Evidence mapPaperPMID 40863370Full record

ArticleJournal of cardiovascular development and disease2025

Sex Differences in Stroke Risk Factors and Mechanisms in a Multi-Ethnic Asian Population.

Narayanaswamy Venketasubramanian

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Narayanaswamy VenketasubramanianRaffles Neuroscience Centre, Raffles Hospital, Singapore 188770, Singapore.ORCID 0000-0003-3593-6362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevious studies have reported sex differences in stroke. There are few Asian studies. This study was performed to investigate sex differences in stroke risk factors and mechanisms in a multi-ethnic Asian population.

methodsData on patients admitted to Raffles Hospital for stroke were analysed. Data were extracted on sex, age, hypertension, diabetes mellitus (DM), hyperlipidaemia, smoking, heart disease, and prior cerebrovascular events (pCeVD). Stroke was subtyped into haemorrhagic stroke (HS) or ischaemic stroke (IS) based on brain scan. IS mechanism was categorised using Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification, while the clinical syndrome by Oxfordshire Community Stroke Project (OCSP) classification.

resultsData were collected on 1165 patients, mean age 65.6 ± 12.9 yr; 47.4% female, 83.0% Chinese, with hypertension (63.5%) and hyperlipidaemia (60.3%) being the most common risk factors. HS comprised 23.5%. On regression analysis, compared to males, females had older age (OR 1.03, 95%CI 1.02-10.4) and DM (OR 1.60, 95%CI 1.11-2.30), but less smoking (OR 0.09, 95%CI 0.07-0.13), pCeVD (OR 0.67, 95%CI 0.49-0.93), and HS (OR 0.71, 95%CI 0.51-0.98). There were no differences in HS mechanisms, or IS mechanisms or syndromes. Sex-ethnic differences were found (

conclusionsThis study corroborates previous studies of significantly older age and more diabetes mellitus, but less smoking and haemorrhagic stroke among female stroke patients compared to males; differences in HS and IS mechanisms were not found. Novel in this study is that sex-ethnicity differences were found. Future studies should prospectively validate these sex/ethnic differences.

Indexed as

Asian populationdifferenceshaemorrhagic strokeischaemic strokerisk factorssexstrokesubarachnoid haemorrhage

Identifiers

PMID40863370
PMCPMC12386609

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.