Evidence map›Paper›PMID 36311639›Full record

ArticleFrontiers in public health2022

Lead exposure as a causative factor for metabolic associated fatty liver disease (MAFLD) and a lead exposure related nomogram for MAFLD prevalence.

Chenyu Yang, Yuanyuan Li, Ran Ding, Huiwu Xing, Ruijue Wang, Mingman Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Institutional Nomogram for Estimating Risk of Metabolic Associated Fatty Liver Disease (MAFLD).Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. 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 at 2 institutions in 1 country.

Chenyu YangDepartment of Hepatobiliary Surgery, Children's Hospital of Chongqing Medical University, Chongqing, China.
Yuanyuan LiCenter of Laboratory Medicine, Chongqing Prevention and Treatment Center for Occupational Diseases, Chongqing, China.
Ran DingChongqing Key Laboratory of Pediatrics, Chongqing, China.
Huiwu XingDepartment of Hepatobiliary Surgery, Children's Hospital of Chongqing Medical University, Chongqing, China.
Ruijue WangDepartment of Hepatobiliary Surgery, Children's Hospital of Chongqing Medical University, Chongqing, China.
Mingman ZhangDepartment of Hepatobiliary Surgery, Children's Hospital of Chongqing Medical University, Chongqing, China.
Children's Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between lead exposure and neurological disorders has been extensively studied, but the effects of lead exposure on hepatotoxicity are unknown. Metabolically related fatty liver disease (MAFLD) is an update of previous non-alcoholic fatty liver disease (NAFLD). It redefines the diagnostic conditions and emphasizes metabolic factors while considering non-alcoholic factors. Lead can affect the endocrine system and metabolism, so we believe that lead exposure may contribute to MAFLD. 41,723 individuals who had undergone blood lead testing from 2005 to 2018 in the National Health and Nutrition Examination Survey (NHANES) database were selected for this study. The characteristics of population lead exposure in the last decade or so, the effect of lead exposure on liver function and whether lead exposure can cause MAFLD were analyzed. Co-variates were adjusted according to age, ethnicity, body mass index (BMI), waist circumference, visceral adiposity index (VAI), poverty indices (PIR), diabetes, hypertension, and hyperlipidemia. The results showed that blood lead concentrations stabilized at a low level after a decreasing trend from year to year. The differences in blood lead concentrations were associated with differences in age, sex, race, education level, and PIR. Lead exposure was an independent risk factor for MAFLD, and lead and nine other factors were used as independent risk factors for MAFLD, so a nomogram was established to predict the prevalence probability of MAFLD.

Indexed as

LeadNon-alcoholic Fatty Liver DiseaseHumansNomogramsNutrition SurveysPrevalenceLeadfatty liver diseaselead (Pb) exposureMAFLDNHANESpublic health

Identifiers

PMID36311639
PMCPMC9597460
OpenAlexW4304687517

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.