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Record W2127645825 · doi:10.1161/01.str.31.7.1588

International Trends in Mortality From Stroke, 1968 to 1994

2000· article· en· W2127645825 on OpenAlexaboutno aff
Cinzia Sarti, Daiva Rastenytė, Žygimantas Čepaitis, Jaakko Tuomilehto

Bibliographic record

VenueStroke · 2000
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: The World Health Organization data bank is an invaluable source of information for international comparison of mortality trends. We present rates and trends in mortality from stroke up to 1994, with a particular emphasis on the last 10-year period. Data are presented for men and women in 51 industrialized and developing countries from different parts of the world. METHODS: We included all deaths from cerebrovascular disease for the population aged 35 to 84 years from all the countries in which death certificates were estimated to be available for at least 80% for the period from 1968 to 1994. Age-standardized mortality rates from stroke were calculated for each country for the last available 5 years. Time trends were calculated by using ordinary linear regression and are presented for the entire study period and for 3 separate time periods: 1968 to 1974, 1975 to 1984, and 1985 to 1994. The last 10-year period was further subdivided into 2 parts of 5 years each. We analyzed data separately for men and women and for groups aged 35 to 74 years and 75 to 84 years. RESULTS: The highest rates at the end of the study period for the population aged 35 to 74 years were observed in eastern Europe and previous Soviet Union countries (309 to 156/100 000 per year among men and 222 to 101/100 000 per year among women), Mauritius (268/100 000 per year among men and 138/100 000 per year among women), and Trinidad and Tobago (185/100 000 per year among men and 134/100 000 per year among women). Relatively low to average rates (<100/100 000 per year among men and <70/100 000 per year among women) were reported for Western Europe, with an exception of Portugal (162/100 000 per year among men and 95/100 000 per year among women). The countries with lowest stroke mortality rates at the end of the study period, such as the United States, Canada, Switzerland, France, and Australia, experienced steep declining trends. However, the slope of the decline was substantially reduced during the last 5 years in these countries. Mortality from stroke increased most in the eastern European countries, especially during the last 5 years. Among other high-risk populations, no change in stroke mortality trends was observed in Mauritius, whereas somewhat declining trends were seen in Trinidad and Tobago. CONCLUSIONS: We observed large differences in mortality rates from stroke around the world together with a wide variation in mortality trends. A widening gap was observed between 2 groups of nations, those with low and declining stroke mortality rates and those with high and increasing mortality, in particular, between western and eastern Europe. Eastern European countries should initiate actions aiming at the reduction of stroke risk, perhaps by looking at the examples of Japan and Finland and the other countries that have been the most successful in reducing previously very high mortality from stroke.

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)0.000
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 score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.303
Teacher spread0.283 · 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

Citations449
Published2000
Admission routes1
Has abstractyes

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