Evidence map›Paper›PMID 41648751›Full record

SynthesisFrontiers in nutrition2025

Prognostic value of Prognostic Nutritional Index in cancer: an umbrella review of systematic review and meta-analysis.

Jiyu Yang, Cuixue Wang, Jian Xue, Xiao Ma, Yingze Hou, Haoran Yuan, Kaiyan Xia, Long Piao, Xianchun Zhou

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
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

9 authors.

Jiyu Yang *Central Laboratory, The Affiliated Hospital of Yanbian University, Yanji, China.
Cuixue Wang *Central Laboratory, The Affiliated Hospital of Yanbian University, Yanji, China.
Jian XueDepartment of Oncology, Xiangshui County People's Hospital, Yancheng, China.
Xiao MaCentral Laboratory, The Affiliated Hospital of Yanbian University, Yanji, China.
Yingze HouCentral Laboratory, The Affiliated Hospital of Yanbian University, Yanji, China.
Haoran YuanCentral Laboratory, The Affiliated Hospital of Yanbian University, Yanji, China.
Kaiyan XiaCentral Laboratory, The Affiliated Hospital of Yanbian University, Yanji, China.
Long PiaoDepartment of Rehabilitation Medicine, Yanbian Hospital Affiliated to Yanbian University, Yanji, China.
Xianchun ZhouCentral Laboratory, The Affiliated Hospital of Yanbian University, Yanji, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Prognostic Nutritional Index (PNI) is a critical biomarker reflecting the nutritional and immune status of cancer patients. Its association with the prognosis of various malignant tumors has been extensively investigated. However, a comprehensive systematic evaluation of the prognostic significance of PNI across different cancer types remains limited. Methods: This umbrella review conducted a systematic search of PubMed, Embase, Web of Science, and the Cochrane Library to include meta-analyses that assessed survival outcomes related to cancer across diverse malignancy categories. The quality of the evidence was evaluated utilizing the GRADE and AMSTAR tools. Effect sizes, expressed as hazard ratios (HR) or odds ratios (OR), were synthesized using either random-effects or fixed-effects models. Additionally, analyses of heterogeneity, indicated by I Results: The Prognostic Nutritional Index (PNI) demonstrates associations across multiple cancer types, with a low PNI significantly linked to poor prognosis in 12 categories of malignant tumors. The HRs for 103 outcomes ranged from 1.15 to 2.98 ( Conclusion: A low Prognostic Nutritional Index is consistently associated with poorer outcomes across various cancer types, particularly in predicting responses to immunotherapy. However, due to the current limited quality of evidence, it cannot yet be recommended as a standalone prognostic or decision-making tool across all tumors. Future rigorously designed, multi-center studies are required to validate its clinical utility. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/,CRD42025111093.

Indexed as

canceroutcomesprognosticPrognostic Nutritional Indexumbrella review

Identifiers

PMID41648751
PMCPMC12867775

What OpenQuestion holds

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Registered trials

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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.