Evidence map›Paper›PMID 40519921›Full record

ArticleFrontiers in immunology2025

Splenic volume as a predictor of survival in cancer patients treated with immune checkpoint inhibitors.

Yunhua Zhang, Xin Fu, Lilong Zhang, Qing Zhou, Weixing Wang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. NG25 Enhances Anti-Tumor Immunity inOncoTargets and therapy · 2026
    Article
  5. Article
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

5 authors.

Yunhua Zhang *Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Xin Fu *Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Lilong ZhangHubei Key Laboratory of Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Qing ZhouDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Weixing WangHubei Key Laboratory of Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This investigation seeks to examine the association between spleen volume and prognosis in cancer patients undergoing immune checkpoint inhibitor (ICI) treatment. Methods: We performed a retrospective analysis involving 61 patients diagnosed with hepatocellular carcinoma (HCC) who received ICIs at our institution. We evaluated the relationship between baseline splenic volume and its changes during ICI therapy concerning overall survival (OS) and progression-free survival (PFS) using a log-rank test. To identify relevant literature, we searched databases such as PubMed, EMBASE, the Cochrane Library, and Google Scholar up until February 20, 2024. The primary metrics assessed were hazard ratios (HR) for both OS and PFS, with pooled estimates and corresponding 95% confidence intervals (CIs) calculated. Results: Within our study population, findings demonstrated a significantly decreased OS (HR: 2.02, 95% CI: 1.08-3.77, Conclusion: A higher baseline spleen volume and an increase in spleen volume during ICI therapy were predictors of a poor prognosis in cancer patients treated with ICI.

Indexed as

Carcinoma, HepatocellularImmune Checkpoint InhibitorsLiver NeoplasmsSpleenAgedFemaleHumansMaleMiddle AgedOrgan SizePrognosisRetrospective StudiesTreatment OutcomeImmune Checkpoint Inhibitorscancerhepatocellular carcinomaimmune checkpoint inhibitorsprognosissplenic volume

Identifiers

PMID40519921
PMCPMC12163055

What OpenQuestion holds

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LicenceCC BY
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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.