Evidence map›Paper›PMID 40538655›Full record

ArticleFrontiers in neurology2025

The glucose-to-potassium ratio: a predictor of poor functional outcomes in stroke patients receiving thrombolytic therapy.

Dong Zhang, Ruinan Ma, Xiaoyan Qin, Zhizhang Li, Xiaoguang Zhang, Ying Ding, Yunqi Hu, Yunhua Yue

Abstract read
In one paragraph

Article in Frontiers in neurology, 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

8 authors.

Dong Zhang *Department of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Ruinan Ma *Department of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiaoyan Qin *Department of Geriatrics, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhizhang LiDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiaoguang ZhangDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Ying DingDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Yunqi HuDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Yunhua YueDepartment of Neurology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The glucose-to-potassium ratio has shown promise as a biomarker in neurological disorders, but its prognostic value in acute ischemic stroke (AIS) after intravenous thrombolysis (IVT) continues to be uncertain. The study explores the relationship between admission GPR and 90-day functional outcomes in AIS patients undergoing IVT treatment. Methods: A retrospective analysis included 649 AIS patients undergoing IVT between May 2016 and December 2023. Baseline clinical, laboratory, and imaging data were analyzed. GPR was calculated from serum glucose and potassium levels at admission. A modified Rankin Scale score of 3 to 6 at 90 days was used to define poor functional outcomes. Logistic regression and restricted cubic splines assessed the GPR-outcome relationship, adjusting for confounders. Receiver operating characteristic (ROC) analysis evaluated GPR's predictive value. Results: Among 649 patients, 174 (26.8%) had poor outcomes. Median GPR was significantly higher in these patients (2.14 vs. 1.88, Conclusion: High GPR levels are independently linked to unfavorable 90-day functional outcomes in AIS patients who received IVT, suggesting its potential as a prognostic biomarker. Further studies are warranted to validate these findings.

Indexed as

acute ischemic strokebiomarkersfunctional outcomeGPRintravenous thrombolysis

Identifiers

PMID40538655
PMCPMC12177222

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