Evidence map›Paper›PMID 35756734›Full record

ArticleClinical kidney journal2022

Cystatin C-based estimated GFR performs best in identifying individuals with poorer survival in an unselected Chinese population: results from the China Health and Retirement Longitudinal Study (CHARLS).

Cheng Zhu, Han Zhang, Ziyan Shen, Jing Chen, Yulu Gu, Shiqi Lv, Yang Li, Bowen Zhu, Xiaoqiang Ding, Xiaoyan Zhang

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-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

5 citing papers in PubMed, 7 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

10 authors at 1 institution in 1 country.

Cheng ZhuDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-7472-4974
Han ZhangDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Ziyan ShenDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Jing ChenDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yulu GuDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Shiqi LvDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yang LiDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Bowen ZhuDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoqiang DingDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Xiaoyan ZhangDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The decline in estimated glomerular filtration rate (eGFR) has been reported as a risk factor for mortality. However, it remains unclear which eGFR equation is most useful in predicting death in the general Chinese population. Methods: The association was examined between eGFR and all-cause mortality using data from the China Health and Retirement Longitudinal Study. Participants with complete data in 2011 and survival follow-up in 2013, 2015 and 2018 were included and analyzed in three separate cohorts, which included 8160, 8154 and 8020 participants, respectively. Logistic regression analyses, receiver operating characteristic curve, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were computed to compare the discriminative power of eGFR derived by abbreviated Modification of Diet in Renal Disease (MDRD), Chinese coefficient-modified MDRD (MDRD-CN), Japanese coefficient-modified MDRD (MDRD-JPN), CKD-EPI Results: A decreased eGFR (<60 ml/min/1.73 m Conclusions: A decline in eGFR by all equations could predict poorer survival, among which the CKD-EPI

Indexed as

all-cause mortalityAUCCKDcystatin CeGFR equation

Identifiers

PMID35756734
PMCPMC9217656
OpenAlexW4214806022

What OpenQuestion holds

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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.