Evidence map›Paper›PMID 37391595›Full record

SynthesisProstate cancer and prostatic diseases2024

Prognostic value of a baseline prognostic nutritional index for patients with prostate cancer: a systematic review and meta-analysis.

Yang Zheng, Kai Wang, Yong Ou, Xu Hu, Ziyan Wang, Dong Wang, Xinglan Li, Shangqing Ren

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Prostate cancer and prostatic diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 pooled it
5.5field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 5 syntheses or guidelines pooled it, 24 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

8 authors at 3 institutions in 1 country.

Yang Zheng *School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Kai Wang *Department of Acute Care Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China.
Yong Ou *School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Xu HuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Ziyan WangSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, 610054, China.
Dong WangRobotic Minimally Invasive Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China. wangdong19690530@163.com.
Xinglan LiDepartment of Pathology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China. lxl19860421@126.com.
Shangqing RenRobotic Minimally Invasive Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, Sichuan, China. rsq0516@163.com.ORCID 0000-0002-8098-9247
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CNUniversity of Electronic Science and Technology of China · CNSichuan University · CN

Funding

Sichuan Provincial Department of Science and Technology | Sichuan Province Science and Technology Support Program 23ZDYF2070,2022YFS0135
6 · The paper itself

Abstract

backgroundThe prognostic nutritional index (PNI) integrates both nutritional and immune indicators and provides promising prognostic value for various malignancies. However, there is still no specific consensus relating to the precise relationship between the pretreatment PNI and the survival outcome of patients with prostate cancer (PCa). Here, we performed a meta-analysis to determine the prognostic significance of PNI for patients with PCa.

methodsWe used the PubMed, EMBASE, Web of Science, Cochrane Library (CENTRAL), and CNKI databases to identify and retrieve eligible articles that were published in any language up to the 1st March 2023. Our analysis considered hazard ratios (HRs) and 95% confidence intervals (CIs) published in the included studies. Data synthesis and analysis were conducted using Stata 15.1 software.

resultsA total of ten studies featuring 1631 cases were included in our quantitative analysis. Analysis showed that a low PNI at baseline was significantly associated with poor overall survival (OS) (HR: 2.16; 95% CI: 1.40-3.34; p = 0.01), progression-free survival (PFS) (HR: 2.17; 95% CI 1.63-2.89; p < 0.001). Owing to high levels of heterogeneity, we performed subgroup analysis based on disease staging, sample size, and cutoff value; we found that disease staging may have been the source of the heterogeneity. A low pretreatment PNI was associated with poor survival outcomes for both metastatic castration-resistant prostate cancer (mCRPC) patients and nonmetastatic castration-resistant prostate cancer (nmCRPC) patients.

conclusionsA low pretreatment PNI was significantly correlated with a worse OS and PFS in patients with PCa. A low pretreatment PNI may act as a reliable and effective predictor for the prognosis of patients with PCa. Further well-designed studies should be performed to fully evaluate the prognostic performance of this novel indicator for PCa.

Indexed as

Nutrition AssessmentProstatic NeoplasmsHumansMaleNutritional StatusPrognosisSurvival Rate

Identifiers

PMID37391595
OpenAlexW4382679813

What OpenQuestion holds

Textmetadata
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.