Evidence map›Paper›PMID 29069842›Full record

ArticleOncotarget2017

The diagnostic value of serum creatinine and cystatin c in evaluating glomerular filtration rate in patients with chronic kidney disease: a systematic literature review and meta-analysis.

Xilian Qiu, Chunyong Liu, Yuqiu Ye, Huiqun Li, Yanbing Chen, Yongmei Fu, Zhenjie Liu, Xianzhang Huang, Yunqiang Zhang, Xueyuan Liao and 3 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
–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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

13 authors.

Xilian Qiu *Department of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chunyong Liu *Department of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Yuqiu Ye *Department of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Huiqun LiDepartment of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yanbing ChenMedical genetic center, Guangdong Women And Children Hospital, Guangzhou, Guangdong, China.
Yongmei FuDepartment of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhenjie LiuDepartment of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Xianzhang HuangDepartment of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
Yunqiang ZhangDivision of Nephrology, The 3rd Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou, China.
Xueyuan LiaoDivision of Nephrology, The 3rd Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou, China.
Hongyong Liu *Division of Nephrology, The 3rd Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou, China.
Wenbo ZhaoDepartment of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xun LiuDivision of Nephrology, The 3rd Affiliated Hospital of Sun Yat-sen University, Yuedong Hospital, Meizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerum biomarkers, such as serum creatinine (SCr) and serum cystatin C (SCysC), have been widely used to evaluate renal function in patients who have chronic kidney disease (CKD).

objectiveThis article aims to assess the value of determining SCr and SCysC levels in patients that have long-term kidney disease. Approaches: MEDLINE, EmBase, the Cochrane Library and other databases were searched using both MeSH terms and text words to collect research that assessed the diagnostic value of using SCr and SCysC to evaluate Glomerular Filtration Rate (GFR) in patients with CKD. Data were converted into fourfold tables. Summary Receiver Operating Characteristic Curves and meta-analyses were accomplished via Meta-Disc version 1.4.

resultsIn total, 21 relevant articles involving 3112 study subjects were included in our review. Results showed that the collective sensitivity for SCr and SCysC was 0.77 (95% CI: 0.69-0.84) and 0.87 (95% CI: 0.82-0.91), respectively. The pooled specificity for SCr and SCysC was 0.91 (95% CI: 0.86-0.94) and 0.87 (95% CI: 0.82-0.91), respectively. Subgroup analyses demonstrated that when GFR cut-off values are set to 60 (ml/min/1.73 m

conclusionsThe diagnostical accuracy for impaired kidney function favors SCysC. Confidence intervals for the pooled sensitivity and specificity for SCr and SCysC overlap. However, SCysC is more sensitive for estimating GFR than SCr when GFR cut-off values are set to 60 (ml/min/1.73 m

Indexed as

creatininecystatin Cglomerular filtration ratemeta-analysis

Identifiers

PMID29069842
PMCPMC5641185

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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.