Evidence map›Paper›PMID 41601726›Full record

ArticleFrontiers in medicine2025

Prognostic value of combined stratification using TyG index and CD4

Yongchang Wu, Jiejing Chen, Yu Meng, Mingyue Ren, Zhenyi Zou, Linghua Li, Xilong Deng, Yueping Li

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Yongchang WuInstitute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Jiejing ChenInstitute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yu MengInfectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Mingyue RenInstitute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhenyi ZouInstitute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Linghua LiInfectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xilong DengDepartment of Critical Care Medicine, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yueping LiInfectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis contributes to global mortality due to chronic immunodeficiency and metabolic disturbances, particularly in those infected with the human immunodeficiency virus (HIV). The TyG index and CD4 Methods: Clinical data were retrospectively collected from patients admitted to the Eighth Affiliated Hospital of Guangzhou Medical University. The participants were stratified into four risk categories according to their TyG index and CD4 Results: Among 1,278 patients with HIV-associated sepsis, 847 had CD4 counts <50 cells/μL. The Kaplan-Meier analysis revealed progressively higher 7-day and 28-day all-cause mortality rates across these strata, with the highest mortality in the low CD4 Conclusion: A combined TyG-CD4 assessment provides a rapid and straightforward means of integrating metabolic and immunological insights to identify high-risk individuals early, thereby generating hypotheses for future trials of personalized therapeutic strategies.

Indexed as

CD4HIVinsulin resistancesepsisTyG

Identifiers

PMID41601726
PMCPMC12832338

What Socratic holds

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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.