Evidence map›Paper›PMID 35387610›Full record

ArticleBMC pregnancy and childbirth2022

Prediction of gestational diabetes mellitus by different obesity indices.

Zhimin Song, Yan Cheng, Tingting Li, Yongfang Fan, Qingying Zhang, Haidong Cheng

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Risk Factors for Gestational Diabetes Mellitus in Mainland China: A Systematic Review and Meta-Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
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.

Zhimin Song *Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, People's Republic of China.
Yan Cheng *Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China.
Tingting LiObstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China.
Yongfang FanDepartment of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, People's Republic of China.
Qingying ZhangObstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China.
Haidong ChengObstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China. hdcheng_2003@163.com.

Funding

National Natural Science Foundation of China 81871184
6 · The paper itself

Abstract

backgroundThe incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed.

methodsA total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13

resultsA total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62-0.64) for the AC, 0.64 (95% CI: 0.62-0.65) for the ACHtR and 0.63 (95% CI: 0.62-0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM.

conclusionsAn increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM.

Indexed as

Diabetes, GestationalBlood GlucoseBody Mass IndexChinaFemaleGlucose Tolerance TestHumansObesityPregnancyPregnancy Trimester, FirstRisk FactorsBlood GlucoseAbdominal circumferenceAbdominal circumference height ratioFirst trimester pregnancyGestational diabetes mellitusObesity indicesReceiver operator characteristic

Identifiers

PMID35387610
PMCPMC8988347

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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.