Evidence map›Paper›PMID 27125433›Full record

ArticleClinical and experimental nephrology2017

Performance of the creatinine and cystatin C-based equations for estimation of GFR in Chinese patients with chronic kidney disease.

Min Yang, Guang Xu, Lilu Ling, Jianying Niu, Tong Lu, Xin Du, Yong Gu

Abstract readComparative StudyValidation Study
PubMed Publisher
In one paragraph

Article in Clinical and experimental nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Estimated GFR: time for a critical appraisal.Nature reviews. Nephrology · 2019
    Review
  8. New insight into the management of IgA nephropathy.Clinical and experimental nephrology · 2018
    Article
  9. Article
  10. Review
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.

Min YangDivision of Nephrology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Guang XuDivision of Nephrology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Lilu LingDivision of Nephrology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Jianying NiuDivision of Nephrology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Tong LuDivision of Nuclear Medicine, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China.
Xin DuDivision of Nephrology, Nanjing First Hospital, Nanjing Medical University, Chang Le Road 68, Nanjing, 210006, China. duxin168@163.com.ORCID http://orcid.org/0000-0002-7273-2337
Yong GuDivision of Nephrology, Shanghai Fifth People's Hospital, Fudan University, Shanghai, China. yonggu@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, creatinine- or cystatin C-based glomerular filtration rate (GFR) estimation equation has been recommended to assess GFR in CKD patients. However, it is still obscure whether those equations performed consistently outstandingly in Chinese population.

methodsThe equations were validated in a population totaling 632 participants (mean age 61.6 ± 12.3 years). The estimated GFR (eGFR) calculated separately by six equations (C-MDRD, C

resultsCKD-EPI

conclusionCKD-EPI

Indexed as

Glomerular Filtration RateModels, BiologicalAdultAgedAged, 80 and overAge FactorsArea Under CurveAsian PeopleBiomarkersChinaCreatinineCystatin CFemaleHumansKidneyMaleBiomarkersCreatinineCST3 protein, humanCystatin CRadiopharmaceuticalsTechnetium Tc 99m PentetateChinese populationCreatinineCystatin CEquationGlomerular filtration rate

Identifiers

What OpenQuestion holds

Textmetadata
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.