Evidence map›Paper›PMID 37065465›Full record

ArticleFrontiers in aging neuroscience2023

Evaluation of a novel scoring system based on thrombosis and inflammation for predicting stroke-associated pneumonia: A retrospective cohort study.

Dongze Li, Yi Liu, Yu Jia, Jing Yu, Xiaoli Chen, Hong Li, Lei Ye, Zhi Wan, Zhi Zeng, Yu Cao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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, 7 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Dongze LiDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Yi LiuDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Yu JiaDepartment of General Practice, General Practice Medical Center, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Jing YuDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Xiaoli ChenDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Hong LiDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Lei YeDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Zhi WanDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Zhi ZengDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Yu CaoDepartment of Emergency Medicine, West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China.
Sichuan University · CNWest China Medical Center of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammation and thrombosis are involved in the development of stroke-associated pneumonia (SAP). Our aim was to evaluate the predictive value of a novel, simplified, thrombo-inflammatory prognostic score (TIPS) that combines both inflammatory and thrombus biomarkers in the early phase of ischemic stroke (IS). Methods: The study population consisted of 897 patients with a first diagnosis of IS admitted to the emergency department of five tertiary hospitals in China. Of these, the data from 70% of patients was randomly selected to derive the model and the other 30% for model validation. A TIPS of "2" was indicative of high inflammation and thrombosis biomarkers and "1" of one biomarker, with "0" indicative of absence of biomarkers. Multivariate logistic regression analyses were used to identify the association between TIPS and SAP. Results: The TIPS was an independent predictor of SAP and 90-day mortality, with the incidence of SAP being significantly higher for patients with a high TIPS. The TIPS provided superior predictive value for SAP than clinical scores (A Conclusion: The TIPS score may be a useful tool for early identification of patients at high-risk for SAP after IS.

Indexed as

biomarkersinflammationprognostic scorestroke-associated pneumoniathrombosis

Identifiers

PMID37065465
PMCPMC10098085
OpenAlexW4361276228

What OpenQuestion holds

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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.