Evidence map›Paper›PMID 40950956›Full record

ArticleFrontiers in medicine2025

ISI

Jing Liu, Yueqiu Wang, Xinghang Zhou, Zaixin Wen, Yu Chen, Yiqiong Sun, Shuaiying Su, Weiwei Lin, Ruiting Shen, Xiaoyu Sun and 3 more

Abstract read
PubMed Full text at PMC Publisher
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. 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

13 authors.

Jing LiuCixi Biomedical Research Institute, Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yueqiu WangDepartment of Endocrinology and Metabolism, Ningbo No.2 Hospital, Ningbo, Zhejiang, China.
Xinghang ZhouCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Zaixin WenCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Yu ChenCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Yiqiong SunDepartment of Endocrinology and Metabolism, Ningbo No.2 Hospital, Ningbo, Zhejiang, China.
Shuaiying SuCollege of Medicine, Shaoxing University, Shaoxing, Zhejiang, China.
Weiwei LinCollege of Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Ruiting ShenDepartment of Endocrinology and Metabolism, Ningbo No.2 Hospital, Ningbo, Zhejiang, China.
Xiaoyu SunCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Hongru LiCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Xia YuCollege of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
Mingchen ZhangCixi Biomedical Research Institute, Wenzhou Medical University, Wenzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to determine the most efficacious insulin resistance (IR) indices to predict metabolic dysfunction-associated steatotic liver disease (MASLD) in patients with type 2 diabetes mellitus (T2DM). Methods: This cross-sectional study included 1,587 patients with T2DM. MASLD was defined by abdominal ultrasound findings. Liver fibrosis risk was assessed with FIB-4. All participants underwent a 100 g standard steamed bread meal test. We analyzed basal IR indices (HOMA-IR, QUICKI, IAI, Bennett ISI) and post-stimulation IR indices (ISI Results: Participants were categorized into four groups according to IR indices quartiles. Among post-stimulation IR indices, MASLD detection rates in ISI Conclusion: Among the IR indices, ISI

Indexed as

insulin resistanceliver fibrosisMatsuda indexmetabolic dysfunction associated steatotic liver diseasetype 2 diabetes mellitus

Identifiers

PMID40950956
PMCPMC12426025

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.