Evidence map›Paper›PMID 32522731›Full record

ArticleBMJ open diabetes research & care2020

Regional difference in the susceptibility of non-alcoholic fatty liver disease in China.

Mingfeng Xia, Xiaoyang Sun, Lili Zheng, Yufang Bi, Qiang Li, Lirong Sun, Fusheng Di, Hong Li, Dalong Zhu, Yanyan Gao and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Serum Fibroblast Growth Factor 23 Level and Liver Fat Content in MAFLD: A Community-Based Cohort.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    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

18 authors at 13 institutions in 1 country.

Mingfeng Xia *Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Disease, Fudan University, Shanghai, China.
Xiaoyang Sun *Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Disease, Fudan University, Shanghai, China.
Lili ZhengDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yufang BiShanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine Tumors of Ministry of Shanghai, Shanghai Institute for Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-4829-5915
Qiang LiDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Lirong SunKey Laboratory of Hormones and Development (Ministry of Health), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Metabolic Diseases Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
Fusheng DiDepartment of Endocrinology and Metabolism, The Third Central Hospital of Tianjin, Tianjin, China.
Hong LiDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Dalong ZhuDepartment of Endocrinology and Metabolism, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, Jiangsu, China.
Yanyan GaoDepartment of Endocrinology and Metabolism, Affiliated Hospital of Medical College, Qingdao University, Qingdao, China.
Yuqian BaoShanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Department of Endocrinology and Metabolism, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China.
Yao WangDepartment of Endocrinology and Metabolism, Zhongda Hospital Affiliated to Southeast University Medical School, Nanjing, China.
Lanjie HeEndocrine Testing Center, General Hospital of Ningxia Medical University, Yinchuan, China.
Bingjie WuDepartment of Rheumatology, Zhongshan Hospital, Fudan University, Shanghai, China.
Shanshan WangDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, China.
Jian GaoDepartment of Clinical Nutrition, Zhongshan Hospital, Center of Clinical Epidemiology, EBM of Fudan University, Fudan University, Shanghai, China.
Xin GaoDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Disease, Fudan University, Shanghai, China zhongshan_bh@126.com zhongshan_endo@126.com.
Hua BianDepartment of Endocrinology and Metabolism, Zhongshan Hospital, Fudan Institute of Metabolic Disease, Fudan University, Shanghai, China zhongshan_bh@126.com zhongshan_endo@126.com.ORCID 0000-0001-8449-0665
Fudan University · CNFirst Affiliated Hospital of Zhengzhou University · CNHarbin Medical University · CNKunming Medical University · CNNanjing Drum Tower Hospital · CNNingxia Medical University · CNQingdao University · CNRuijin Hospital · CNShanghai Sixth People's Hospital · CNSichuan University · CNTianjin Infectious Diseases Hospital · CNTianjin Third Central Hospital · CNZhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNon-alcoholic fatty liver disease (NAFLD) is a global health problem with high geographic heterogeneity. We aimed to investigate regional-specific concomitant rate of NAFLD and quantitative relationship between liver fat content (LFC) and glucose metabolism parameters in representative clinical populations from six provinces/municipalities of China. RESEARCH DESIGN AND

methodsA total of 2420 eligible Han Chinese were enrolled consecutively from 10 clinics of obesity, diabetes and metabolic diseases located at six provinces/municipalities of China, and divided into North (Tianjin, Shandong and Heilongjiang) and South (Shanghai, Jiangsu and Henan) groups according to their geographical latitude and proximity of NAFLD concomitant rate. LFC was assessed by a quantitative ultrasound method. Multivariate regression models and analysis of covariance were used to assess the regional difference in the risk of NAFLD.

resultsThe concomitant rate of NAFLD was 23.3%, 44.0% and 55.3% in individuals with normal glucose tolerance (NGT), pre-diabetes and diabetes, respectively. A higher concomitant rate of NAFLD was found in the participants from the North comparing with the South group, regardless of glucose metabolism status (34.7% vs 16.2% in NGT, 61.5% vs 34.7% in pre-diabetes and 67.1% vs 48.1% in diabetes). This regional difference remained significant after adjustment for age, gender, alcohol drinking, cigarette smoking, confounding metabolic parameters and liver enzymes. For any given blood glucose, participants from the North had higher LFC than those from the South group.

conclusionsHalf of Han Chinese with pre-diabetes/type 2 diabetes had NAFLD, and the individuals from the North cities were more susceptible to NAFLD.

Indexed as

Diabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseChinaHumansRisk Factorsliver fatnon-alcoholic fatty liver diseasepre-diabetestype 2 diabetes

Identifiers

PMID32522731
PMCPMC7287499
OpenAlexW3033316689

What OpenQuestion holds

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LicenceCC BY-NC
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.