Evidence map›Paper›PMID 38987694›Full record

ArticleBMC gastroenterology2024

Association between different obesity patterns and the risk of NAFLD detected by transient elastography: a cross-sectional study.

Jingjing Sun, Chun Yan, Jing Wen, Fang Wang, Han Wu, Fang Xu

Abstract read
In one paragraph

Article in BMC gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. 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.

Jingjing SunDepartment of Ultrasound, Shanghai Fourth People's HospitalTongji University School of MedicineHongkou District, No. 1279, Sanmen Road, Shanghai, 200434, China.
Chun YanDepartment of Ultrasound, Shanghai Fourth People's HospitalTongji University School of MedicineHongkou District, No. 1279, Sanmen Road, Shanghai, 200434, China.
Jing WenDepartment of Ultrasound, Shanghai Fourth People's HospitalTongji University School of MedicineHongkou District, No. 1279, Sanmen Road, Shanghai, 200434, China.
Fang WangDepartment of Ultrasound, Shanghai Fourth People's HospitalTongji University School of MedicineHongkou District, No. 1279, Sanmen Road, Shanghai, 200434, China.
Han WuDepartment of Ultrasound, Shanghai Fourth People's HospitalTongji University School of MedicineHongkou District, No. 1279, Sanmen Road, Shanghai, 200434, China.
Fang XuDepartment of Ultrasound, Shanghai Fourth People's HospitalTongji University School of MedicineHongkou District, No. 1279, Sanmen Road, Shanghai, 200434, China. xufang_smile@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity has become a major global public health challenge. Studies examining the associations between different obesity patterns and the risk of nonalcoholic fatty liver disease (NAFLD) are limited. This study aimed to investigate the relationships between different obesity patterns and the risk of NAFLD in a large male population in the US.

methodsData from the 2017 to March 2020 National Health and Nutrition Examination Survey (NHANES) were utilized. Liver steatosis and fibrosis were assessed with FibroScan using the controlled attenuation parameter (CAP) and liver stiffness measurements (LSM). Steatosis was identified with a CAP value of 248 dB/m or higher. Abdominal obesity was defined by a waist circumference (WC) of 102 cm or more for males and 88 cm or more for females. Overweight was defined as a body mass index (BMI) of 24.0 kg/m

resultsA total of 5,858 adults were included. After multivariable adjustment, compared to the normal weight group, the odds ratios (ORs) [95% confidence interval (CI)] for NAFLD in individuals with overweight, general obesity, abdominal obesity, and combined obesity were 6.90 [3.74-12.70], 2.84 [2.38-3.39], 3.02 [2.02-4.51], and 9.53 [7.79-11.64], respectively. Subgroup analysis showed the effect of different obesity patterns on NAFLD risk was stable among individuals with different clinical conditions. In the fully adjusted multivariate logistic regression model, WC was positively associated with NAFLD risk (OR: 1.48; 95% CI: 1.42-1.53; P < 0.001). WC also demonstrated strong discriminatory ability for NAFLD in Receiver Operating Characteristic (ROC) analysis, achieving an Area Under the Curve (AUC) of 0.802.

conclusionsDifferent patterns of obesity are risk factors for NAFLD. An increase in WC significantly increased NAFLD risk. More attention should be paid to preventing different patterns of obesity among adults.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseNutrition SurveysObesityAdultBody Mass IndexCross-Sectional StudiesFemaleHumansLiver CirrhosisMaleMiddle AgedObesity, AbdominalOverweightRisk FactorsUnited StatesCross-sectionalHepatic fibrosisNAFLDObesity patternsTransient elastography

Identifiers

PMID38987694
PMCPMC11238456

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.