Evidence map›Paper›PMID 24244543›Full record

ArticlePloS one2013

A new equation to estimate glomerular filtration rate in Chinese elderly population.

Xun Liu, Yanni Wang, Cheng Wang, Chenggang Shi, Cailian Cheng, Jinxia Chen, Huijuan Ma, Linsheng Lv, Lin Li, Tanqi Lou

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

26 citing papers in PubMed, 1 synthesis or guideline 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

10 authors.

Xun LiuDivision of Nephrology, Department of Internal Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China ; College of Biomedical Engineering, South China University of Technology, Guangzhou, China.
Yanni Wang
Cheng Wang
Chenggang Shi
Cailian Cheng
Jinxia Chen
Huijuan Ma
Linsheng Lv
Lin Li
Tanqi Lou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe sought to develop a new equation to estimate glomerular filtration rate (GFR) in Chinese elderly population.

methodsA total of 668 Chinese elderly participants, including the development cohort (n = 433), the validation cohort (n = 235) were enrolled. The new equation using the generalized additive model, and age, gender, serum creatinine as predictor variables was developed and the performances was compared with the CKD-EPI equation.

resultsIn the validation data set, both bias and precision were improved with the new equation, as compared with the CKD-EPI equation (median difference, -1.5 ml/min/1.73 m(2) vs. 7.4 ml/min/1.73 m(2) for the new equation and the CKD-EPI equation, [P<0.001]; interquartile range [IQR] for the difference, 16.2 ml/min/1.73 m(2) vs. 19.0 ml/min/1.73 m(2) [P<0.001]), as were accuracies (15% accuracy, 40.4% vs. 30.6% [P = 0.02]; 30% accuracy, 71.1% vs. 47.2%, [P<0.001]; 50% accuracy, 90.2% vs. 75.7%, [P<0.001]), allowing improvement in GFR categorization (GFR category misclassification rate, 37.4% vs. 53.2% [P = <0.001]).

conclusionsA new equation was developed in Chinese elderly population. In the validation data set, the new equation performed better than the original CKD-EPI equation. The new equation needs further external validations. Calibration of the GFR referent standard to a more accurate one should be an useful way to improve the performance of GFR estimating equations.

Indexed as

Glomerular Filtration RateAgedAged, 80 and overAsian PeopleChinaFemaleHumansMaleMiddle AgedRenal Insufficiency, ChronicReproducibility of Results

Identifiers

PMID24244543
PMCPMC3823564

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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.