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Record W4224324702 · doi:10.3329/medtoday.v34i1.58671

Stroke and Coronary Heart Diseases, Global and Asian Trend and Risk Factors -A Perspective

2022· article· en· W4224324702 on OpenAlexaboutno aff
Sk Mamun Ar Rashid, SK Moazzem Hossain

Bibliographic record

VenueMedicine Today · 2022
Typearticle
Languageen
FieldHealth Professions
TopicDiverse Scientific Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)Cause of deathObservational studyCoronary heart diseaseDiseaseEpidemiologyMortality rateDemographyInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Cardiovascular disease (CVD) is the leading cause of death in the world, accounting for 30% of deaths globally. CVD is a group of conditions affecting the functions of the heart, blood vessels or both. The major cardiovascular diseases include coronary heart disease (CHD), stroke, hypertension, heart failure and peripheral vascular diseases. Distribution of CHD and stroke is different in different regions of the world, especially western high-income, Asian and other countries. The Asian prevalence also not homogenous. Estimated number of deaths due to CVD worldwide will projected to 23.4 million, comprising 35% of all deaths in 2030. Significant increase in prevalence of coronary heart diseases (CHD) have been observed in the Asia including Bangladesh, but stroke in some regions of the world. Objectives: (1) Identification of cases and risk factors in different geographical area (2) Reduction of morbidity and mortality by proper treatment and management of modifiable risk factors. Materials and Methods: This observational study was done through using evidence from the published study articles of CVD in national and international journals, electronic databases such as MEDLINE, EMBESE and PUBMED. We also manually checked references of relevant publications of stroke and CHD. Study period: Jan2019-Dec2019. Results: Approximately 940 million people in the high income countries, where CHD is the dominant form of CVD which is 2–5 times higher than stroke. In the USA, Canada, Australia, New Zealand, Italy, France and Spain CVD death rates are very low. The highest death CHD rate is in Finland, Ireland, Scotland, Norway, Sweden of the European countries. In Eastern Europe and most of the Asia, the rate of coronary arterial diseases are rapidly increasing. Japan the Asian high income country the death ratio of stroke and CHD is 3:1.The East Asia and the pacific including China CVD is the major cause of death, where stroke dominating. People in South Asia including India and Bangladesh the coronary diseases are increasing alarmingly, where CVD death increase 30%over the preceding decade and the dominant form is CHD. In the central Asia, specially Uzbekistan, Kazakhstan, Tajikistan both CHD and stroke are very high. In Latin America death from CHD (35%) higher than stroke (29%). In the Middle East and North Africa, CHD responsible for 17% and stroke 7%of all death. Conclusion: Asian countries have disproportionately high morbidity and mortality from stroke with increasing tendency to CHD, but CHD in Western countries which may be due to complex interaction of genetic and environmental factors, smoking, hypertension and metabolic abnormalities. Death rate is higher in male sex from both CHD and stroke worldwide. Medicine Today 2022 Vol.34(1): 27-35

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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.009
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.413
Teacher spread0.368 · 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 designNot applicable
Domainnot available
GenreCommentary

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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Citations4
Published2022
Admission routes1
Has abstractyes

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