Evidence map›Paper›PMID 35116300›Full record

ArticleTranslational cancer research2021

Efficiency of C-reactive protein in prognosis evaluation of prostate cancer: a systematic review and meta-analysis.

Jianhui Du, Jianhua Lan, Jingjing Xiong, Hai Yang, Xiaohan Xu, Chaolai Tang, Guohua Huang, Qiao Ying, Jian Mu, Qiyi Hu

Abstract read
In one paragraph

Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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.

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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.

Jianhui Du *Department of Urology, People's Hospital of Guang'an City, Guang'an, China.
Jianhua Lan *Department of Urology, People's Hospital of Guang'an City, Guang'an, China.
Jingjing XiongDepartment of Urology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hai YangDepartment of Urology, People's Hospital of Guang'an City, Guang'an, China.
Xiaohan XuDepartment of Urology, People's Hospital of Guang'an City, Guang'an, China.
Chaolai TangDepartment of Urology, People's Hospital of Guang'an City, Guang'an, China.
Guohua HuangDepartment of Urology, People's Hospital of Guang'an City, Guang'an, China.
Qiao YingDepartment of Urology, People's Hospital of Guang'an City, Guang'an, China.
Jian MuDepartment of Urology, People's Hospital of Guang'an City, Guang'an, China.
Qiyi HuDepartment of Urology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor markers can be diagnostically suggestive and are sometimes even related to prognostic prediction certain diseases. Multiple studies have shown the effectiveness in the prediction of prostate cancer (PCa) by the use of C-reactive protein (CRP). This meta-analysis was conducted to facilitate a conclusion regarding the values of CRP in the prediction of survival rate in patients with PCa.

methodsManuscripts were searched, identified, and collected from different databases; quality evaluation was performed according to the different search strategies involved. Information including the comparison between overall survival (OS) and cancer-specific survival (CSS) rate were retained from different studies in patients with evaluated or lowered CRP levels. Progression-free survival (PFS) was also recorded in relation to the log of CRP. Level of relevance was assessed using hazard ratio (HR) and 95% confidence interval (CI). Heterogenicity testing was performed by using Cochran's Q test and Higgins I

resultsA total 12 of manuscripts were included and evaluated from the 1,523 initially identified studies. The results of OS and PFS were 1.57 (95% CI: 1.34 to 1.85) and 1.50 (95% CI: 1.25 to 1.81), respectively. For CSS, the combined HR and 95% CI was 1.92 (95% CI: 1.36 to 2.70), which revealed a significant correlation between increased level of CRP and CSS in PCa patients.

conclusionsThis meta-analysis revealed that CRP value could be one of the critical indicators to predict the survival rate of PCa patients.

Indexed as

C-reactive protein (CRP)meta-analysisprognosisprostate cancer (PCa)

Identifiers

PMID35116300
PMCPMC8798868

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