Evidence map›Paper›PMID 42137828›Full record

ArticleNarra J2026

Predicting early in-hospital mortality in acute hemorrhagic stroke: Implications for improving stroke care and health outcomes in low-income settings.

Shefina P Harnold, Syahrul Syahrul, Imran Imran, Nasrul Musadir, Muhammad Yani

Abstract read
In one paragraph

Article in Narra J, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Shefina P HarnoldDepartement of Neurology, Faculty of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Syahrul SyahrulDepartement of Neurology, Faculty of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Imran ImranDepartement of Neurology, Faculty of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Nasrul MusadirDepartement of Neurology, Faculty of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Muhammad YaniDepartement of Family Medicine, Faculty of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is a leading cause of death and disability worldwide, and mortality in acute intracerebral hemorrhagic (ICH) stroke is influenced by many factors, and early identification of high-risk patients is crucial for guiding clinical management. This study aimed to evaluate the role of blood pressure, blood glucose level, and Glasgow coma scale (GCS) on admission as predictors of 10-day in-hospital mortality and to develop a predictive scoring system in patients with acute ICH stroke. A cross-sectional study was conducted at Dr. Zainoel Abidin Hospital, a provincial referral hospital in Banda Aceh, Indonesia, in 2025. Patients with acute ICH were consecutively recruited. Clinical parameters on admission, including systolic and diastolic blood pressure, random blood glucose level, and GCS, were recorded. Associations with 10-day mortality were assessed with a Chi-squared test, and a predictive scoring system was developed based on independent predictors. A total of 62 patients were included in this study. Higher systolic blood pressure (≥140 mmHg), diastolic blood pressure (≥90 mmHg) and GCS <9 on admission were significantly associated with 10-day mortality (

Indexed as

Hemorrhagic StrokeHospital MortalityStrokeAgedBlood GlucoseBlood PressureCross-Sectional StudiesFemaleGlasgow Coma ScaleHumansIndonesiaMaleMiddle AgedPovertyPrognosisRisk FactorsBlood GlucoseAcute intracerebral hemorrhagicblood pressureGlasgow coma scalemortalityrandom blood glucose level

Identifiers

PMID42137828
PMCPMC13170900

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.