Evidence map›Paper›PMID 38549734›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2024

Mortality outcomes in 35,433 patients admitted for acute haemorrhagic stroke in Australia: A population-linkage study.

Arielle Chin-Yu Hsu, Vijayatubini Vijayarajan, Yeu-Yao Cheng, Matthew Wei Shun Shu, Karice Hyun, Vincent Chow, David Brieger, Leonard Kritharides, Austin Chin Chwan Ng

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2024. 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
0.4field-weighted citation impact, top 40% of its field
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 citations in OpenAlex.

  1. Review
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

9 authors at 1 institution in 1 country.

Arielle Chin-Yu HsuDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
Vijayatubini VijayarajanDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
Yeu-Yao ChengDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
Matthew Wei Shun ShuDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
Karice HyunDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
Vincent ChowDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
David BriegerDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
Leonard KritharidesDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
Austin Chin Chwan NgDepartment of Cardiology, Concord Hospital, The University of Sydney, 1 Hospital Road, Concord, 2139, NSW, Australia.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Haemorrhagic stroke (HS) is an important cardiovascular cause of mortality worldwide. Trends in admission rates and outcomes, and predictors of outcomes, post-HS in Australia remain unclear. Methods: All New South Wales residents, Australia, hospitalized with HS from 2002 to 2017 were identified from the Admitted-Patient-Data-Collection database. Admission rates were adjusted to population size by sex, age-groups and calendar-year. Mortality was tracked from the death registry to 31-Dec-2018 and adjusted for admission calendar-year, age, gender, referral source, surgical evacuation following HS and comorbidities. Results: The cohort comprised 35,433 patients (51.1% males). Overall age-adjusted mean(±SD) admission rates were higher for males (63.6 ± 6.2 vs 49.9 ± 4.4 admissions-per-100,000-persons-per-annum). Annual admission rates declined for both sexes from 2002 to 2017 especially in those ≥60yo. In-hospital and 1-year mortality rates were higher for females than males (25.0% vs 20.0% and 40.6% vs 35.9% respectively, all p < 0.001). Adjusted in-hospital and 1-year mortality declined for men and women, overall decreasing by 45% (odds ratio 0.55, 95% confidence interval [CI] = 0.47-0.64), and 31% (hazard ratio 0.69,95%CI = 0.63-0.76) respectively between 2002 and 2017. Independent predictors of increased in-hospital and 1-year mortality included increasing age and Charlson comorbidity index, while male sex, a history of hyperlipidaemia and current smoking, and surgical evacuation following HS were associated with reduced mortality (all p < 0.001). Conclusion: HS incidence increases markedly with age. Although age-adjusted HS admission rates and post HS mortality have fallen, HS remains associated with high early and 1-year mortality, with females consistently associated with worse outcomes. Strategies to improve outcomes of these patients remain a clinical priority.

Identifiers

PMID38549734
PMCPMC10972823
OpenAlexW4393062930

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.