Evidence mapPaperPMID 42553169Full record

ArticleFrontiers in neurology2026

Construction and validation of a tracheostomy prediction model in mechanically ventilated stroke patients and the impact of early versus late tracheostomy on clinical outcomes: an IPTW-based analysis.

Miaoxinhui Shao, Wenjie Pan, Yanxin Liu, Hui Wang, Xiaoxia Duan

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Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Miaoxinhui ShaoThe Second Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Wenjie PanSchool of Medical Imaging, Bengbu Medical University, Bengbu, China.
Yanxin LiuDepartment of Nursing, Bengbu Medical University, Bengbu, China.
Hui WangDepartment of Nursing, Bengbu Medical University, Bengbu, China.
Xiaoxia DuanDepartment of Development and Cooperation, The Second Affiliated Hospital of Bengbu Medical University, Bengbu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to develop and validate a predictive model for tracheostomy in mechanically ventilated stroke patients and to investigate the impact of early and late tracheostomy on in-hospital outcomes. Methods: A total of 508 mechanically ventilated stroke patients who were admitted to a tertiary hospital between January 2022 and January 2025 were retrospectively enrolled and divided into the tracheostomy and non-tracheostomy groups. Patients were randomly split into a training set ( Results: A multivariable logistic regression identified midline shift, hypoalbuminemia, admission Glasgow Coma Scale (GCS) score, C-reactive protein (CRP), and prognostic nutritional index (PNI) as independent predictors ( Conclusion: The nomogram developed in this study demonstrated good performance in predicting the risk of tracheostomy in mechanically ventilated stroke patients and enabled individualized real-time risk assessment via a web-based tool. Early tracheostomy may help shorten ICU stay and could inform clinical decision-making.

Indexed as

clinical outcomesearly tracheostomymechanically ventilated strokeprediction modeltracheostomy

Identifiers

PMID42553169
PMCPMC13433352

What Socratic holds

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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 Socratic graph.