Evidence map›Paper›PMID 39217595›Full record

SynthesisClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2025

Predictive value of prognostic nutritional index as prognostic biomarkers in patients with lymphoma: a systematic review and meta-analysis.

Xuan Liu, Yuqing Duan, Yixian Wang, Xin Zhang, Hongbo Lv, Qiong Li, Na Qiao, Hengyu Meng, Linwei Lan, Xiumin Liu and 1 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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

11 authors.

Xuan LiuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Yuqing DuanDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Yixian WangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Xin ZhangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Hongbo LvDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Qiong LiDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Na QiaoDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Hengyu MengDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Linwei LanDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Xiumin Liu *Department of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, 130041, People's Republic of China. liuxium@jlu.edu.cn.
Xin Liu *Department of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China. liuxinjlu01@163.com.ORCID http://orcid.org/0000-0002-3486-5753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral research have indicated the significant potential of the Prognostic Nutritional Index (PNI) as a prognostic biomarker in lymphoma patients. However, there is some inconsistency in the findings of a few studies. Hence, to offer a thorough evaluation of the predictive significance of PNI in lymphoma patients, we performed a meta-analysis to examine the prognostic value of PNI for survival outcomes in lymphoma patients.

methodsWe conducted a comprehensive search for pertinent works published up until December 2023 in databases such as PubMed, EMBASE, Cochrane Library, and Web of Science. We obtained hazard ratio (HR) data related to survival outcomes and computed aggregated HRs with their corresponding 95% confidence intervals (CIs) to evaluate the correlation between PNI and both overall survival (OS) and progression-free survival (PFS) in lymphoma patients.

resultsBy analyzing data from 1260 patients in 28 studies, we found that PNI levels were associated with prognosis in lymphoma patients. High PNI levels predicted that patients had longer OS (HR: 0.46, 95% CI 0.37-0.58, P < 0.05) and better PFS (HR: 0.56, 95% CI 0.45-0.70, P < 0.05). Subgroup analyses showed that the predictive ability of PNI for patient prognosis may differ depending on the type of lymphoma. In addition, we found that the critical PNI value had greater predictive potential at 40-45 and above 45.

conclusionOur study suggests a strong association between PNI and prognostic outcomes in lymphoma patients, indicating that PNI holds substantial prognostic value in this population.

Indexed as

LymphomaNutritional StatusNutrition AssessmentBiomarkers, TumorHumansPredictive Value of TestsPrognosisProgression-Free SurvivalBiomarkers, TumorLymphomaOverall survivalPNIPrognostic nutritional indexProgression-free survival

Identifiers

PMID39217595

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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.