Evidence mapPaperPMID 39881239Full record

ArticleBMC gastroenterology2025

Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017-2020.

Xin Qiu, Shuang Shen, Nizhen Jiang, Yifei Feng, Guodong Yang, Donghong Lu

Abstract read
In one paragraph

Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Association of Systemic Inflammatory Indices with Metabolic Dysfunction-Associated Steatotic Liver Disease and Liver Fibrosis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. World journal of hepatology · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. 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

6 authors.

Xin Qiu *Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shuang Shen *Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Nizhen JiangGuangxi Medical University Cancer Hospital, Nanning, China.
Yifei FengGuangxi Medical University Cancer Hospital, Nanning, China.
Guodong YangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Donghong LuDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China. ldh3006@163.com.

Funding

Self-funded Scientific Research Project of the Health and Family Planning Commission of Guangxi Zhuang Autonomous Region Z-A20240412the Youth Science Foundation of Guangxi Medical University GXMUYSF202321
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is a primary cause of chronic liver disease, with potential progression to cirrhosis and hepatocellular carcinoma (HCC). Although systemic inflammatory biomarkers are associated with liver diseases, their specific role in MASLD remains unclear. This study examines the association between systemic inflammatory biomarkers and MASLD.

methodsThis cross-sectional study enrolled 6613 adults aged 20 years or older from the National Health and Nutrition Examination Survey (NHANES) spanning from 2017 to March 2020. Among these participants,, 34.67% were aged 40-59 years, 50.85% were female, and 63.26% were Non-Hispanic White. We investigated 10 inflammatory biomarkers: ALI, SIRI, SII, SIPS, IBI, NLR, PLR, CAR, LMR, and PNI. Logistic regression models were performed to assess the linear association between systemic inflammatory biomarkers and MASLD. Restricted cubic spline (RCS) regression was employed to explore potential nonlinear relationships between biomarkers and MASLD risk. Additionally, subgroup analyses were conducted to examine the influence of various demographic and clinical characteristics on the observed associations.

resultsAfter adjusting for key confounders, NLR and PLR exhibited negative association with MASLD risk, while ALI, CAR, and PNI exhibited the opposite association (P < 0.05). Most biomarkers, including ALI, SIRI, IBI, CAR, LMR, and PNI, exhibited significant non-linear correlations with MASLD (P < 0.05). Subgroup analyses revealed substantial age-related differences in the association between ALI and MASLD risk, as well as varying relationships between PNI and MASLD risk across various cardiovascular outcomes (P < 0.05).

conclusionSystemic inflammatory biomarkers are significantly associated with MASLD risk. Large-scale prospective studies are warranted to confirm these findings and elucidate the underlying mechanisms.

Indexed as

Fatty LiverInflammationAdultBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesBiomarkersMetabolic dysfunction associated steatotic liver disease (MASLD)NHANESPopulation-based studySystemic inflammatory biomarkers

Identifiers

PMID39881239
PMCPMC11776320

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.