Evidence map›Paper›PMID 27181567›Full record

ArticleJournal of diabetes investigation2016

Ideal glycated hemoglobin cut-off points for screening diabetes and prediabetes in a Chinese population.

Yujia Liu, Xianchao Xiao, Chenglin Sun, Suyan Tian, Zhonghua Sun, Ying Gao, Yazhen Li, Jie Cheng, You Lv, Mei Li and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  9. Glycated Hemoglobin in the Diagnosis of Diabetes Mellitus in a Semi-Urban Brazilian Population.International journal of environmental research and public health · 2019
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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

18 authors at 1 institution in 1 country.

Yujia LiuDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Xianchao XiaoDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Chenglin SunDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Suyan TianEpidemiology, The First Hospital of Jilin University, Changchun, China.
Zhonghua SunDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Ying GaoDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Yazhen LiDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Jie ChengDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
You LvDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Mei LiDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Zhuo LiDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Yumin ZhangDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Gang WangDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Yang LiuDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Yuan GaoDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Liwen ZhuDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Yan LiuDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Guixia WangDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionThe aims of the present study were to evaluate the diagnostic value of fasting plasma glucose, 2-h postload plasma glucose and glycosylated hemoglobin (HbA1c) measurements in the screening of diabetes and prediabetes, and to determine the cut-off point of HbA1c in the diagnosis of diabetes and prediabetes in a Chinese population. MATERIALS AND

methodsA total of 7,611 individuals aged 40 years or older, who did not have a prior history of diabetes, were randomly selected in the Changchun area. For each participant, a questionnaire was completed, and a physical examination and an oral glucose tolerance test were carried out. The values of fasting plasma glucose, 2-h postload plasma glucose and HbA1c were compared by area under the receiver operating characteristic curves. The Youden index was used to identify the optimal cut-off point of HbA1c in the diagnosis of diabetes and prediabetes.

resultsThe prevalence of newly diagnosed diabetes and prediabetes was 12.71% and 29.39%, respectively. In participants with newly diagnosed diabetes, the area under the receiver operating characteristic curve was 0.8368 for fasting plasma glucose, 0.9330 for 2-h postload plasma glucose and 0.8064 for HbA1c; whereas for prediabetes, these values were 0.8022, 0.9288 and 0.6895, respectively. In addition, an HbA1c threshold of 6.3% showed the highest Youden index (0.4799) for detecting diabetes; furthermore, an HbA1c threshold of 5.8% showed the highest Youden index (0.2866) for detecting prediabetes.

conclusionsHbA1c ≥6.3% (45 mmol/mol) and between 5.8% and 6.2% (40-44 mmol/mol) were the optimal cut-off values for the diagnosis of diabetes and prediabetes, respectively, in a Chinese population.

Indexed as

AgedBlood GlucoseChinaDiabetes MellitusFemaleGlycated HemoglobinHumansMaleMass ScreeningMiddle AgedPrediabetic StateReference ValuesROC CurveBlood GlucoseGlycated HemoglobinChinese adultsReceiver operating characteristic curvesType 2 diabetes mellitus

Identifiers

PMID27181567
PMCPMC5009131
OpenAlexW2345683057

What OpenQuestion holds

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LicenceCC BY-NC
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.