Evidence map›Paper›PMID 32722720›Full record

ArticlePLoS medicine2020

Obesity, clinical, and genetic predictors for glycemic progression in Chinese patients with type 2 diabetes: A cohort study using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank.

Guozhi Jiang, Andrea O Luk, Claudia H T Tam, Eric S Lau, Risa Ozaki, Elaine Y K Chow, Alice P S Kong, Cadmon K P Lim, Ka Fai Lee, Shing Chung Siu and 20 more

Open access · goldFull text read
In one paragraph

Article in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 49 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

30 authors at 10 institutions in 3 countries.

Guozhi JiangDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
Andrea O LukDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.ORCID 0000-0002-5244-6069
Claudia H T TamDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.ORCID 0000-0002-9169-0013
Eric S LauAsia Diabetes Foundation, Hong Kong, China.
Risa OzakiDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.ORCID 0000-0002-2564-0560
Elaine Y K ChowDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.ORCID 0000-0002-4147-3387
Alice P S KongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.ORCID 0000-0001-8927-6764
Cadmon K P LimDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
Ka Fai LeeDepartment of Medicine and Geriatrics, Kwong Wah Hospital, Hong Kong, China.
Shing Chung SiuDiabetes Centre, Tung Wah Eastern Hospital, Hong Kong, China.
Grace HuiDiabetes Centre, Tung Wah Eastern Hospital, Hong Kong, China.
Chiu Chi TsangDiabetes and Education Centre, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, China.
Kam Piu LauNorth District Hospital, Hong Kong, China.
Jenny Y Y LeungDepartment of Medicine and Geriatrics, Ruttonjee Hospital, Hong Kong, China.
Man-Wo TsangDepartment of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China.
Grace KamDepartment of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China.
Ip Tim LauTseung Kwan O Hospital, Hong Kong, China.ORCID 0000-0001-7136-407X
June K LiDepartment of Medicine, Yan Chai Hospital, Hong Kong, China.ORCID 0000-0002-3108-1048
Vincent T YeungCentre for Diabetes Education and Management, Our Lady of Maryknoll Hospital, Hong Kong, China.ORCID 0000-0002-7572-7613
Emmy LauDepartment of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China.
Stanley LoDepartment of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China.
Samuel K S FungDepartment of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong, China.
Yuk Lun ChengDepartment of Medicine, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, China.
Chun Chung ChowDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
Ewan R PearsonDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, Scotland, United Kingdom.ORCID 0000-0001-9237-8585
Wing Yee SoDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
Juliana C N ChanDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.ORCID 0000-0003-1325-1194
Ronald C W MaDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.ORCID 0000-0002-1227-803X
Hong Kong Diabetes Register TRS Study Group
Hong Kong Diabetes Biobank Study Group
Chinese University of Hong Kong · HKPamela Youde Nethersole Eastern Hospital · CNAlice Ho Miu Ling Nethersole Hospital · CNTung Wah Eastern Hospital · CNUnited Christian Hospital · CNKwong Wah Hospital · CNOur Lady of Maryknoll Hospital · CNRuttonjee Hospital · CNTseung Kwan O Hospital · CNUniversity of Dundee · GB

Funding

Wellcome TrustWellcome Trust 102820/Z/13/Z
6 · The paper itself

Abstract

backgroundType 2 diabetes (T2D) is a progressive disease whereby there is often deterioration in glucose control despite escalation in treatment. There is significant heterogeneity to this progression of glycemia after onset of diabetes, yet the factors that influence glycemic progression are not well understood. Given the tremendous burden of diabetes in the Chinese population, and limited knowledge on factors that influence glycemia, we aim to identify the clinical and genetic predictors for glycemic progression in Chinese patients with T2D. METHODS AND

findingsIn 1995-2007, 7,091 insulin-naïve Chinese patients (mean age 56.8 ± 13.3 [SD] years; mean age of T2D onset 51.1 ± 12.7 years; 47% men; 28.4% current or ex-smokers; median duration of diabetes 4 [IQR: 1-9] years; mean HbA1c 7.4% ± 1.7%; mean body mass index [BMI] 25.3 ± 4.0 kg/m2) were followed prospectively in the Hong Kong Diabetes Register. We examined associations of BMI and other clinical and genetic factors with glycemic progression defined as requirement of continuous insulin treatment, or 2 consecutive HbA1c ≥8.5% while on ≥2 oral glucose-lowering drugs (OGLDs), with validation in another multicenter cohort of Hong Kong Diabetes Biobank. During a median follow-up period of 8.8 (IQR: 4.8-13.3) years, incidence of glycemic progression was 48.0 (95% confidence interval [CI] 46.3-49.8) per 1,000 person-years with 2,519 patients started on insulin. Among the latter, 33.2% had a lag period of 1.3 years before insulin was initiated. Risk of progression was associated with extremes of BMI and high HbA1c. On multivariate Cox analysis, early age at diagnosis, microvascular complications, high triglyceride levels, and tobacco use were additional independent predictors for glycemic progression. A polygenic risk score (PRS) including 123 known risk variants for T2D also predicted rapid progression to insulin therapy (hazard ratio [HR]: 1.07 [95% CI 1.03-1.12] per SD; P = 0.001), with validation in the replication cohort (HR: 1.24 [95% CI 1.06-1.46] per SD; P = 0.008). A PRS using 63 BMI-related variants predicted BMI (beta [SE] = 0.312 [0.057] per SD; P = 5.84 × 10-8) but not glycemic progression (HR: 1.01 [95% CI 0.96-1.05] per SD; P = 0.747). Limitations of this study include potential misdiagnosis of T2D and lack of detailed data of drug use during follow-up in the replication cohort.

conclusionsOur results show that approximately 5% of patients with T2D failed OGLDs annually in this clinic-based cohort. The independent associations of modifiable and genetic risk factors allow more precise identification of high-risk patients for early intensive control of multiple risk factors to prevent glycemic progression.

Indexed as

Polymorphism, Single NucleotideAdultAgedAsian PeopleBiological Specimen BanksBlood GlucoseBody Mass IndexCholesterol, HDLCohort StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHong KongHumansMaleMetforminBlood GlucoseCholesterol, HDLGlycated Hemoglobinhemoglobin A1c protein, humanMetformin

Identifiers

PMID32722720
PMCPMC7386560
OpenAlexW3045623812

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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.