Evidence map›Paper›PMID 41053126›Full record

SynthesisScientific reports2025

Factors associated with post-stroke readmission: a systematic review and meta analysis.

Eddah Mauti, Niyousha Hosseinichimeh, Vida Abedi, Ramin Zand, Shouhao Zhou, Zizhong Tian

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. 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

6 authors.

Eddah MautiDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA. eddah@vt.edu.
Niyousha HosseinichimehDepartment of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA.
Vida AbediDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Ramin ZandDepartment of Neurology, Penn State Neuroscience Institute, Hershey, PA, USA.
Shouhao ZhouDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Zizhong TianDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Readmissions following strokes are a significant concern due to their association with adverse outcomes. The Centers for Medicare and Medicaid Services regard hospital readmissions as a measure of suboptimal hospital care and have made reducing readmission rates a national healthcare reform goal. This systematic review and meta-analysis aimed to identify factors associated with 30-day, 90-day, and 1-year ischemic stroke readmissions. We reviewed the databases PubMed and Web of Science for English-language studies on stroke readmissions published between January 1, 2000, and February 5, 2024. A total of 135 studies from 18 countries met the inclusion criteria. Higher 30-day readmissions were linked to advanced age, insurance type, employment status, socioeconomic disadvantage, discharge destination, and conditions such as heart failure and diabetes. Reduced 30-day readmissions were associated with effective discharge planning, post-primary care visits, and thrombolytic therapy administration. Weekend admissions and the COVID-19 period were not significant contributing factors. Our meta-analysis on 30-day readmissions in the U.S. found increased odds with atrial fibrillation (OR, 1.24 [95% CI, 1.12-1.36]), and cancer (OR, 1.50 [95% CI, 1.19-1.89]), while discharge to home (OR, 0.75 [95% CI, 0.55-1.02]) and private insurance (OR, 0.70 [95% CI, 0.66-0.75]) decreased the odds. Advanced age, comorbidities, and discharge planning impacted 90-day readmissions, while 1-year readmissions were influenced by advanced age, discharge location, functional independence, and diseases including diabetes and coronary artery disease. The study highlights the importance of hospital discharge procedures and follow-up care as modifiable factors for mitigating the risk of readmission in stroke patients. Prioritization in care transition enhancements and proper discharge planning for at-risk patients could help improve stroke readmission rates.

Indexed as

Patient ReadmissionStrokeHumansPatient DischargeRisk FactorsUnited States

Identifiers

PMID41053126
PMCPMC12501368

What OpenQuestion holds

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Registered trials

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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.