Evidence map›Paper›PMID 39806693›Full record

ArticleBMJ open2024

Association between obesity and thyroid nodules in children and adults living in iodine-sufficient areas: analysis of cross-sectional data from Tianjin, China.

Dandan Zhang, Yang Wang, Wenfeng Li, Yani Duan, Fang Li, Yushan Cui

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

6 authors.

Dandan ZhangTianjin Centers for Disease Control and Prevention, Tianjin, Hedong District, China.
Yang WangTianjin Centers for Disease Control and Prevention, Tianjin, Hedong District, China.
Wenfeng LiTianjin Centers for Disease Control and Prevention, Tianjin, Hedong District, China.
Yani DuanTianjin Centers for Disease Control and Prevention, Tianjin, Hedong District, China.
Fang LiTianjin Centers for Disease Control and Prevention, Tianjin, Hedong District, China.
Yushan CuiTianjin Centers for Disease Control and Prevention, Tianjin, Hedong District, China yushan.273@163.com.ORCID 0009-0000-1445-8432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main purpose of this study was to analyse the association between obesity and thyroid nodules in children and adults living in iodine-sufficient areas in China.

designAnalysis of data from two cross-sectional surveys. SETTING AND

participants921 children from 2016 to 2021 and 1505 adults from 2018 to 2021 living in iodine-sufficient areas from Tianjin, China were recruited. OUTCOME MEASURES: Anthropometric measures including height and weight were taken, and body mass index (BMI) and body surface area (BSA) were calculated. Thyroid ultrasonography was performed to assess thyroid nodules. A multifactor logistic regression model and a restricted cubic spline model were used to analyse the association between BMI/BSA and thyroid nodules in children and adults.

resultsThyroid nodules were detected in 21.72% of children and 40.00% of adults. Compared with children in the low BMI and low BSA groups, children in higher BMI (

conclusionChildhood obesity is associated with the risk of thyroid nodules; however, there is no clear association between adult obesity and thyroid nodules.

Indexed as

IodineObesityPediatric ObesityThyroid NoduleAdolescentAdultBody Mass IndexBody Surface AreaChildChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsIodineBody Mass IndexCross-Sectional StudiesObesityThyroid disease

Identifiers

PMID39806693
PMCPMC11683947

What OpenQuestion holds

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LicenceCC BY-NC
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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.