Evidence map›Paper›PMID 24868463›Full record

ArticleInternational journal of nephrology2014

Comparison of CKD-EPI Cystatin C and Creatinine Glomerular Filtration Rate Estimation Equations in Asian Indians.

Boon Wee Teo, Charumathi Sabanayagam, Jiemin Liao, Qi Chun Toh, Sharon Saw, Tien Yin Wong, Sunil Sethi

Open access · goldAbstract read
In one paragraph

Article in International journal of nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 12 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

7 authors at 4 institutions in 1 country.

Boon Wee TeoDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 1E Kent Ridge Road, Level 10 NUHS Tower Block, Singapore 119228.
Charumathi SabanayagamSingapore Eye Research Institute, c/o Singapore National Eye Center, 11 Third Hospital Avenue, Singapore 168751 ; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 1E Kent Ridge Road, NUHS Tower Block, Singapore 119228 ; Office of Clinical Sciences, Duke-NUS Graduate Medical School, National University of Singapore, 8 College Road, Singapore 169857.
Jiemin LiaoDepartment of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 1E Kent Ridge Road, NUHS Tower Block, Singapore 119228.
Qi Chun TohDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 1E Kent Ridge Road, Level 10 NUHS Tower Block, Singapore 119228.
Sharon SawDepartment of Laboratory Medicine, National University Hospital and National University Health System, 5 Lower Kent Ridge Road, Singapore 119074.
Tien Yin WongSingapore Eye Research Institute, c/o Singapore National Eye Center, 11 Third Hospital Avenue, Singapore 168751 ; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 1E Kent Ridge Road, NUHS Tower Block, Singapore 119228 ; Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Graduate Medical School, National University of Singapore, 8 College Road, Singapore 169857.
Sunil SethiDepartment of Pathology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 1E Kent Ridge Road, Level 10 NUHS Tower Block, Singapore 119228.
National University Health System · SGNational University of Singapore · SGSingapore Eye Research Institute · SGSingapore National Eye Center · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Chronic kidney disease (CKD) is identified in the general population using estimated glomerular filtration rates (eGFR) calculated from a serum creatinine-based equation, the chronic kidney disease-epidemiology collaboration (CKD-EPI) equation. Using serum cystatin C in combination may improve eGFR accuracy. We evaluated the new CKD-EPI equations incorporating cystatin C in a population of Asian Indians in classifying CKD across body mass index, diabetes, and hypertension status. Methods. We retrieved standardized serum creatinine and serum cystatin C data from a cohort of 2877 Asian Indians aged 40-80 years from the Singapore Indian Eye Study and calculated eGFR (in mL/min/1.73 m(2)) with the new CKD-EPI equations and serum creatinine only equation. Results. The creatinine only equation mean eGFR (88 ± 17) was similar to using spline Log cystatin C (88 ± 22). The lowest mean eGFR (81 ± 21) was obtained with the spline Log cystatin C-age, sex, and weight equation. The creatinine only equation had the fewest participants (7.1%) with eGFR <60 and spline Log cystatin C-age, sex, and weight equation had the most (16.1%). Conclusions. Using serum cystatin C resulted in widely varying eGFR which significantly affected the classification of chronic kidney disease.

Identifiers

PMID24868463
PMCPMC4020461
OpenAlexW2119918395

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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.