Evidence map›Paper›PMID 35896944›Full record

ArticleJournal of endocrinological investigation2022

Sex-specific metabolic risk factors and their trajectories towards the non-alcoholic fatty liver disease incidence.

C Tong, Q Li, L Kong, X Ni, A Halengbieke, S Zhang, Z Wu, L Tao, Y Han, D Zheng and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
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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

12 authors at 2 institutions in 1 country.

C TongSchool of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Q LiScience and Education Section, Beijing Physical Examination Center, No. 59, Beiwei Road, Xicheng district, Beijing, China.
L KongInformation Center, Beijing Physical Examination Center, No. 59, Beiwei Road, Xicheng district, Beijing, China.
X NiSchool of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
A HalengbiekeSchool of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
S ZhangMedical Records Statistics Office, Peking University First Hospital, Beijing, 100034, China.
Z WuSchool of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
L TaoSchool of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
Y HanScience and Education Section, Beijing Physical Examination Center, No. 59, Beiwei Road, Xicheng district, Beijing, China.
D ZhengSchool of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
X GuoSchool of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China.
X YangSchool of Public Health, Capital Medical University, 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069, China. xinghuayang@ccmu.edu.cn.ORCID http://orcid.org/0000-0001-5608-0255
Capital Medical University · CNPeking University · CN

Funding

National Key Research and Development Program of China 2020YFC2003404Natural Science Foundation of Beijing Municipality 7202010
6 · The paper itself

Abstract

purposeNon-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease. This study examined sex-specific associations between NAFLD and metabolic factors and investigated the trajectory of risk factors.

methodsWe retrospectively investigated 16,140 individuals from Beijing Health Management Cohort. Univariate and multivariate time-dependent Cox regression analyses were performed to identify independent risk factors for new-onset NAFLD. The trajectory of risk factors was investigated using the latent growth curve model and growth mixture model.

resultsOver a median follow-up of 3.15 years, 2,450 (15.18%) participants developed NAFLD. The risk factors for NAFLD in men were increased body mass index (BMI); waist circumference (WC); triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), haemoglobin (Hb), and serum uric acid (SUA) levels; and platelet (PLT) count and decreased serum creatinine-to-body weight (sCr/bw) and high-density lipoprotein cholesterol (HDL-C) levels. In women, the risk factors were increased BMI, WC, and fasting plasma glucose (FPG), TG, LDL-C, SUA, white blood cell (WBC), and PLT and decreased sCr/bw and HDL-C levels. In addition, BMI, LDL-C, sCr/bw and PLT changing trajectories were associated with NAFLD in men; BMI, WC, TG, LDL-C, SUA and sCr/bw trends was associated with NAFLD risk in women.

conclusionsDevelopment of NAFLD is associated with BMI, LDL-C, sCr/bw and PLT changing trajectories in men; BMI, WC, TG, LDL-C, SUA and sCr/bw trends are associated an increased risk of NAFLD in women. Deterioration of metabolic risk factors status can be a predictor of NAFLD many years before its occurrence.

Indexed as

Non-alcoholic Fatty Liver DiseaseBody Mass IndexCholesterol, LDLFemaleHumansIncidenceMaleRetrospective StudiesRisk FactorsTriglyceridesUric AcidCholesterol, LDLTriglyceridesUric AcidLatent growth curve modelLiver diseaseLongitudinal studiesRisk factorsTrajectory

Identifiers

PMID35896944
OpenAlexW4288052973

What Socratic holds

Textmetadata
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.