Evidence map›Paper›PMID 35684072›Full record

SynthesisNutrients2022

The Relationship between Fat Mass Percentage and Glucose Metabolism in Children and Adolescents: A Systematic Review and Meta-Analysis.

Fangfang Chen, Junting Liu, Dongqing Hou, Tao Li, Yiren Chen, Zijun Liao, Lijun Wu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Metabolic complications of obesity in children and adolescents.Clinical and experimental pediatrics · 2024
    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

7 authors.

Fangfang ChenDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China.
Junting LiuChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing 100020, China.
Dongqing HouChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing 100020, China.
Tao LiChild Health Big Data Research Center, Capital Institute of Pediatrics, Beijing 100020, China.ORCID 0000-0002-6096-8772
Yiren ChenDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China.
Zijun LiaoDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, Beijing 100020, China.ORCID 0000-0002-5281-9216
Lijun WuDepartment of Epidemiology, Capital Institute of Pediatrics, Beijing 100020, China.ORCID 0000-0001-5876-8379

Funding

the National Key Research and Development Program of China; public service development and reform pilot project of Beijing Medical Research Institute; Beijing Municipal Administration of Hospitals Incubating Program 2016YFC1300100; BMR2019-11; Px2022052
6 · The paper itself

Abstract

To assess the relationship between fat mass percentage (FMP) and glucose metabolism in children aged 0−18 years we performed a systematic review of the literature on Medline/PubMed, SinoMed, Embase and Cochrane Library using the PRISMA 2020 guidelines up to 12 October 2021 for observational studies that assessed the relationship of FMP and glucose metabolism. Twenty studies with 18,576 individuals were included in the meta-analysis. The results showed that FMP was significantly associated with fasting plasma glucose (FPG) (r = 0.08, 95% confidence interval (CI): 0.04−0.13, p < 0.001), fasting plasma insulin (INS) (r = 0.48, 95% CI: 0.37−0.57, p < 0.001), and homeostasis model assessment (HOMA)- insulin resistance (IR) (r = 0.44, 95% CI: 0.33−0.53, p < 0.001). The subgroup analysis according to country or overweight and obesity indicated that these associations remained significant between FMP and INS or HOMA-IR. Our results demonstrated that there is a positive relationship between FMP and FPG. Moreover, subgroup analysis according to country or overweight and obesity indicated that FMP is significantly associated with INS and HOMA-IR. This is the first known systematic review and meta-analysis to determine the associations of FMP with glucose metabolism in children and adolescents.

Indexed as

Insulin ResistanceOverweightAdolescentBlood GlucoseChildGlucoseHumansInsulinObesityBlood GlucoseGlucoseInsulinchildrenfat mass percentageglucose metabolismmeta-analysissystematic review

Identifiers

PMID35684072
PMCPMC9183098

What Socratic 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 Socratic graph.