Evidence map›Paper›PMID 31185945›Full record

ArticleBMC nephrology2019

Creatinine- and cystatin C-based estimated glomerular filtration rate slopes for the prediction of kidney outcome: a comparative retrospective study.

Suhyun Kim, Subin Hwang, Hye Ryoun Jang, Insuk Sohn, Hyeon Seon Ahn, Hyung-Doo Park, Wooseong Huh, Dong-Chan Jin, Yoon-Goo Kim, Dae Joong Kim and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

12 authors at 3 institutions in 1 country.

Suhyun KimDivision of Nephrology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, 06351, Seoul, Republic of Korea.
Subin HwangDepartment of Internal Medicine, Seoul Paik Hospital, Inje University College of Medicine, Seoul, Republic of Korea.
Hye Ryoun JangDivision of Nephrology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, 06351, Seoul, Republic of Korea.
Insuk SohnStatistics and Data Center, Samsung Medical Center, Seoul, Republic of Korea.
Hyeon Seon AhnStatistics and Data Center, Samsung Medical Center, Seoul, Republic of Korea.
Hyung-Doo ParkDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Wooseong HuhDivision of Nephrology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, 06351, Seoul, Republic of Korea.
Dong-Chan JinDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Yoon-Goo KimDivision of Nephrology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, 06351, Seoul, Republic of Korea.
Dae Joong KimDivision of Nephrology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, 06351, Seoul, Republic of Korea.
Ha Young OhDivision of Nephrology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, 06351, Seoul, Republic of Korea.
Jung Eun LeeDivision of Nephrology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, 06351, Seoul, Republic of Korea. jungeun34.lee@samsung.com.ORCID 0000-0002-4387-5291
Samsung Medical Center · KRCatholic University of Korea · KRInje University Seoul Paik Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany studies have evaluated the usefulness of creatinine- (eGFRcr) and cystatin C-based estimated glomerular filtration rate (eGFRcys) at specific time points in predicting renal outcome. This study compared the performance of both eGFR changing slopes in identifying patients at high risk of end-stage renal disease (ESRD).

methodsFrom 2012 to 2017, patients with more than three simultaneous measurements of serum creatinine and cystatin C for 1 year were identified. Rapid progression was defined as eGFR slope < - 5 mL/min/1.73 m

resultsOverall, 1323 patients were included. The baseline eGFRcr and eGFRcys were 39 (27-48) and 38 (27-50) mL/min/1.73 m

conclusionsBoth eGFR slopes were associated with future ESRD risk. The eGFRcr slope was comparable with the eGFRcys slope in predicting kidney outcome.

Indexed as

Glomerular Filtration RateKidney Failure, ChronicRenal Insufficiency, ChronicCreatinineCystatin CDisease ProgressionFemaleHumansMaleMiddle AgedOutcome and Process Assessment, Health CarePrognosisProportional Hazards ModelsRepublic of KoreaRetrospective StudiesRisk FactorsCreatinineCystatin CChronic kidney disease (CKD)Disease progressionEstimated glomerular filtration rate (eGFR)GFR slopeRenal outcomeSerum creatinineSerum cystatin C

Identifiers

PMID31185945
PMCPMC6558736
OpenAlexW2949179284

What OpenQuestion holds

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LicenceCC BY
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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.