Evidence map›Paper›PMID 30729117›Full record

ArticleBioMed research international2018

Value of Estimated Glomerular Filtration Rate and Albuminuria in Predicting Cardiovascular Risk in Patients with Type 2 Diabetes without Cardiovascular Disease.

Thilak Weerarathna, Gayani Liyanage, Meththananda Herath, Miyuru Weerarathna, Isuru Amarasinghe

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In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 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

5 authors at 2 institutions in 1 country.

Thilak WeerarathnaProfessor in Medicine, Department of Medicine, Faculty of Medicine, University of Ruhuna, PO Box 70, Galle, Sri Lanka.ORCID 0000-0003-0047-6669
Gayani LiyanageSenior Lecturer in Pharmacology, Department of Pharmacology, Faculty of Medicine, University of Ruhuna, PO Box 70, Galle, Sri Lanka.ORCID 0000-0003-3601-0609
Meththananda HerathSenior Lecturer in Medicine, Department of Medicine, Faculty of Medicine, University of Ruhuna, PO Box 70, Galle, Sri Lanka.
Miyuru WeerarathnaMedical Student, Faculty of Medicine, University of Colombo, Sri Lanka.
Isuru AmarasingheLecturer in Pharmacology, Department of Pharmacology, Faculty of Medicine, University of Ruhuna, PO Box 70, Galle, Sri Lanka.ORCID 0000-0003-0342-3984
University of Ruhuna · LKUniversity of Colombo · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOnset of nephropathy in patients with type 2 diabetes (T2DM) increases the cardiovascular disease (CVD) risk. Association of the parameters of diabetic nephropathy such as albuminuria and estimated Glomerular filtration rate (eGFR) with predicted CVD risk has not been studied in Sri Lankan patients with T2DM.

methodsIn a cross-sectional study of patients who underwent single visit screening at a diabetes center in Sri Lanka, we obtained demographic and biochemical data. Those with urine albumin excretion over 30 mg/g creatinine were considered as having albuminuria, and eGFR was calculated using modified diet in renal disease (MDRD) formula. Ten-year coronary heart disease risk (CHDR) in all patients was calculated using United Kingdom Prospective Diabetes Study risk engine, and those with CHDR > 10% were considered as having high risk. Spearman correlation was used to study the association between eGFR and CHDR, and logistic regression analysis was carried out to study the association of albuminuria and eGFR with high (>10%) CHDR.

resultsOf the patients with diabetes studied (n=2434), 64% (1563) were males. Mean (SD) age and duration of diabetes were 52 (11) and 9 (3) years, respectively. Normoalbuminuria, microalbuminuria, and macroalbuminuria were observed in 16.4%, 14.8%, and 68.7% of patients, respectively. Three hundred ninety-four (16.2%) patients had eGFR < 60 ml/min. Moderate correlation was observed between eGFR and predicted CHDR [r = (-0.4), P<0.01] and between eGFR and fatal CHDR (FCHDR) [r = (-0.5), P<0.01]. Independent t-test showed that patients with eGFR < 60 ml/min were older and had longer diabetes duration and lesser BMI compared to those who had eGFR > 60 ml/min (P < 0.01). On logistic regression, nephropathy according to eGFR became a strong predictor for high CHDR (OR; 3.497, 95% CI 2.08 to 5.87), and nephropathy according to albuminuria and both albuminuria and eGFR was not significant predictor of CHDR.

conclusionsPredicted CHDR shows a moderate and significant association with eGFR in patients with T2DM without symptomatic CVD. eGFR is a stronger predictor than albuminuria in predicting high CHDR in patients with T2DM. Intensification of CVD prevention measures should be done more confidently among patients with T2DM and reduced eGFR than in those with albuminuria alone.

Indexed as

AlbuminuriaCardiovascular DiseasesCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleGlomerular Filtration RateHumansMaleMiddle AgedProspective StudiesRisk FactorsSri LankaUnited Kingdom

Identifiers

PMID30729117
PMCPMC6343162
OpenAlexW2905723079

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Registered trials

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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.