Evidence map›Paper›PMID 33304930›Full record

ArticleFrontiers in cardiovascular medicine2020

Cystatin C-Based Renal Function in Predicting the Long-Term Outcomes of Chronic Total Occlusion After Percutaneous Coronary Intervention.

Bolin Li, Jie Rong, Bobo Wang, Ke Gao, Xing Wen, Hongbing Li, Lele Cheng, Yi-Ming Hua, Shanshan Li, Zhijie Jian and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

15 authors at 6 institutions in 1 country.

Bolin LiDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jie RongDepartment of Encephalopathy, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, China.
Bobo WangHealth Science Center, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Ke GaoDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xing WenThe Center of Gastrointestinal and Minimally Invasive Surgery, The Third People's Hospital of Chengdu, Chengdu, China.
Hongbing LiDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lele ChengDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yi-Ming HuaDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Shanshan LiDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zhijie JianDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yujing ZhangCardiovascular Department, The General Hospital of Ningxia Medical University, Yinchuan, China.
Hui HuangCardiovascular Department, The General Hospital of Ningxia Medical University, Yinchuan, China.
Youlong PanCardiovascular and Cerebrovascular Diseases Hospital of Qinghai Province, Xining, China.
Yue WuDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiao-Zhen ZhuoDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNNingxia Medical University · CNAffiliated Hospital of Shaanxi University of Chinese Medicine · CNChengdu Third People's Hospital · CNQinghai No.3 People's Hospital · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal function estimated by various biomarkers predicting for adverse cardiovascular events has not been well-identified in received percutaneous coronary intervention (PCI) for chronic total occlusion (CTO), the advanced stages of atherosclerosis. We aim to determine whether the serum cystatin C-based-estimated glomerular filtration rate (eGFR) can have an improved predictive value in patients with CTO lesions undergoing PCI as compared with multiple creatinine-based estimates of kidney function. Six hundred and seventy-one patients received CTO PCI were retrospectively included in the study. The eGFR was calculated by modification of diet in renal disease equation for Chinese (cMDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations at baseline, respectively. Then, the cohort was categorized into three groups according to standard KDIGO kidney stages based on eGFR. The primary endpoint was all-cause mortality, and the secondary endpoint was cardiac death. Strikingly, cystatin C-based eGFR showed a better performance with the greater area being under the receiver operating characteristic (ROC) curve (0.73 for all-cause mortality and 0.73 for cardiac death, separately) and a better assessment for survival free from adverse event across renal levels among four eGFR equations. Compared with eGFR calculated by other formulas, serum cystatin C-based eGFR showed the highest prognostic value for both all-cause mortality (adjusted HR 3.6, 95% CI 1.6-8.1,

Indexed as

all-cause mortalitycardiac deathchronic total occlusioncreatininecystatin Cestimated glomerular filtration rate

Identifiers

PMID33304930
PMCPMC7693449
OpenAlexW3101935557

What OpenQuestion holds

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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.