Evidence map›Paper›PMID 38260153›Full record

ArticleFrontiers in endocrinology2023

Combined obesity- and lipid-related indices are associated with hypogonadism in Chinese male patients with type 2 diabetes: a cross-sectional study.

Yongzhuo Yu, Yunyang Wang, Lili Xu, Wenxuan Li, Yangang Wang

Open access · goldAbstract read
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Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yongzhuo YuDepartment of Endocrinology, the Affiliated Hospital of Qingdao University, Qingdao, China.
Yunyang WangDepartment of Endocrinology, the Affiliated Hospital of Qingdao University, Qingdao, China.
Lili XuDepartment of Endocrinology, the Affiliated Hospital of Qingdao University, Qingdao, China.
Wenxuan LiDepartment of Endocrinology, the Affiliated Hospital of Qingdao University, Qingdao, China.
Yangang WangDepartment of Endocrinology, the Affiliated Hospital of Qingdao University, Qingdao, China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is insufficient attention to hypogonadism in Chinese males with type 2 diabetes mellitus (T2DM). We evaluated the relationship between Combined obesity- and lipid-related indices [Visceral Adiposity Index (VAI), Chinese Visceral Adiposity Index (CVAI), Triglyceride Glucose Index (TyG) and Lipid Accumulation Product (LAP)] with total testosterone (TT) and analyzed the predictive capability of the respective cut-off values. Methods: We recruited 958 hospitalized male patients with T2DM at the Affiliated Hospital of Qingdao University, collected baseline data and four calculated indices, and obtained their dominance ratio (OR) and corresponding 95% confidence intervals (CI) with TT by multivariate logistic regression. Receiver operating characteristic (ROC) curves were then used to determine cutoff values in predicting hypogonadism (TT< 12 nmol/L), and we also analyzed the combinations between the different indices. Results: VAI, CVAI, TyG, and LAP all have satisfactory predictive capabilities. The test capability (sensitivity and specificity) of all four indices was better or not worse than that of body mass index (BMI), homeostasis model assessment of insulin resistance (HOMA-IR) and waist circumference (WC). All four indices were effective predictors of hypogonadism at their respective cutoff values (VAI ≥ 2.284, CVAI ≥ 145.779, TyG ≥ 4.308, and LAP ≥ 59.850). Of these, LAP had the largest area under the curve (AUC, AUC = 0.852, Std. Error = 0.014, 95% CI = 0.818-0.873). However, the predictive capability of the combined indices was not significantly improved over the individual indices. Conclusions: VAI, CVAI, TyG, and LAP are sensitive indices for predicting hypogonadism in Chinese male patients with T2DM. Considering the need for concise and accurate indices in clinical practice, we suggest LAP as a commonly used index.

Indexed as

Diabetes Mellitus, Type 2HypogonadismChinaCross-Sectional StudiesGlucoseHumansMaleObesityTestosteroneTriglyceridesGlucoseTestosteroneTriglyceridesChinese visceral adiposity indexhypogonadismlipid accumulation producttriglyceride glucose indextype 2 diabetes mellitusvisceral adiposity index

Identifiers

PMID38260153
PMCPMC10801025
OpenAlexW4391144930

What OpenQuestion holds

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LicenceCC BY
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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.