Evidence map›Paper›PMID 31636737›Full record

ArticleDisease markers2019

Comparison of Performance of Equations for Estimated Glomerular Filtration Rate in Chinese Patients with Biopsy-Proven Diabetic Nephropathy.

Yiting Wang, Junlin Zhang, Geer Teng, Yucheng Wu, Qianqian Han, Hanyu Li, Tingli Wang, Fang Liu

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Yiting WangDivision of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.
Junlin ZhangDivision of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.
Geer TengThe Faculty of Social Development and Western China Development Studies, Sichuan University, China.
Yucheng WuDivision of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.
Qianqian HanDivision of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.
Hanyu LiDivision of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.
Tingli WangDivision of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.
Fang LiuDivision of Nephrology, West China Hospital of Sichuan University, Chengdu 610041, China.ORCID https://orcid.org/0000-0003-1121-3004
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe performance of various equations for estimated glomerular filtration rate (eGFR) in patients with diabetes remains controversial. We aimed to evaluate the performance of equations for eGFR in Chinese patients with diabetic nephropathy (DN).

methodsThis is a retrospective study included in 308 patients with type 2 diabetes and biopsy-proven DN who were followed up at least one year. eGFR was calculated using chronic kidney disease epidemiology (CKD-EPI) equations based on serum creatinine (eGFR

resultsOverall, the proportion of patients with eGFR < 60 mL/min/1.73m

conclusioneGFR equations incorporating cystatin C are superior to eGFR based on creatinine alone for detecting kidney injury in the early stage. The independent association between cystatin C and glomerular classifications might contribute to it.

Indexed as

Glomerular Filtration RateAlgorithmsBiopsyChinaCreatinineCystatin CDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleHumansKidney Failure, ChronicMaleMiddle AgedMultivariate AnalysisRegression AnalysisReproducibility of ResultsCreatinineCystatin C

Identifiers

PMID31636737
PMCPMC6766097
OpenAlexW2973008787

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.