Evidence map›Paper›PMID 42346274›Full record

ArticleCurrent oncology (Toronto, Ont.)2026

Predicting Post-Radiotherapy Lymphocyte Recovery for Individualized Risk Stratification in Locally Advanced Esophageal Squamous Cell Carcinoma.

Hongshan Ji, Yuhao Su, Menglu Liu, Yajing Wang, Qiuying An, Yage Jia, Zihan Zhang, Jin Yan, Jingxin Bai, Ping Zhang and 1 more

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Hongshan JiDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Yuhao SuDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Menglu LiuDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Yajing WangDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Qiuying AnDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Yage JiaDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Zihan ZhangDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Jin YanDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Jingxin BaiDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Ping ZhangDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.
Zhiguo ZhouDepartment of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang 050011, China.

Funding

Hebei Province Medical-Research-Enterprise Joint Innovation Special Project Program LH20250258The Pan-Cancer Therapy Scientific Research Fund Program QD-HB10006
6 · The paper itself

Abstract

The prognostic value of post-radiotherapy (RT) lymphocyte recovery remains unclear in locally advanced esophageal squamous cell carcinoma (ESCC), and tools to predict recovery are lacking. This study evaluated lymphocyte recovery as a survival predictor and developed a prediction model. We analyzed 233 patients (2019-2024; training:validation = 7:3). Lymphocyte recovery was assessed at 1 and 3 months post-RT (ΔALC

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaLymphocytesAgedFemaleHumansMaleMiddle AgedPrognosisRisk Assessmentesophageal squamous cell carcinomaindividualized risk stratificationlymphocyte recoveryprediction modelradiation-induced lymphopeniaradiotherapy

Identifiers

PMID42346274
PMCPMC13297973

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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.