Evidence map›Paper›PMID 40353057›Full record

ArticleAging medicine (Milton (N.S.W))2025

Comparison of Clinical Scores for Predicting Stroke-Associated Pneumonia After Acute Ischemic Stroke.

Linlin Wang, Jun Xu, Xinyu Liu, Feifei Ma, Xingquan Zhao, Anxin Wang, Ruijun Ji, Yongjun Wang, CNSR III investigators

Abstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 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.

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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

9 authors.

Linlin WangDepartment of Neurology, Tiantan Hospital Capital Medical University Beijing China.ORCID https://orcid.org/0000-0001-7901-6715
Jun XuDepartment of Neurology, Tiantan Hospital Capital Medical University Beijing China.
Xinyu LiuDepartment of Neurology, Tiantan Hospital Capital Medical University Beijing China.
Feifei MaDepartment of Neurology, Tiantan Hospital Capital Medical University Beijing China.
Xingquan ZhaoDepartment of Neurology, Tiantan Hospital Capital Medical University Beijing China.
Anxin WangDepartment of Neurology, Tiantan Hospital Capital Medical University Beijing China.
Ruijun JiDepartment of Neurology, Tiantan Hospital Capital Medical University Beijing China.
Yongjun WangDepartment of Neurology, Tiantan Hospital Capital Medical University Beijing China.
CNSR III investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To compare the discrimination and calibration of six risk scoring systems in the assessment of patients with stroke-associated pneumonia (SAP) after acute ischemic stroke. Methods: The validation cohort was derived from the Third China National Stroke Registry. SAP was diagnosed according to the criteria for hospital-acquired pneumonia of the Centers for Disease Control and Prevention. The area under the receiver operating characteristic curve (AUROC) and Hosmer-Lemeshow goodness-of-fit test were used to assess discrimination and calibration. Results: A total of 12,071 patients were included in the study and 606 (5.02%) patients were diagnosed with in-hospital SAP after ischemic stroke. The AUROC of the six clinical scores ranged from 0.660 to 0.752. In the pairwise comparison, the AIS-APS score (0.752, 95% CI = 0.730-0.773, Conclusions: Our study compared the discrimination and calibration of the Kwon Pneumonia Score, A2DS2 score, PANTHERIS score, AIS-APS score, ISAN score, and PASS score in SAP identification; of these, the AIS-APS score showed the best performance.

Indexed as

comparisonrisk scorestrokestroke‐associated pneumonia

Identifiers

PMID40353057
PMCPMC12064984

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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.