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Cardiovascular disease risk in males and females with new onset diabetes: a population-based study in universal health care setting

2022· article· en· W4306319957 on OpenAlexaffabout
Padma Kaul, Luan Manh Chu, Douglas C. Dover, Dean T. Eurich, Roseanne O. Yeung, Peter Senior, Sonia Butalia

Bibliographic record

VenueEuropean Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsCanadian VIGOUR CentreAlberta Health ServicesUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsMedicineDiabetes mellitusComorbidityPopulationInternal medicineProportional hazards modelAtrial fibrillationCohortPediatricsDemographyEnvironmental healthEndocrinology

Abstract

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Abstract Background The evidence on whether long-term cardiovascular disease (CVD) outcomes differ among males and females with incident diabetes remains equivocal. Objective To examine sex-differences in the association between incident diabetes and 5-year risk of CVD and mortality at the population-level. Methods The study population consisted of an inception cohort of individuals between 40 and 80 years without diabetes or CVD on April 1, 2013 in the province of Alberta, Canada (N=1,315,885). Incident diabetes during a 3-year period was used to categorize males and females by diabetes status as of March 31, 2016. Primary outcome of interest was a combination of CVD hospitalization (defined as a hospitalization with a primary diagnosis of heart failure, acute coronary syndromes, cerebrovascular disorders, atrial fibrillation and flutter, ventricular arrhythmia, or sudden cardiac death) or all-cause mortality over a 5-year period until March 31, 2021. Inverse probability of treatment weighting (IPTW) was used to reduce the impact of confounders between individuals with and without diabetes. Kaplan-Meier curves were used to examine unadjusted outcomes and Cox-proportional hazards models were used to examine the impact of diabetes on outcomes in males and females after adjusting for the following: age, hypertension, material deprivation, urban/rural residence, and comorbidity burden. Results Among 672,881 females and 643,004 males, 27,082 (4.0%) and 33,054 (5.1%) developed incident diabetes, respectively. Regardless of sex, individuals with diabetes were older and had higher rates of hypertension and other comorbidities. Overall, CVD hospitalization/mortality rates per 1000 person years were 7.5% (95% confidence interval (CI): 7.4–7.6) among females compared to 11.7% (95% CI: 11.6–11.8) among males. When stratified by diabetes status, the rates of the combined endpoint were 7.2% (95% CI: 7.1–7.3) among females with no diabetes (F w/o DM), 11.2% (95% CI: 11.1–11.3) among males with no diabetes (M w/o DM), 14.7% (95% CI: 14.0–15.3) among females with diabetes (F with DM) and 20.9% (95% CI: 20.1–21.6) among males with diabetes (M with DM, Figure 1). The adjusted hazard ratio (aHR) associated with diabetes on outcomes was similar among males (aHR 1.38 95% confidence interval (CI): 1.36–1.41) and females (aHR 1.39 95% CI: 1.36–1.42). Conclusions The presence of diabetes weakens the possible cardio-protection of female sex with respect to CVD outcomes. Future work aims to assess CVD prevention, management and treatment among males with females with incident diabetes. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Canadian Institutes of Health Research (CIHR) Sex and Gender Science Chair

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)0.001
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 score0.448
Threshold uncertainty score0.891

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.260
Teacher spread0.238 · 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
Published2022
Admission routes2
Has abstractyes

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