Evidence map›Paper›PMID 39224338›Full record

ArticleHeliyon2024

Clinical value of

Haohong Zhan, Xiaoli Nong, Senzhi Zhu, Ting Luo, Tian Li, Mingjing Cao, Qi Li, Zhuosen He, Junyan Hu, Xi Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Haohong ZhanDepartment of Emergency Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Xiaoli NongDepartment of Ultrasound, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Senzhi ZhuDepartment of Emergency Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Ting LuoDepartment of Emergency Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Tian LiSchool of Basic Medicine, Fourth Military Medical University, Xi'an, 710032, China.
Mingjing CaoDepartment of Emergency Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Qi LiDepartment of Emergency Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Zhuosen HeDepartment of Emergency Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Junyan HuDepartment of Emergency Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Xi LiuDepartment of Emergency Medicine, The Third Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In clinical practice, there are few effective biomarkers for identifying non-alcoholic fatty liver disease (NAFLD). The aim of this study is to investigate the diagnostic value of γ-glutamyl transpeptidase to platelet ratio (GPR) combined with triglyceride (TG) in NAFLD. Methods: A total of 14,415 individuals participated in the annual physical examination. Multivariate logistic regression analysis was conducted to investigate the exposure factors associated with NAFLD. Spearman's analysis was performed to assess the correlation among the exposure factors of NAFLD. Furthermore, the diagnostic efficacy of the combination of GPR and TG in NAFLD was analyzed using the receiver operating characteristic curve (ROC). Results: The results of the multivariate logistic regression analysis showed that BMI (OR = 1.619), Systolic Blood Pressure (SBP) (OR = 1.014), Diastolic Blood Pressure (DBP) (OR = 1.028), GPR (OR = 12.809), and TG (OR = 2.936) were all risk factors for NAFLD, while HDL-C (OR = 0.215) was a protective factor. Spearman correlation analysis revealed significant positive correlations between GPR and SBP, DBP, BMI, TG (p < 0.01), but a negative correlation between GPR and HDL-C (p < 0.01). TG was only positively correlated with GPR (p < 0.001). ROC curve analysis demonstrated that the area under the curve (AUC) of GPR combined with TG for diagnosis of NAFLD was 0.855 (95 % CI: 0.819-0.891), sensitivity was 83.45 % and specificity was 73.56 %. Conclusion: This study indicated that high levels of GPR and TG were risk factors for NAFLD and demonstrated good clinical value in diagnosing NAFLD.

Indexed as

Clinical valueGamma-glutamyl transpeptidase to platelet ratioNonalcoholic fatty liver diseaseTriglyceride

Identifiers

PMID39224338
PMCPMC11367536

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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.