Evidence map›Paper›PMID 41216042›Full record

ArticleCureus2025

Epidemiological Profile and Risk Factors of Stroke in a Tertiary Care Hospital: A Cross-Sectional Study.

Nand Kishor Prasad Sah, Himani Rathi, Shipra Gangwar, Ranjit Tiwari, Dimpal Pal

Abstract read
In one paragraph

Article in Cureus, 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

5 authors.

Nand Kishor Prasad SahPhysiotherapy, Teerthanker Mahaveer University, Moradabad, IND.
Himani RathiPhysiotherapy, Teerthanker Mahaveer University, Moradabad, IND.
Shipra GangwarPhysiotherapy, Teerthanker Mahaveer University, Moradabad, IND.
Ranjit TiwariPhysiotherapy, Teerthanker Mahaveer University, Moradabad, IND.
Dimpal PalPhysiotherapy, Teerthanker Mahaveer University, Moradabad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStroke remains a most important public health apprehension in India, particularly in underserved regions. Understanding local stroke epidemiology and associated risk factors is essential for developing targeted interventions. This study aims to evaluate the distribution of stroke types, assess associated risk factors, and analyse clinical features and outcomes among stroke patients admitted to a tertiary care hospital.

methodsThis descriptive, cross-sectional study included 148 stroke patients admitted between January 2023 and December 2024. Data were collected retrospectively from medical records. Demographic information, stroke subtypes, risk factors, clinical features, and outcomes were analysed using IBM SPSS Statistics for Windows, Version 27 (Released 2020; IBM Corp., Armonk, New York). Chi-square tests, logistic regression, and descriptive statistics were applied.

resultsIntracerebral haemorrhage was the most common stroke type (85.1%), followed by epidural haemorrhage (8.8%), subdural haemorrhage (5.4%), and subarachnoid haemorrhage (0.7%). Hypertension (45.3%) and diabetes mellitus (50%) were the most prevalent risk factors; both were significantly associated with haemorrhagic stroke (p < 0.001). The mean age was 65.15 ± 7.87 years, and the average Glasgow Coma Scale (GCS) score at presentation was 9.49 ± 2.14. No significant gender-based difference in stroke subtype distribution was observed (P=0.412).

conclusionThis study concluded that there is a predominance of intracerebral haemorrhage among hospitalised stroke patients in a tertiary care setting in Moradabad, with hypertension and diabetes mellitus emerging as the most significant and common modifiable risk factors.

Indexed as

diabetes mellitushypertensionintracerebral haemorrhagerisk factorsstroke

Identifiers

PMID41216042
PMCPMC12597103

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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.