Evidence map›Paper›PMID 41970981›Full record

ArticleFrontiers in endocrinology2026

Lipoprotein combined index and prevalent hyperuricemia among normolipidemic oilfield workers: a cross-sectional study.

Haobiao Liu, Jing Tang, Yingjie Cai, Licheng Yang, Qingsong Li, Xuefeng Yu, Husna Wali, Abebe Feyissa Amhare, Zhiyong Du, Ziwei Guo and 2 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Haobiao LiuXi'an Gem Flower Changqing Hospital, Xi'an, Shaanxi, China.
Jing TangSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yingjie CaiSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Licheng YangSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Qingsong LiSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xuefeng YuSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Husna WaliSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Abebe Feyissa AmhareSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zhiyong DuXi'an Gem Flower Changqing Hospital, Xi'an, Shaanxi, China.
Ziwei GuoXi'an Gem Flower Changqing Hospital, Xi'an, Shaanxi, China.
Jing HanSchool of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Tao ZhuXi'an Gem Flower Changqing Hospital, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The lipoprotein combined index (LCI) reflects composite lipid metabolic patterns and may capture subtle metabolic disturbances beyond conventional lipid markers. Evidence regarding its relationship with hyperuricemia among normolipidemic individuals is scarce. This study investigated the association between LCI and hyperuricemia in an occupational population with normal lipid levels. Methods: A total of 2,029 normolipidemic oilfield workers were included. Hyperuricemia was primarily defined using sex-specific serum uric acid thresholds. Associations between LCI and hyperuricemia were examined using logistic regression, with dose-response relationships explored by restricted cubic spline (RCS) analysis. Prespecified subgroup and multiple sensitivity analyses were conducted to assess robustness. Results: Hyperuricemia prevalence rose from 9.25% in the lowest LCI quartile to 28.99% in the highest. In fully adjusted models, each standard deviation increase in LCI was associated with a 37% higher odds of hyperuricemia (OR = 1.37, 95% CI: 1.20-1.58, Conclusions: Higher LCI levels were associated with increased odds of hyperuricemia among normolipidemic oilfield workers. LCI may serve as an early marker of urate-related metabolic dysregulation, offering additional value beyond traditional lipid indicators. Longitudinal studies are warranted to confirm its predictive potential.

Indexed as

BiomarkersHyperuricemiaLipoproteinsOil and Gas IndustryAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceUric AcidBiomarkersLipoproteinsUric Acidhyperuricemialipoprotein combined indexnormolipidemiaoccupational healthoilfield workers

Identifiers

PMID41970981
PMCPMC13061720

What OpenQuestion 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 OpenQuestion graph.