Evidence map›Paper›PMID 33725855›Full record

ArticleMedicine2021

Prevalence and risk factor analysis for the nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus.

Qiumei Zhou, Yulong Wang, Jiajia Wang, Yating Liu, Dehui Qi, Wei Yao, Hui Jiang, Tingting Li, Kaiquan Huang, Wancun Zhang and 1 more

Abstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Research Progress of Pyroptosis in Fatty Liver Disease.International journal of molecular sciences · 2023
    Review
  13. Review
  14. Prevalence ofJournal of obesity · 2023
    Article
  15. 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

11 authors.

Qiumei ZhouExperimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine.
Yulong WangAnhui Provincial Key Laboratory of Microbial Pest Control, Anhui Agricultural University.
Jiajia WangDepartment of Ultrasonic Medicine.
Yating LiuDepartment of Laboratory Medicine, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei.
Dehui QiZhengzhou Antu Biological Engineering Co. LTD.
Wei YaoExperimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine.
Hui JiangExperimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine.
Tingting LiDepartment of Laboratory Medicine, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei.
Kaiquan HuangExperimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine.
Wancun ZhangDepartment of Pediatric Oncology Surgery, Henan Provincial Key Laboratory of Children's Genetics and Metabolic Diseases, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Xingxing HuoExperimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine.ORCID 0000-0002-9506-1361

Funding

Natural Science Foundation of Anhui Province 1808085QH250Scientific and technological projects of Henan Province 202102310068
6 · The paper itself

Abstract

abstractAlthough non-alcoholic fatty liver disease (NAFLD) is strongly associated with type 2 diabetes mellitus (T2DM), the diagnosis of NAFLD for T2DM patients remains a challenge.This study aimed to investigate the prevalence and risk factors for the NAFLD in T2DM outpatients.This is a retrospective, cross-sectional study that included 2405 T2DM patients treated and admitted for glucose control into the Endocrinology Department of our hospital from April 2017 to March 2019. Using strict exclusion criteria, the target patients were screened and divided into two groups: NAFLD patients (study group) and non-NAFLD patients (control group). Subsequently, 34 factors were compared between the two groups. Furthermore, multivariate analysis of the NAFLD risk factors was performed using logistic regression. Finally, the diagnostic significance of individual biochemical predictors, as well as the combined predictive indicator (CPI), for NAFLD was estimated using receiver operating characteristic (ROC) curve analysis.In this study, the overall prevalence of NAFLD in T2DM patients was 58.67%. Of the target patients, 17 factors were identified by univariate analysis to be associated with NAFLD, and 8 factors were found to be significant predictors for NAFLD using binary logistic regression modeling. Furthermore, the CPI and C-Peptide represent high diagnostic value for NAFLD in T2DM patients.This study provides a more comprehensive risk factor analysis for NAFLD in T2DM patients. These data can be used to provide timely diagnosis and effective management of NAFLD.

Indexed as

AdultAgedCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePrevalenceRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID33725855
PMCPMC7969325

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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.