Evidence map›Paper›PMID 24589465›Full record

SynthesisAsian journal of andrology

Prognostic role of C-reactive protein in prostate cancer: a systematic review and meta-analysis.

Zhu-Qing Liu, Li Chu, Jue-Min Fang, Xi Zhang, Hua-Xin Zhao, Yi-Jing Chen, Qing Xu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Asian journal of andrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 6 pooled it
3.6field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 6 syntheses or guidelines pooled it, 59 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

7 authors at 2 institutions in 1 country.

Zhu-Qing Liu
Li Chu
Jue-Min Fang
Xi Zhang
Hua-Xin Zhao
Yi-Jing Chen
Qing XuDepartment of Medical Oncology, Shanghai Tenth People's Hospital, Tongji University, School of Medicine, Shanghai, China.
Tongji University · CNShanghai Tenth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have reported that C-reactive protein (CRP), an inflammation biomarker, may be associated with the prognosis of prostate cancer (PCa). The objective of this systematic review is to summarize the predictive role of CRP for survival in PCa as reported in previous studies. Related studies were identified, and evaluated for quality through multiple search strategies. Data was collected from studies comparing overall and cancer-specific survival (CSS) in patients with elevated CRP levels and those having lower levels. However, for progression-free survival (PFS), data were collected according to the log of CRP. The hazard ratio (HR) and its 95% confidence interval (CI) were used to assess the strength of associations. A total of nine studies (n = 1,497) were evaluated in this meta-analysis (five for overall survival (OS), four for CSS and two for PFS). For OS and PFS, the pooled HR of CRP was statistically significant at 1.51 (95% CI, 1.28-1.79) and 1.50 (95% CI, 1.25-1.81), respectively. For CSS, the pooled HR was 1.91 (95% CI, 1.36-2.69) with higher CRP expression in PCa, which strongly indicates poorer survival in PCa. This study demonstrates that CRP may have a critical prognostic value in patients with prostatic cancer.

Indexed as

Biomarkers, TumorC-Reactive ProteinDisease-Free SurvivalHumansInflammation MediatorsMalePrognosisProstatic NeoplasmsSurvival AnalysisBiomarkers, TumorC-Reactive ProteinInflammation Mediators

Identifiers

PMID24589465
PMCPMC4023380
OpenAlexW1992164020

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.