Evidence map›Paper›PMID 38966640›Full record

SynthesisFrontiers in immunology2024

Prognostic relevance of prognostic nutritional indices in gastric or gastro-esophageal junction cancer patients receiving immune checkpoint inhibitors: a systematic review and meta-analysis.

Shufu Hou, Dandan Song, Ruiqi Hao, Linchuan Li, Yun Zhang, Jiankang Zhu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 7 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

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

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  12. Longitudinal trajectories of nutritional markers in patients with de novo Stage IV gastric cancer: a descriptive analysis using one-year survival as a reference.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  14. [Prognostic nutritional index and risk of incident hyperuricemia: A retrospective cohort study].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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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

6 authors.

Shufu Hou *Department of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Dandan Song *Department of Neurology, Shandong Province Third Hospital, Jinan, China.
Ruiqi Hao *Department of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Linchuan LiDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Yun ZhangDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Jiankang ZhuDepartment of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Prognostic Nutritional Index (PNI) has become an important predictive tool for assessing patients' nutritional status and immune competence. It is widely used in prognostic evaluations for various cancer patients. However, the prognostic relevance of the Prognostic Nutritional Index (PNI) in gastric or gastro-esophageal junction cancer patients (GC/GEJC) undergoing immune checkpoint inhibitors (ICIs) treatment remains unclear. This meta-analysis aimed to determine the prognostic impact of PNI in this specific patient cohort. Methods: We conducted a thorough literature search, covering prominent databases such as PubMed, Embase, Web of Science, SpringerLink, and the Cochrane Library. The search spanned from the inception of these databases up to December 5, 2023. Employing the 95% confidence interval and Hazard Ratio (HR), the study systematically evaluated the relationship between PNI and key prognostic indicators, including the objective remission rate (ORR), disease control rate (DCR), overall survival (OS) and progression-free survival (PFS) in GC/GEJC patients undergoing ICI treatment. Results: Eight studies comprising 813 eligible patients were selected. With 7 studies consistently demonstrating superior Overall Survival (OS) in the high-Prognostic Nutritional Index (PNI) group compared to their low-PNI counterparts (HR 0.58, 95% CI: 0.47-0.71, P<0.001). Furthermore, the results derived from 6 studies pointed out that the significant correlation between he low-PNI and poorer progression-free survival (PFS) (HR 0.58, 95% CI: 0.47-0.71, P<0.001). Subgroup analyses were performed to validate the robustness of the results. In addition, we conducted a meta-analysis of three studies examining the correlation between PNI and objective response rate/disease control rate (ORR/DCR) and found that the ORR/DCR was significantly superior in the high PNI group (ORR: RR: 1.24, P=0.002; DCR: RR: 1.43, P=0.008). Conclusion: This meta-analysis indicates that the low-PNI in GC/GEJC patients undergoing ICI treatment is significantly linked to worse OS and PFS. Therefore, PNI can serve as a prognostic indicator of post-treatment outcomes in patients with GC receiving ICIs. Further prospective studies are required to assess the reliability of these findings. Systematic review registration: https://inplasy.com/, identifier INPLASY202450133.

Indexed as

Esophageal NeoplasmsEsophagogastric JunctionImmune Checkpoint InhibitorsStomach NeoplasmsHumansNutritional StatusNutrition AssessmentPrognosisImmune Checkpoint Inhibitorsgastric cancergastro-esophageal junction cancerimmune checkpoint inhibitorsmeta – analysisprognostic nutritional index

Identifiers

PMID38966640
PMCPMC11222392

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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.