Evidence map›Paper›PMID 37751894›Full record

ArticleJournal of diabetes2024

Adrenal limb thickness is associated with metabolism profiles in patients with diabetes: A cross-sectional study.

Yingning Liu, Xiantong Zou, Wei Zhao, Xun Yao, Lexuan Wang, LingLi Zhou, Rui Zhang, Yingying Luo, Meng Li, Xiuying Zhang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes, 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
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

15 authors at 1 institution in 1 country.

Yingning LiuDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Xiantong ZouDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Wei ZhaoDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Xun YaoDepartment of Radiology, Peking University People's Hospital, Beijing, China.
Lexuan WangSchool of Basic Medical Sciences, Peking University, Beijing, China.
LingLi ZhouDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Rui ZhangDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-6005-8245
Yingying LuoDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Meng LiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-3908-4830
Xiuying ZhangDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Yu ZhuDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Xiaoling CaiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Xianghai ZhouDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Xueyao HanDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
Linong JiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-3262-2168
Peking University · CN

Funding

Beijing Municipal Science and Technology Commission, Administrative Commission of Zhongguancun Science Park Z201100005520013Beijing Nova Cross program Z211100002121169Beijing Nova Program of Science and Technology Z191100001119026Clinical Medicine Plus X - Young Scholars Project, Peking University, the Fundamental Research Funds for the Central Universities PKU2022LCXQ004Peking University People's Hospital Scientific Research Development Funds RDH2021-10the National Natural Science Foundation of China 81970708
6 · The paper itself

Abstract

backgroundThe association between adrenal size and metabolic profiles in patients with diabetes mellitus (DM) is unclear. This study was conducted to determine whether the adrenal thickness measured by computed tomography (CT) is correlated with the metabolic profiles of patients with DM.

methodsThis was a cross-sectional study including 588 Chinese hospitalized patients with DM without comorbidities or medications known to affect adrenal morphology or hormone secretion. Adrenal limb thickness was measured on unenhanced chest CT. Participants were stratified into tertiles according to their total adrenal limb thickness. Linear and logistic regression models were used to estimate the correlations.

resultsAfter adjustment for sex and age, the adrenal thickness was positively associated with body mass index (BMI), waist circumference (WC), urinary albumin/creatinine ratio, and 24-h urinary free cortisol (UFC) and negatively correlated with high-density lipoprotein cholesterol. The sequential equation model (SEM) suggested UFC partially mediated the effect of adrenal limb thickness on WC by 12%. Adrenal thickness, but not UFC, was associated with a higher risk of existing hypertension (odds ratio [OR] = 3.78, 95% confidence interval [CI] 1.58, 9.02) and hyperlipidemia (OR = 2.76, 95% CI 1.03, 7.38), independent of age, gender, BMI, and WC.

conclusionsThe adrenal thickness is independently associated with BMI, WC, cortisol levels, urinary albumin/creatinine ratio, hypertension, and dyslipidemia but not glycemic parameters in patients with diabetes. Our study encourages further studies to investigate the role of adrenal physiology in patients with diabetes.

Indexed as

Diabetes MellitusHypertensionAlbuminsBody Mass IndexCreatinineCross-Sectional StudiesHumansHydrocortisoneRisk FactorsWaist CircumferenceAlbuminsCreatinineHydrocortisoneadrenal glandsdiabetes mellitushypertensionmetabolismmultidetector computed tomography

Identifiers

PMID37751894
PMCPMC10859314
OpenAlexW4387036999

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.