Evidence mapPaperPMID 41103349Full record

ArticleMetabolism open2025

Association between HOMA-IR and metabolic dysfunction-associated steatohepatitis in U.S. adults with MASLD.

Xiao-Xuan Tang, Rui Wu, Jun-Hui Chen, Feng-Lan Wang, Sai-Li Zhao, Jie Lu, Jian Qin, Duan-Ming Zhuang, Bin Zhang

Abstract read
In one paragraph

Article in Metabolism open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Xiao-Xuan TangDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Rui WuDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Jun-Hui ChenDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Feng-Lan WangDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Sai-Li ZhaoDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Jie LuDepartment of Gastroenterology, Fengyang County People's Hospital, Chuzhou, China.
Jian QinDepartment of Gastroenterology, Bingtuan Sishi Hospital, Ili, China.
Duan-Ming ZhuangDepartment of Gastroenterology, Gaochun People's Hospital, Nanjing, China.
Bin ZhangDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: MASH is a critical point in metabolic dysfunction-associated steatotic liver disease (MASLD). Understanding its association with the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) is essential, as HOMA-IR is a marker for insulin resistance. Methods: This study analyzed 700 adults from the NHANES 2017-2020, using the FAST score (with thresholds of ≥0.35 and ≥ 0.67) to identify individuals at high MASH risk. Logistic regression assessed HOMA-IR's association with MASH risk, while linear regression evaluated its link to liver stiffness measurement (LSM) and controlled attenuation parameter (CAP). Nonlinear associations were explored using restricted cubic splines (RCS), and BMI's mediation effects were examined through causal mediation analysis. Results: MASH risk was significantly higher in the highest HOMA-IR quartile compared to the lowest (OR = 5.942, 95 %CI = 2.117-16.679, P = 0.001). RCS revealed nonlinear associations between HOMA-IR and both MASH risk (P = 0.007) and liver metrics (LSM: P = 0.045; CAP: P < 0.001). HOMA-IR correlated with increased hepatic steatosis and fibrosis severity. BMI mediated 34.26 % and 19.62 % of the associations for LSM and CAP, respectively. Conclusion: Monitoring HOMA-IR is vital for early MASH risk detection and intervention. Targeting insulin resistance and BMI may reduce MASH risk and severity, highlighting the need for integrated therapeutic strategies.

Identifiers

PMID41103349
PMCPMC12524561

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.