Evidence map›Paper›PMID 25814074›Full record

ArticleSingapore medical journal2015

Predictors of poor glycaemic control in older patients with type 2 diabetes mellitus.

Shariff-Ghazali Sazlina, Ismail Mastura, Ai Theng Cheong, Adam Bujang Mohamad, Haniff Jamaiyah, Ping Yein Lee, Syed Abdul Rahman Syed Alwi, Boon How Chew

Open access · diamondAbstract read
In one paragraph

Article in Singapore medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Predictor factors of uncontrolled diabetes.BMC endocrine disorders · 2025
    Pooled it
  2. Hypertension in Adults With Diabetes in Southeast Asia: A Systematic Review.Journal of clinical hypertension (Greenwich, Conn.) · 2025
    Pooled it
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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

8 authors at 2 institutions in 1 country.

Shariff-Ghazali SazlinaDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia ; Institute of Gerontology, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Ismail MasturaSeremban 2 Health Clinic, Seremban, Negeri Sembilan, Malaysia.
Ai Theng CheongDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Adam Bujang MohamadBiostatistics Unit, National Clinical Research Centre, Ministry of Health, Kuala Lumpur, Malaysia.
Haniff JamaiyahClinical Epidemiology Unit, National Clinical Research Centre, Ministry of Health, Kuala Lumpur, Malaysia.
Ping Yein LeeDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Syed Abdul Rahman Syed AlwiDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak, Kuching, Sarawak, Malaysia.
Boon How ChewDepartment of Family Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Universiti Putra Malaysia · MYMinistry of Health · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe assessed the predictors of poor glycaemic control among older patients with type 2 diabetes mellitus (T2DM) in Malaysia.

methodsThis cross-sectional study used the data of 21,336 patients aged ≥ 60 years with T2DM from the Adult Diabetes Control and Management Registry 2008-2009.

resultsPredictors of poor glycaemic control were: age groups 60-69 years (odds ratio [OR] 1.96, 95% confidence interval [CI] 1.66-2.33) and 70-79 years (OR 1.43, 95% CI 1.20-1.71); Malay (OR 1.53, 95% CI 1.41-1.66) and Indian (OR 1.32, 95% CI 1.19-1.46) ethnicities; T2DM durations of 5-10 years (OR 1.46, 95% CI 1.35-1.58) and > 10 years (OR 1.75, 95% CI 1.59-1.91); the use of oral antidiabetic agents only (OR 5.86, 95% CI 3.32-10.34), insulin only (OR 17.93, 95% CI 9.91-32.43), and oral antidiabetic agents and insulin (OR 29.42, 95% CI 16.47-52.53); and elevated blood pressure (OR 1.10, 95% CI 1.01-1.20), low-density lipoprotein cholesterol (OR 1.48, 95% CI 1.38-1.59) and triglycerides (OR 1.61, 95% CI 1.51-1.73). Hypertension (OR 0.71, 95% CI 0.64-0.80), hypertension and dyslipidaemia (OR 0.68, 95% CI 0.61-0.75), pre-obesity (OR 0.89, 95% CI 0.82-0.98) and obesity (OR 0.76, 95% CI 0.70-0.84) were less likely to be associated with poor glycaemic control.

conclusionYoung-old and middle-old age groups (i.e. < 80 years), Malay and Indian ethnicities, longer T2DM duration, the use of pharmacological agents, and elevated blood pressure and lipid levels were associated with poor glycaemic control. The presence of comorbidities, pre-obesity and obesity were less likely to be associated with poor glycaemic control.

Indexed as

AgedAged, 80 and overAsian PeopleBlood PressureCholesterol, LDLComorbidityCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHyperglycemiaHypertensionHypoglycemic AgentsInsulinMaleCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulinTriglyceridesdiabetes mellitusglycaemic controlMalaysiaolder patientsregistry

Identifiers

PMID25814074
PMCPMC4447931
OpenAlexW272388378

What OpenQuestion holds

Textmetadata
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.