Evidence map›Paper›PMID 40520608›Full record

ArticleFrontiers in neurology2025

A nomogram model for prognosis of acute ischemic stroke treated with recombinant tissue-type plasminogen activator.

Song Bai, Yan Liu, Chenggang Zhang, Yuan Ren

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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
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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.

Song Bai *Department of Neurosurgery, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China.
Yan Liu *Department of Neurology, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China.
Chenggang Zhang *Department of Neurology, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China.
Yuan RenDepartment of Neurology, The First People's Hospital of Chuzhou, Chuzhou, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The primary objective of this study was to systematically assess the prognostic utility of neutrophil-derived inflammatory indices-specifically the neutrophil-to-lymphocyte ratio (NLR) and systemic inflammation response index (SIRI)-and subsequently develop a predictive model for thrombolysis outcomes through the integration of these hematological biomarkers with clinical parameters, including acute-phase neurological severity (as quantified by baseline National Institutes of Health Stroke Scale [NIHSS] scores) and therapeutic timeliness (door-to-needle time, DNT) in acute ischemic stroke patients receiving recombinant tissue plasminogen activator (rt-PA) therapy. Methods: This retrospective cohort study analyzed consecutive patients with AIS who received intravenous thrombolysis with rt-PA at the First People's Hospital of Chuzhou in Anhui Province, China, between January 2021 and July 2023. Peripheral blood samples were collected within 24 h of admission to evaluate the NLR and SIRI. Univariate and multivariate logistic regression models were employed to assess the associations of NLR, SIRI, NIHSS score at admission, and DNT with short-term prognosis after intravenous thrombolysis for acute cerebral infarction. Receiver operating characteristic (ROC) curve analysis was conducted to assess the predictive capacity of the NLR, SIRI, NIHSS scores, DNT for clinical outcomes in AIS patients. Results: A total of 232 AIS patients treated with rt-PA IVT completed the 3-month follow-up. Multivariate logistic regression confirmed NIHSS score, DNT time, NLR, and SIRI as independently associated with worse prognosis (all Conclusion: This study affirms that specific inflammatory markers like NLR and SIRI, alongside initial stroke severity and treatment timeliness, emerge as significant prognosis predictors in thrombolysis-treated stroke patients. By amalgamating these biomarkers, the proposed nomogram empowers clinicians to foresee and manage patient outcomes more effectively.

Indexed as

acute ischemic strokeneutrophil inflammatory indexnomogram modelprognosisthrombolysis

Identifiers

PMID40520608
PMCPMC12164161

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