Evidence map›Paper›PMID 41444303›Full record

ArticleScientific reports2025

NIHSS mismatch as a predictor of early neurological improvement after mechanical thrombectomy.

Laura Amaya-Pascasio, Miriam Fernández-Gómez, María Del Mar Martínez-Salmerón, Eva Guevara-Sánchez, Marisa Luisa Ruiz-Franco, Carlos Hidalgo-Barranco, Cristina Del Toro-Pérez, Diana Vidal de Francisco, Antonio José Rodríguez-Sánchez, José García-Pinteño and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 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

12 authors.

Laura Amaya-Pascasio *Stroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
Miriam Fernández-Gómez *Division of Interventional Neuroradiology, Torrecárdenas University Hospital, Almería, Spain.
María Del Mar Martínez-Salmerón *Stroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
Eva Guevara-SánchezStroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
Marisa Luisa Ruiz-FrancoStroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
Carlos Hidalgo-BarrancoDivision of Interventional Neuroradiology, Torrecárdenas University Hospital, Almería, Spain.
Cristina Del Toro-PérezStroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
Diana Vidal de FranciscoStroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
Antonio José Rodríguez-SánchezStroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
José García-PinteñoStroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
Antonio Arjona-PadilloStroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain.
Patricia Martínez-SánchezStroke Centre, Department of Neurology, Torrecárdenas University Hospital, Almería, Spain. patrinda@ual.es.ORCID 0000-0003-1945-4435

Funding

This work is part of the Spanish Health Outcomes-Oriented Cooperative Research Networks (RICORS-ICTUS), Instituto de Salud Carlos III (Carlos III Health Institute), Ministerio de Ciencia e Innovación (Ministry of Science and Innovation), RD241/0009/0030 (Torrecardenas University Hospital). Funded by the European Union - NextGenerationEU. Recovery, Transformation, and Resilience Plan. RD241/0009/0030
6 · The paper itself

Abstract

The selection of acute ischemic stroke (AIS) patients for mechanical thrombectomy (MT) is based on the clinical-radiological mismatch, where the NIHSS is higher than expected based on the ASPECT score. Our objective was to estimate the mismatch (NIHSSmismatch%) between the expected NIHSS (NIHSSexpected) and the actual NIHSS (NIHSSactual) on admission, and to study its prognostic value for early neurological improvement (ENI, defined as a reduction of NIHSS of ≥ 8 points or reaching 0/1 at 24 h) in AIS patients with large vessel occlusion (LVO) of the anterior circulation treated with MT. A cross-sectional study was conducted on AIS related to anterior territory LVO (2017–2022) at a Stroke Center. Using multivariate linear regression models in the derivation cohort, a formula for calculating the NIHSSexpected on admission was developed, and the NIHSSmismatch% between NIHSSactual and NIHSSexpected was measured. Multivariate analyses were performed to identify if NIHSSmismatch% levels predicted ENI. In the derivation cohort (n = 123), the following formula was developed: NIHSSexpected = 10.8 + 0.05 x Age + 2.5 x DM + 2.6 x Hemisphere – 1.5 x ASPECTSadmission. In the validation cohort (n = 185), 64 (34.6%) patients experienced ENI. The ROC curve identified 75% of NIHSSmismatch% as the optimal cutoff for predicting ENI (80% sensitivity and 58% specificity). Multivariate analyses showed that both NIHSSmismatch% and NIHSSmismatch% >75 were predictors of ENI (OR 1.062; 95% CI 1.033–1.092 and OR 5.687; 95% CI 2.562–12.623, respectively), adjusted for potential confounders. NIHSSmismatch% could be a predictor of ENI in AIS patients treated with MT.

Indexed as

Ischemic StrokeStrokeThrombectomyAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrognosisSeverity of Illness IndexTreatment Outcome

Identifiers

PMID41444303
PMCPMC12738758

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.