Evidence map›Paper›PMID 40777900›Full record

ReviewIranian journal of public health2025

Infection as a Key Determinant of Readmission in Stroke Patients: A Systematic Review and Meta-Analysis.

Abbas Heydari, Amir Mirhaghi, Kavian Ghandehari, Mohammad Rajabpour

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2025. 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

4 authors.

Abbas HeydariDepartment of Medical Surgical Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Amir MirhaghiDepartment of Medical Emergencies, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.
Kavian GhandehariDepartment of Neurology, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad RajabpourDepartment of Nursing, School of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurately identifying the relationship between infection and the readmission of stroke patients leads to emphasis more the corresponding strategies. We aimed to determine the relationship between infection and readmission in stroke patients. Methods: This systematic review and meta-analysis was based on PRISMA 2020 guidelines. A comprehensive search was performed across multiple databases, including PubMed, Web of Science, CINAHL, Scopus, and Google Scholar, using keywords such as "stroke," "readmission," "recurrence," "re-hospitalization," and "infection" up to 2024. The rate of readmissions due to infection, along with the Odds Ratio (OR) for infection, was calculated using a random effects model via Comprehensive Meta-Analysis V.2 software. Results: Based on the reviewed studies, the 30-day readmission rate of stroke patients due to infection ranged from 6.5% to 30.0% and the one-year readmission rate ranged from 5.1% to 24.5%. Also, infection is an important risk factor in the readmission of stroke patients based on cohort studies (RR 1.38, 95% CI: 1.16-1.65, Conclusion: The readmission rate of stroke due to infection is high and tackling infection-related readmissions in stroke patients necessitates a holistic strategy that combines clinical care, technological advancements, and education. More studies are needed in this field.

Indexed as

Cerebrovascular accidentInfectionReadmissionRisk factorsStroke

Identifiers

PMID40777900
PMCPMC12325853

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.