Evidence map›Paper›PMID 37237396›Full record

ArticleDiabetology & metabolic syndrome2023

Comparison of lipid accumulation product and visceral adiposity index with traditional obesity indices in early-onset type 2 diabetes prediction: a cross-sectional study.

Chen-Ying Lin, Jing-Bo Li, Fan Wu, Jun-Jia Wang, Hao-Hua An, Hui-Na Qiu, Long-Fei Xia, Yao-Shuang Li, Ya-Jie Zhai, Chun-Jun Li and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Chen-Ying Lin *Tianjin Union Medical Center, Tianjin Medical University, Tianjin, China.
Jing-Bo Li *Department of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, No. 190, Jieyuan Rd, Hongqiao District, Tianjin, 300121, China.
Fan WuSchool of Medicine, Nankai University, Tianjin, China.
Jun-Jia WangGraduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Hao-Hua AnDepartment of Clinical Laboratory, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, China.
Hui-Na QiuDepartment of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, No. 190, Jieyuan Rd, Hongqiao District, Tianjin, 300121, China.
Long-Fei XiaTianjin Union Medical Center, Tianjin Medical University, Tianjin, China.
Yao-Shuang LiTianjin Union Medical Center, Tianjin Medical University, Tianjin, China.
Ya-Jie ZhaiSchool of Medicine, Nankai University, Tianjin, China.
Chun-Jun LiDepartment of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, No. 190, Jieyuan Rd, Hongqiao District, Tianjin, 300121, China.
Jing-Na LinDepartment of Endocrinology, Health Management Center, Tianjin Union Medical Center, Nankai University Affiliated Hospital, No. 190, Jieyuan Rd, Hongqiao District, Tianjin, 300121, China. 13207628978@163.com.
Nankai University · CNTianjin Medical University · CNTianjin Nankai Hospital · CNTianjin University of Traditional Chinese Medicine · CN

Funding

Science and Technology Project of the Tianjin Municipal Health Commission ZD20006Tianjin Science and Technology Committee 18ZXDBSY00120
6 · The paper itself

Abstract

backgroundThe purpose of the study was to compare the efficacy of two novel obesity indices, lipid accumulation product (LAP) and visceral adiposity index (VAI), with traditional obesity indices in predicting early-onset type 2 diabetes (T2DM).

methodsIn this cross-sectional study, a total of 744 participants, including 605 patients newly diagnosed with T2DM and 139 non-diabetic control subjects, were enrolled from a tertiary care hospital in Tianjin, China. Participants with T2DM were divided into two groups based on their age at diagnosis, namely early-onset T2DM (age less than 40 years, n = 154) and late-onset T2DM (age 40 years or older, n = 451). The predictive power of each obesity index was evaluated using receiver operating characteristic (ROC) curve analysis. Furthermore, binary logistic regression analysis was conducted to examine the independent relationship between LAP and VAI with early-onset T2DM risk. The relationship between novel obesity indices and the age of T2DM onset was also evaluated through correlation and multiple linear regression analysis.

resultsIn males, LAP had the highest predictive power for early-onset T2DM with an area under the ROC curve (AUC) of 0.742 (95% CI 0.684-0.799, P < 0.001). In females, VAI had the highest AUC for early-onset T2DM with a value of 0.748 (95% CI 0.657-0.839, P < 0.001), which was superior to traditional indices. Patients in the 4th quartile of LAP and VAI had 2.257 (95% CI 1.116-4.563, P = 0.023) and 4.705 (95% CI 2.132-10.384, P < 0.001) times higher risk of T2DM before age 40, compared to those in the 1st quartile, respectively. A tenfold increase in LAP was associated with a decrease in T2DM onset age of 12.862 years in males (β = -12.862, P < 0.001) and 6.507 years in females (β = -6.507, P = 0.013). A similar decrease in T2DM onset age was observed for each tenfold increase in VAI in both male (β = -15.222, P < 0.001) and female (β = -12.511, P < 0.001) participants.

conclusionsIn young Chinese individuals, LAP and VAI are recommended over traditional obesity indices for improved prediction of early-onset T2DM risk.

Indexed as

Body mass indexChineseEarly-onset type 2 diabetesLipid accumulation productObesityVisceral adiposity indexWaist circumferenceYoung adult

Identifiers

PMID37237396
PMCPMC10223887
OpenAlexW4378515288

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.