990 participants, we identified 101 (0.5%) patients with Paget’s disease (mean age 48 ± 8 years, 46% of women), diagnosed from 1991 to 2021. Paget’s disease was associated with an increased risk of CVE during follow-up [95% confidence interval (CI) HR 1.48 (1,05-2,09) p<0.0028] (Figure 1). No significant association was found between arterial stiffness in Paget’s disease and a cardiovascular event [95% confidence interval (CI) HR 2.90 (0.007- 1275.92)]. Lastly, no association was found between Paget’s disease and arterial stiffness (R2 = 0.22, β = 0.0034, p = 0.75). Figure 1: Survival curve of cardiovascular events from birth according to Paget’s disease status during life. Conclusion Paget’s disease is associated with an increased risk of CVE. However, arterial stiffness, as measured by the central augmentation index, is not associated with this increased risk and Paget’s disease is not associated with arterial stiffness in our cohort.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.491
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.012
GPT teacher head0.279
Teacher spread0.267 · 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".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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