Evidence map›Paper›PMID 40384985›Full record

ArticleMedComm2025

Platelet-to-Neutrophil Ratio: A Novel Prognostic Indicator for Anti-PD-1-Based Therapy in Relapsed/Refractory Hodgkin Lymphoma and Solid Tumors.

Yuting Pan, Xin Zhang, Chunmeng Wang, Nannan Lu, Yang Liu, Yixin Chang, Xueting Qin, Weidong Han, Jing Nie

Abstract read
In one paragraph

Article in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Yuting PanDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.ORCID https://orcid.org/0000-0002-1039-7828
Xin ZhangDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.
Chunmeng WangDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.
Nannan LuDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.
Yang LiuDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.
Yixin ChangDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.
Xueting QinDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.
Weidong HanDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.ORCID https://orcid.org/0000-0003-3207-3899
Jing NieDepartment of Bio-therapeutic, The First Medical Centre Chinese People's Liberation Army General Hospital Beijing China.ORCID https://orcid.org/0000-0001-5080-6553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Program cell death-1 (PD-1) blockade treatment has been shown effective in cases with relapsed/refractory classical Hodgkin Lymphoma (R/R cHL), while prognostic biomarkers remain unclear. Seventy-seven cases with R/R cHL who received immunotherapy for the first time were included. Receiver operator characteristic analysis displayed platelet-to-neutrophil ratio (PNR) as the most probable indicator among distinct inflammatory-cell ratios. Patients with high pretreatment PNR (≥ 51.6) achieved significantly higher complete response (CR) rate as compared with patients with low PNR (< 51.6), and PNR

Indexed as

anti‐PD‐1 immunotherapyHodgkin lymphomaperipheral biomarker; platelet‐to‐neutrophil ratioprognosis

Identifiers

PMID40384985
PMCPMC12082035

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.