Evidence map›Paper›PMID 31690291›Full record

ArticleBMC endocrine disorders2019

The shape of the glucose response curve during an oral glucose tolerance test heralds β-cell function in a large Chinese population.

Xinqi Cheng, Na Yang, Yuxiu Li, Qi Sun, Ling Qiu, Lingling Xu, Fan Ping, Wei Li, Huabing Zhang

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

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  11. Silymarin Reduced Insulin Resistance in Non-Diabetic Women with Obesity.International journal of molecular sciences · 2024
    Article
  12. Sex Differences in Glucose Homeostasis.Handbook of experimental pharmacology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The Oral Glucose Tolerance Test: 100 Years Later.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    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

9 authors.

Xinqi ChengDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Na YangDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuxiu LiDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Qi SunDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Ling QiuDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Lingling XuDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Fan PingDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wei LiDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Huabing ZhangDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. huabingzhangchn@163.com.ORCID http://orcid.org/0000-0001-6259-7584

Funding

Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences CIFMS2016-I2M-4-001National Natural Science Foundation of China 71432004National Natural Science Foundation of China 91846106Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2017PT32020Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2018PT32001Training Program for Excellent Talents in Dongcheng District TPETDD
6 · The paper itself

Abstract

backgroundThe shape of the glucose response curve during an oral glucose tolerance test (OGTT) can predict β-cell function and insulin resistance. However, there have been few studies conducted on Chinese people. Thus, we aimed to verify the usefulness of the glucose response curve in a large Chinese population.

methodsA total of 9059 OGTT (3-h tests) were categorized into either a monophasic or a multiphasic group based on the shape of the glucose response. Homeostasis model assessments of fasting insulin resistance, the Matsuda Index, the insulinogenic index, and the disposition index were assessed by plasma glucose and serum insulin concentration obtained at fasting or during an OGTT.

resultsThe shape of the OGTT glucose response curve was monophasic in 87.3% and multiphasic in 12.7% of participants. Individuals in the multiphasic group were younger compared to those in the monophasic group (38.6 ± 13.6 vs. 35.4 ± 13.5, P < 0.001). Individuals in the monophasic group had significantly higher fasting plasma glucose (FPG 5.6 ± 13.5 vs. 5.2 ± 0.6, P < 0.001), fasting insulin (FINS 14.8 ± 8.7 vs. 13.5 ± 7.9, P < 0.01), and homeostasis model assessment of insulin resistance (HOMA-IR 3.8 ± 2.6 vs. 3.1 ± 2.0, P < 0.001) and impaired β-cell function (disposition index 12.7 ± 14.1 vs. 16.6 ± 17.8, P < 0.001) compared to those in the multiphasic group.

conclusionThe monophasic OGTT glucose response curve could reflect impaired β-cell function in a large Chinese population.

Indexed as

AdultBiomarkersBlood GlucoseChinaDiabetes Mellitus, Type 2FemaleFollow-Up StudiesGlucose Tolerance TestHumansInsulinInsulin ResistanceInsulin-Secreting CellsMalePrognosisBiomarkersBlood GlucoseInsulinChineseGlucose response curveOGTT

Identifiers

PMID31690291
PMCPMC6833144

What OpenQuestion holds

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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.