Evidence mapPaperPMID 39636931Full record

ArticlePloS one2024

Lipid accumulation product and gallstone risk in US adults: A cross-sectional analysis of NHANES 2017-2020 data.

Xiaocheng Li, Jun Wang, Kai Leng

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiaocheng LiDepartment of Hepatopancreatobiliary Surgery, Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.ORCID https://orcid.org/0009-0004-2809-5635
Jun WangDepartment of Hepatopancreatobiliary Surgery, Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.
Kai LengDepartment of Hepatopancreatobiliary Surgery, Third Affiliated Hospital of Zunyi Medical University (The First People's Hospital of Zunyi), Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbdominal obesity and insulin resistance are key risk factors for gallstones. The Lipid Accumulation Product (LAP), which combines waist circumference and triglyceride levels, may be a superior marker for visceral fat accumulation. However, its association with gallstone risk is unclear.

methodsData from 3294 participants in the National Health and Nutrition Examination Survey (NHANES) 2017-2020 cycle were analyzed. Weighted logistic regression, subgroup analyses, and restricted cubic spline (RCS) analysis explored the relationship between LAP and gallstone risk. ROC analysis, along with Random Forest and CatBoost models, compared the predictive abilities of LAP with BMI.

resultsWeighted logistic regression analysis showed that each unit increase in Ln-LAP was associated with a 52% higher risk of gallstones (OR: 1.52; 95% CI: 1.24-1.86; P = 0.009). Compared to the lowest tertile (T1), the second tertile (T2) had a higher risk of gallstones (OR: 1.76; 95% CI: 1.09-2.84; P = 0.082), and the third tertile (T3) had an even higher risk (OR: 2.27; 95% CI: 1.47-3.49; P = 0.021). RCS analysis showed a nonlinear positive relationship between Ln-LAP and gallstone risk (non-linear P < 0.001). Subgroup analyses indicated that Ln-LAP was significantly positively associated with the risk of gallstones in most subgroups, with no significant interactions observed among the subgroups. Weighted logistic regression analysis revealed a significant positive association between BMI ≥ 30 kg/m2 (obesity) and the risk of gallstones. ROC analysis indicated that Ln-BMI is a better predictor of gallstone risk than Ln-LAP. However, in Random Forest and CatBoost models, LAP exhibited predictive value similar to BMI for gallstone risk.

conclusionWhile LAP is significantly and positively associated with an increased risk of gallstones, BMI generally appears to be a stronger predictor. However, LAP may still serve as a comparable marker under specific modeling conditions. Further research is needed to explore the relationship between LAP and gallstone risk.

Indexed as

GallstonesLipid Accumulation ProductNutrition SurveysAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedObesity, AbdominalRisk FactorsTriglyceridesUnited StatesWaist CircumferenceTriglycerides

Identifiers

PMID39636931
PMCPMC11620675

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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.