Evidence map›Paper›PMID 41018502›Full record

ArticleJournal of central nervous system disease2025

Nomogram Models Integrating TyG Index for Predicting Early Neurological Deterioration and 90-Day Outcomes in AIS Patients Undergoing IVT.

Lai Wei, Zhihua Wu, Xiang Zhou, Zhifeng Liu, Xiaoyan Wu, Kangwei Zhang, Peijun Wang, Haoyi Ye

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of central nervous system disease, 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.

Lai WeiDepartment of Radiology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0003-1740-9331
Zhihua WuDepartment of Radiology, The Fourth Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0009-0005-9670-5279
Xiang ZhouDepartment of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0002-5394-3841
Zhifeng LiuDepartment of Radiology, The Fourth Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1807-9576
Xiaoyan WuDepartment of Neurology, The Fourth Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-8149-4684
Kangwei ZhangDepartment of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0000-0003-3188-5254
Peijun WangDepartment of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.ORCID https://orcid.org/0009-0000-9187-0447
Haoyi YeDepartment of Radiology, The Fourth Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-2585-4163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the influence of the triglyceride-glucose index (TyG index) on clinical outcomes and to develop nomogram models for predicting early neurological deterioration (END) and long-term prognosis in acute ischemic stroke (AIS) patients following intravenous thrombolytic (IVT) therapy. Methods: We conducted a multi-center retrospective cohort study involving 333 AIS patients treated with IVT. The short-term and long-term outcomes were defined as the occurrence of END and 90-day prognosis. Multivariate logistic regression was used to develop nomogram models for forecasting these clinical outcomes. Results: Patients in the high-TyG group exhibited significantly higher risks of END ( Conclusion: A higher TyG index correlates with poor clinical outcomes in AIS patients post-IVT. The nomograms combining the TyG index with various factors enhanced risk prediction for END and poor prognosis.

Indexed as

acute ischemic stroke (AIS)early neurologic deterioration (END)nomogram modelsoutcomeprognosistriglyceride-glucose (TyG) index

Identifiers

PMID41018502
PMCPMC12464407

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.