Evidence map›Paper›PMID 36374233›Full record

ArticleRenal failure2022

Association of metabolic dysfunction-associated fatty liver disease with chronic kidney disease: a Chinese population-based study.

Qian Hu, Yao Chen, Ting Bao, Yan Huang

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 5 syntheses or guidelines pooled it, 16 citations in OpenAlex.

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  13. [Analysis of non-alcoholic fatty liver disease differences from metabolic dysfunction-associated fatty liver disease based on clinical features].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Article
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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

4 authors at 2 institutions in 1 country.

Qian HuHealth Management Center, West China Hospital of Sichuan University, Chengdu, China.
Yao ChenDepartment of Breast Surgery, West China Hospital, Sichuan University, Chengdu, China.
Ting BaoHealth Management Center, West China Hospital of Sichuan University, Chengdu, China.
Yan HuangHealth Management Center, West China Hospital of Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated fatty liver disease (MAFLD) is a multisystem disorder, but its relationship with kidney injury remains controversial. This study aimed to evaluate MAFLD effects on the chronic kidney disease (CKD) prevalence in a general population in China.

methodsIn total, 15,010 individuals from the Health Management Center of West China Hospital from July 2020 to June 2021 were screened. Hepatic steatosis was defined as a median FibroScan controlled attenuation parameter (CAP)≥240 dB/m using liver ultrasound transient elastography. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m

resultsA total of 8226 individuals were finally included. Of them, 4406 (53.6%) had MAFLD, and 592 (7.2%) had CKD. After propensity score matching (PSM), 5530 eligible subjects were selected (

conclusionIndividuals with MAFLD had a higher prevalence of CKD, whereas it was not an independent risk factor for CKD.

Indexed as

Diabetes MellitusFatty LiverHypertensionHyperuricemiaNon-alcoholic Fatty Liver DiseaseRenal Insufficiency, ChronicChinaCholesterolHumansCholesterolchronic kidney diseasediabeteshyperuricemiaMetabolic dysfunction-associated fatty liver diseaseremnant cholesterol

Identifiers

PMID36374233
PMCPMC9668278
OpenAlexW4308976478

What OpenQuestion holds

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LicenceCC BY
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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.