Evidence map›Paper›PMID 38410508›Full record

SynthesisFrontiers in immunology2024

Pan-immune inflammation value as a prognostic biomarker for cancer patients treated with immune checkpoint inhibitors.

Tianrui Kuang, Zhendong Qiu, Kunpeng Wang, Lilong Zhang, Keshuai Dong, Weixing Wang

Open access · goldAbstract readMeta-AnalysisSystematic Review
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 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 pooled it
9.6field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 5 syntheses or guidelines pooled it, 34 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

6 authors at 2 institutions in 1 country.

Tianrui Kuang *Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Zhendong Qiu *Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Kunpeng WangDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Lilong ZhangDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Keshuai DongDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Weixing WangDepartment of General Surgery, Renmin Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNRenmin Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitors (ICIs) represent a paradigm shift in the development of cancer therapy. However, the improved efficacy of ICIs remains to be further investigated. We conducted a systematic review and meta-analysis to evaluate the pan-immunoinflammatory value (PIV) and PILE score used to predict response to ICI therapy. Methods: We searched selected databases for studies on pan-immune inflammation values and their association with outcomes of treatment with immune checkpoint inhibitors. We used hazard ratios (HRS) and 95% confidence intervals (CI) to summarize survival outcomes. All data analyses were performed using STATA 15.0. Results: 7 studies comprising 982 patients were included in the meta-analysis. The pooled results showed that higher PIV was significantly associated with shorter overall survival OS (HR = 1.895, 95%CI: 1.548-2.318) and progression-free survival (PFS) (HR = 1.582, 95%CI: 1.324-1.890). Subgroup analyses also confirmed the reliability of the results. Conclusions: High PIV and PILE metrics are associated with lower survival in cancer patients receiving ICIs.

Indexed as

Biomarkers, TumorImmune Checkpoint InhibitorsInflammationNeoplasmsHumansPrognosisBiomarkers, TumorImmune Checkpoint Inhibitorsimmunotherapymeta-analysispan-immune inflammation valueprognosistumor

Identifiers

PMID38410508
PMCPMC10895004
OpenAlexW4391750589

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.