Evidence map›Paper›PMID 36277687›Full record

ArticleFrontiers in endocrinology2022

Association between body fat distribution and kidney stones: Evidence from a US population.

Guoxiang Li, Hu Liang, Yunwu Hao, Qingfeng Huang, Xudong Shen, Yang Chen, Mingwei Chen, Junhua Xi, Zongyao Hao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Guoxiang LiDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Hu LiangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yunwu HaoDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Qingfeng HuangDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Xudong ShenDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yang ChenDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Mingwei ChenDepartment of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Junhua XiDepartment of Urology, The Second people's Hospital of Hefei (Hefei Hospital Affiliated to Anhui Medical University), Hefei, China.
Zongyao HaoDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CNSecond Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We aimed to evaluate the relationship between the proportion of Android to Gynoid ratio and the incidence of kidney stones among US adults. Methods: Participants aged 20-59 years from the 2011-2018 National Health and Nutrition Examination Survey (NHANES) database were selected to assess the association between Android to Gynoid ratio and kidney stone prevalence using logistic regression analysis, subgroup analysis and calculation of dose-response curves. Results: This study ultimately included 10858 participants, of whom 859 self-reported a history of kidney stones. And after adjusting for all confounders, an increased Android to Gynoid ratio was associated with an increased prevalence of kidney stones (OR=2.75, 95% CI:1.62-4.88). And subgroup analysis showed an increased prevalence of kidney stones in women (OR=3.55, 95% CI: 1.54-8.22), non-diabetic (OR=2.59, 95% CI: 1.45-4.60), 60 > age ≥ 40 years (OR=3.51, 95% CI: 1.83-6.71), Mexican-American (OR=4.35, 95% CI: 1.40- 13.53) and white (OR=3.86, 95% CI: 1.82-8.18) groups, there was a significant positive association between A/G ratio and kidney stones. In contrast, in the hypertensive subgroup, the A/G ratio was associated with kidney stones in all groups. Conclusions: Higher Android to Gynoid ratio is associated with a high prevalence of kidney stone disease.

Indexed as

Body Fat DistributionKidney CalculiAdultFemaleHumansIncidenceNutrition SurveysPrevalenceAndroid to Gynoid ratioDXAfat distributionkidney stonesobesity

Identifiers

PMID36277687
PMCPMC9585195
OpenAlexW4303021536

What OpenQuestion holds

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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.