Evidence map›Paper›PMID 31341886›Full record

Trial reportBioMed research international2019

Sex, Age, and BMI Modulate the Association of Physical Examinations and Blood Biochemistry Parameters and NAFLD: A Retrospective Study on 1994 Cases Observed at Shuguang Hospital, China.

Zhengli Tang, Minh Pham, Yiming Hao, Fang Wang, Devashru Patel, Lori Jean-Baptiste, Lin Fan, Weijian Wang, Yiqin Wang, Feng Cheng

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Association between body fat percentage and metabolic and hematologic biomarkers in Korean adults.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026
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  8. Lipoprotein Combine Index as a Better Marker for NAFLD Identification Than Traditional Lipid Parameters.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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  13. Hepatoprotective mechanism ofBioengineered · 2022
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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

10 authors at 3 institutions in 2 countries.

Zhengli TangShuguang Hospital Health Examination Center affiliated with Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Minh PhamDepartment of Mathematics and Statistics, College of Arts and Sciences, University of South Florida, Tampa, FL 33620, USA.
Yiming HaoShanghai Key Laboratory of Health Identification and Assessment/Laboratory of Traditional Chinese Medicine For Diagnostic Information, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0001-9374-2369
Fang WangShuguang Hospital Health Examination Center affiliated with Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Devashru PatelCollege of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Lori Jean-BaptisteBiomedical Sciences Program, College of Arts and Sciences, University of South Florida, Tampa, FL 33620, USA.ORCID https://orcid.org/0000-0001-6197-8836
Lin FanShuguang Hospital Health Examination Center affiliated with Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Weijian WangShuguang Hospital Health Examination Center affiliated with Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0001-7574-9401
Yiqin WangShanghai Key Laboratory of Health Identification and Assessment/Laboratory of Traditional Chinese Medicine For Diagnostic Information, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.ORCID https://orcid.org/0000-0002-0280-7495
Feng ChengDepartment of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL 33612, USA.ORCID https://orcid.org/0000-0003-3619-8090
Shanghai University of Traditional Chinese Medicine · CNUniversity of South Florida · USGeorgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePrevious studies have shown that some metabolic risk factors are related to nonalcoholic fatty liver disease (NAFLD). This retrospective study was performed to investigate the associations between physical examinations and blood biochemistry parameters and NAFLD status and to identify possible risk factors of NAFLD.

methodsStudy participants underwent general physical examinations, blood biochemistry, and abdominal ultrasound evaluations. In addition, data regarding sex, age, ethnicity, medical history, and alcohol consumption of participants were recorded. Among the study participants (N=1994), 57.8% were male, 41.2% over the age of 50, and 52.6% with BMI≥24. 986 patients had NAFLD and 1008 had no NAFLD. We used effect size analysis and logistic regression to determine which physical examinations and blood biochemistry parameters were significant for the association between these parameters and NAFLD status.

resultsBoth the effect size and logistic regression indicated that BMI, diastolic blood pressure (DBP), triglycerides (TG), and serum uric acid (SUA) show a significant association with NAFLD. Females are overall at a higher risk of NAFLD, but factors such as high BMI, DBP, TG, and SUA increase the associated risk for both sexes. Compared with males, females have a higher risk of NAFLD given that they are over 50, overweight and obese (BMI at or over 24), or have high SUA. In terms of age, people older than 50 with high SUA, and people younger than 50 with high DBP and low-density lipoprotein cholesterol (LDL-C) all increase the risk of NAFLD. For BMI, high DBP and low high-density lipoprotein cholesterol (HDL-C) are risk factors for NAFLD in overweight and obese people (BMI at or over 24), whereas in normal weight and underweight people (BMI under 24), elevated LDL-C increases the risk of NAFLD.

conclusionsOur results revealed sex, age, and BMI modulate the association of physical examinations and blood biochemistry parameters and NAFLD, which may facilitate the development of personalized early warning and prevention strategies of NAFLD for at-risk populations.

Indexed as

Body Mass IndexNon-alcoholic Fatty Liver DiseaseObesityAdultChinaCholesterol, HDLCholesterol, LDLFemaleHumansMaleMiddle AgedProspective StudiesRetrospective StudiesRisk FactorsCholesterol, HDLCholesterol, LDL

Identifiers

PMID31341886
PMCPMC6612989
OpenAlexW2955110757

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.