Evidence map›Paper›PMID 41120808›Full record

ArticleJournal of the American Heart Association2025

Discharge Neurological Deficit as a Predictor of Early Stroke Recurrence: A Nationwide Registry-Based Propensity-Matched Study.

Yuna Kim, Hye Seon Jeong, Sung Ryul Shim, Jung Keun Hyun

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 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

4 authors.

Yuna KimDepartment of Rehabilitation Medicine, College of Medicine Dankook University Cheonan Republic of Korea.ORCID 0000-0001-9657-2406
Hye Seon JeongDepartment of Neurology Chungnam National University Hospital and Regional Cardio-cerebrovascular Center Daejeon Republic of Korea.
Sung Ryul ShimDepartment of Biomedical Informatics, College of Medicine Konyang University Daejeon Republic of Korea.ORCID 0000-0003-4143-7383
Jung Keun HyunDepartment of Rehabilitation Medicine, College of Medicine Dankook University Cheonan Republic of Korea.ORCID 0000-0001-9254-4424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly stroke recurrence is a significant risk for survivors of ischemic stroke. Although admission severity is commonly used in prognosis, the predictive value of residual neurological deficits at discharge remains underexplored. We aimed to determine whether discharge National Institutes of Health Stroke Scale (NIHSS) score predicts 1-year ischemic stroke recurrence, using a large multicenter registry and propensity score matching.

methodsWe analyzed 39 947 patients with first-ever ischemic stroke from the KRS (Korean Registry of Regional Cardiocerebrovascular Center for Stroke) (2014-2022). NIHSS scores were recorded at admission (baseline) and at discharge. Patients were dichotomized by discharge NIHSS score (<5 versus ≥5); supplementary cutoffs of 16 and 21 were explored. Propensity score matching (1:1 nearest neighbor) was used to adjust baseline covariates. The primary outcome was stroke recurrence within 1 year, defined as a new neurological deficit confirmed by imaging. Kaplan-Meier survival and Cox regression were used to evaluate predictors.

resultsAfter propensity score matching, discharge NIHSS score was a significant predictor of recurrence (hazard ratio per point, 1.03 [95% CI, 1.00-1.05];

conclusionsDischarge NIHSS score significantly reflects risk of early recurrence compared with initial stroke severity. These findings support incorporating discharge neurological status into poststroke risk stratification and follow-up planning.

Indexed as

Ischemic StrokePatient DischargeAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisPropensity ScoreRecurrenceRegistriesRetrospective StudiesRisk AssessmentRisk Factorsischemic strokemodified Rankin ScaleNational Institutes of Health Stroke Scalepropensity score matchingrisk factorsstroke recurrence

Identifiers

PMID41120808
PMCPMC12684592

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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.