Evidence map›Paper›PMID 38059349›Full record

ArticleDiabetes & vascular disease research

Longitudinal profiling and tracking stability in the Singapore study of macro-angiopathy and microvascular reactivity in type 2 diabetes cohort.

Serena Low, Huili Zheng, Jian-Jun Liu, Angela Moh, Keven Ang, Wern Ee Tang, Ziliang Lim, Tavintharan Subramaniam, Chee Fang Sum, Su Chi Lim

Open access · diamondAbstract read
In one paragraph

Article in Diabetes & vascular disease research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

10 authors at 4 institutions in 1 country.

Serena LowDiabetes Centre, Admiralty Medical Centre, Singapore.
Huili ZhengClinical Research Unit, Khoo Teck Puat Hospital, Singapore.ORCID 0000-0002-3976-0088
Jian-Jun LiuClinical Research Unit, Khoo Teck Puat Hospital, Singapore.ORCID 0000-0002-3361-7512
Angela MohClinical Research Unit, Khoo Teck Puat Hospital, Singapore.
Keven AngClinical Research Unit, Khoo Teck Puat Hospital, Singapore.
Wern Ee TangNational Healthcare Group Polyclinics, Singapore.
Ziliang LimNational Healthcare Group Polyclinics, Singapore.
Tavintharan SubramaniamClinical Research Unit, Khoo Teck Puat Hospital, Singapore.ORCID 0000-0002-5365-8899
Chee Fang SumClinical Research Unit, Khoo Teck Puat Hospital, Singapore.
Su Chi LimDiabetes Centre, Admiralty Medical Centre, Singapore.
Khoo Teck Puat Hospital · SGSingHealth Polyclinics · SGNanyang Technological University · SGNational University of Singapore · SG

Funding

Medical Research Council MOH-000066
6 · The paper itself

Abstract

introductionThe Singapore Study of Macro-Angiopathy and microvascular Reactivity in Type 2 Diabetes (SMART2D) is a prospective cohort study which was started in 2011 to investigate the effect of risk factors on vascular function and diabetes-related complications in Asians. We aimed to compare the longitudinal change in risk factors by accounting for batch effect and assess the tracking stability of risk factors over time in patients recruited for SMART2D. In this study, we (1) described batch effect and its extent across a heterogenous range of longitudinal data parameters; (2) mitigated batch effect through statistical approach; and (3) assessed the tracking stability of the risk factors over time.

methodsA total of 2258 patients with type 2 diabetes mellitus (T2DM) were recruited at baseline. The study adopted a three-wave longitudinal design with intervals of 3 years between consecutive waves. The changes in a few selected risk factors were assessed after calibration, assuming patients with similar demographic and anthropometry profile had similar physiology. The tracking pattern of the risk factors was determined with stability coefficients derived from generalised estimating equations.

resultsThe medians of the longitudinal differences in risk factors between the waves were mostly modest at <10%. Larger increases in augmentation index (AI), aortic systolic blood pressure (BP) and aortic mean BP were consistently observed after calibration. The medians of the longitudinal differences in AI, aortic systolic BP and aortic mean BP between the waves were <2% before calibration, but increased slightly to <5% after calibration. Most of the risk factors had moderate to high tracking stability. Muscle mass and serum creatinine were among those with relatively high tracking stability.

conclusionsThe longitudinal differences in parameters between the waves were overall modest after calibration, suggesting that calibration may attenuate longitudinal differences inflated by non-biological factors such as systematic drift due to batch effect. Changes of the hemodynamic parameters are robust over time and not entirely attributable to age. Our study also demonstrated moderate to high tracking stability for most of the parameters.

Indexed as

Diabetes Mellitus, Type 2HypertensionBlood PressureHumansLongitudinal StudiesProspective StudiesRisk FactorsSingaporebatch effectCalibrationlongitudinal measurementsstability

Identifiers

PMID38059349
PMCPMC10704954
OpenAlexW4389440682

What OpenQuestion holds

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LicenceCC BY-NC
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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.