MétaCan
Menu
Back to cohort

Abstract P396: Thirty Years of Cardiovascular Mortality in Quebec, is the Decline Slowing in the Younger Population?

2012· article· en· W4238402591 on OpenAlexaffabout
Claudia Blais, Denis Hamel

Bibliographic record

VenueCirculation · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsInstitut National de Santé Publique du Québec
Fundersnot available
KeywordsMedicineStroke (engine)DemographyPopulationMortality rateCoronary heart diseaseBlood pressureGerontologyCardiologyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Background: It has been demonstrated in many countries that cardiovascular mortality has decreased over recent decades and the decline was accelerating for people aged 35 years and older and slowing in the younger population. Coronary heart disease (CHD) and stroke were the major causes responsible of this decline. We hypothesized that this fall and deceleration of the decline has occurred also in Quebec, Canada and looked if other diseases, such as heart failure (HF) and high blood pressure (HBP) presented a similar decline. Methods: Age-adjusted and specific mortality rates were obtained with the Quebec registry of death for each year of 1978–2007 period for all cardiovascular diseases and divided into CHD, stroke, HF and HBP for people aged ≥35 years and for each 10 year-age groups respectively. Joinpoint regressions on these mortality rates were used to estimate the annual percentage change (APC) and to detect points in time at which significant changes in the trends occurred. Several methods of forecasting were compared to predict age-adjusted mortality rates for the next decade (2008–2017). Results: There were 542,712 cardiovascular deaths. All CHD age-adjusted mortality rates for both sexes combined declined with a marked acceleration in 1997 (APC 1978–1997 and 1997–2007 of −3.05 and −5.99 respectively) while stroke presented with a lower decline between years 1988 and 1997 and reaccelerated thereafter (APC 1978–1988: −4.72, 1988–1997: −2.22 and 1997–2007: −5.39). HF presented an increase between years 1978 and 1981 (APC: 6.28) followed by a decline (APC 1981–2007: −3.58). Death due to HBP in the same group showed a deceleration of the decline in 1992 (APC 1978–1992: −7.46 and APC 1992–2007: −1.97). In the group aged 35–44 years, when both sexes were combined, only HF presented an increase in the mortality rate (APC 1978–1992: −7.76 and 1992–2007: 4.97). CHD and stroke presented constant declines for this age group (APC 1978-2007: −5.17 and −4.73, respectively) while HBP had no mortality at all. CHD mortality for all ages is projected to decrease to an adjusted rate of 100 per 100,000 person-year in 2017 (−38% from 2007). Conclusions: Death due to HBP was the only cause responsible of a slowing of the decline in people aged 35 years and older. However, when looking at the younger population, HF is presenting not only a slowing of the decline but, more importantly, an increase in the mortality rate. The forecasting of cardiovascular deaths seems to get a constant decline for the principal cause, CHD.

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 score0.013
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.033
GPT teacher head0.307
Teacher spread0.274 · 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
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueCirculationSame topicCardiovascular Health and Risk FactorsFrench-language works237,207