Evidence map›Paper›PMID 38425754›Full record

SynthesisFrontiers in endocrinology2024

The effect of PFAS exposure on glucolipid metabolism in children and adolescents: a meta-analysis.

Qingqing Zheng, Wu Yan, Shenghu Gao, Xiaonan Li

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

4 authors.

Qingqing Zheng *Department of Children Health Care, Children's Hospital of Nanjing Medical University, Nanjing, China.
Wu Yan *Department of Children Health Care, Children's Hospital of Nanjing Medical University, Nanjing, China.
Shenghu GaoDepartment of Children Health Care, Children's Hospital of Nanjing Medical University, Nanjing, China.
Xiaonan LiDepartment of Children Health Care, Children's Hospital of Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies showed that per- and polyfluoroalkyl substances (PFAS), which are widely found in the environment, can disrupt endocrine homeostasis when they enter the human body. This meta-analysis aimed to evaluate current human epidemiological evidence on the relationship between PFAS exposure and glucolipid metabolism in childhood and adolescence. Methods: We searched PubMed, Web of Science, Embase, and Cochrane Library databases, and identified population-based epidemiological studies related to PFAS and glucolipid metabolism indexes that were published before 30 December 2022. The heterogeneity of the included literature was assessed using the I-square ( Results: A total of 12 studies were included in this analysis. There was a positive association between PFAS and TC ( Conclusion: PFAS exposure is associated with glucolipid metabolism in children and adolescents. Among them, PFOS may play an important role. Recognition of environmental PFAS exposure is critical for stabilizing the glycolipid metabolism relationship during the growth and development of children and adolescents.

Indexed as

FluorocarbonsLipid MetabolismAdolescentChildDatabases, FactualFemaleHomeostasisHumansMaleReproducibility of ResultsFluorocarbonsadolescentschildrenglucolipid metabolismglycometabolismlipid metabolismmeta-analysisper- and polyfluoroalkyl substancesPFAS

Identifiers

PMID38425754
PMCPMC10902913

What OpenQuestion holds

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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.