Evidence map›Paper›PMID 33762850›Full record

ArticleClinical epidemiology2021

Establishment of the SingHealth Diabetes Registry.

Daniel Yan Zheng Lim, Sing Yi Chia, Hanis Abdul Kadir, Nur Nasyitah Mohamed Salim, Yong Mong Bee

2 registry-linked trialsAbstract read
In one paragraph

Article in Clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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.

NCT06607497 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Better Risk Perception Via Patient Similarity to Control Hyperglycemia and Sustained by Telemonitoring

TypeinterventionalSponsorSingHealth PolyclinicsRan2024 to 2026Enrolled360ConditionsDiabetes Mellitus, Type 2ArmsIntervention using an AI enabled risk communication tool (PERDICT.AI), Telemonitoring with Primary Tech Enhanced Care (PTEC-DM)
NCT06837428 nacompletednot on this mapstarted 2023, after this paper: background citation

Peer Comparison-based Risk Communication (PRICOM): A Study Protocol to Evaluate the Feasibility of Delivering a Risk Communication Intervention in the Primary Care Setting for Adults With Type 2 Diabetes Mellitus

TypeinterventionalSponsorSingHealth PolyclinicsRan2023 to 2024Enrolled40ConditionsDiabetes Type 2ArmsPeer comparison-based Risk Communication (PRICOM)
3 · Its place in the literature

Who cites it

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

  1. Hypertension in Adults With Diabetes in Southeast Asia: A Systematic Review.Journal of clinical hypertension (Greenwich, Conn.) · 2025
    Pooled it
  2. The burden of diabetic foot ulcers in a multi-ethnic Asian cohort.Diabetic medicine : a journal of the British Diabetic Association · 2026
    Observational
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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

5 authors.

Daniel Yan Zheng LimHealth Services Research Unit, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0002-9715-6970
Sing Yi ChiaHealth Services Research Unit, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0002-7591-3141
Hanis Abdul KadirHealth Services Research Unit, Singapore General Hospital, Singapore, Singapore.
Nur Nasyitah Mohamed SalimHealth Services Research Unit, Singapore General Hospital, Singapore, Singapore.
Yong Mong BeeDepartment of Endocrinology, Singapore General Hospital, Singapore, Singapore.ORCID 0000-0002-5482-2646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo describe the inception and structure of the SingHealth Diabetes Registry (SDR) as well as the methodology used to set up the registry. The SDR was established to facilitate systematic and standardized data collection for diabetes mellitus within Singapore Health Services (SingHealth), which is an Academic Medical Center (AMC) and Singapore's largest group of healthcare institutions. The diabetes casemix and outcome variables within the registry cohort are also provided. MATERIALS AND

methodsThe SDR is built from SingHealth's electronic medical records (EMR) and clinical databases. It covers all individuals aged 18 and above with diabetes mellitus, excluding those with pre-diabetes. Cases are annually ascertained using criteria that include diagnosis codes, prescription records and laboratory test records. Data collection of casemix and outcome variables for the period 2013 to 2019 is complete.

resultsThe SDR stands at 208,102 ascertained individuals, distributed across 8 healthcare sites within the AMC. The cohort is broadly reflective of the local gender and ethnic compositions but has a high proportion of older individuals with a mean age of 65.8 ± 13.7 years. Majority (>99%) have type 2 diabetes mellitus, with multiple other comorbidities (hypertension 84.1%, hyperlipidemia 86.2%, established cardiovascular disease 34.1%). At present, majority of individuals are able to meet key process indicators and 52.7% have a mean HbA1c of <7% (53 mmol/mol). Areas of potential improvement include increasing eye and foot screening rates, as well as glycemic control for the 19.5% of individuals with mean HbA1c >8% (64 mmol/mol).

conclusionThe SDR is a large-scale, comprehensive, and representative diabetes registry that incorporates EMR data across the primary and hospital-based care continuum, in a major AMC in Singapore. The SDR has identified areas of improvement in diabetes processes and outcomes. It will support future quality assessment and improvements in diabetes care.

Indexed as

diabetes mellituselectronic data processingepidemiology

Identifiers

PMID33762850
PMCPMC7982443

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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.