Evidence map›Paper›PMID 37519795›Full record

ArticleFrontiers in oncology2023

Prognostic scoring system based on eosinophil- and basophil-related markers for predicting the prognosis of patients with stage II and stage III colorectal cancer: a retrospective cohort study.

Lijing Gao, Chao Yuan, Jinming Fu, Tian Tian, Hao Huang, Lei Zhang, Dapeng Li, Yupeng Liu, Shuhan Meng, Ying Liu and 11 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. AllergoOncology in Review: Harnessing Allergy in the Field of Oncology to Improve Patient Outcomes.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Review
  2. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  3. Preoperative Low Serum Basophil Levels Predict Poor Prognosis for the Patients with Esophageal Squamous Cell Carcinoma.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2026
    Article
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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

21 authors at 1 institution in 1 country.

Lijing GaoDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Chao YuanDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
Jinming FuDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Tian TianDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Hao HuangDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Lei ZhangDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Dapeng LiDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Yupeng LiuDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Shuhan MengDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Ying LiuDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Yuanyuan ZhangDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Jing XuDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Chenyang JiaDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Ding ZhangDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Ting ZhengDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Qingzhen FuDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Shiheng TanDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Li LanDivision of Chronic and Non-communicable Diseases, Harbin Center for Diseases Control and Prevention, Harbin, Heilongjiang, China.
Chao YangDivision of Chronic and Non-communicable Diseases, Harbin Center for Diseases Control and Prevention, Harbin, Heilongjiang, China.
Yashuang ZhaoDepartment of Epidemiology, School of Public Health, NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, Heilongjiang, China.
Yanlong LiuDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Systemic inflammation is associated with the prognosis of colorectal cancer (CRC). The current study aimed to construct a comprehensively inflammatory prognostic scoring system named risk score (RS) based on eosinophil- and basophil-related markers and assess its prognostic value in patients with stage II and stage III CRC. Patients and methods: A total of 3,986 patients were enrolled from January 2007 to December 2013. The last follow-up time was January 2019. They were randomly assigned to the training set and testing set in a 3:2 split ratio. Least absolute shrinkage and selection operator (LASSO)-Cox regression analysis was performed to select the optimal prognostic factors in the construction of RS. The Kaplan-Meier curve, time-dependent receiver operating characteristic (ROC), and Cox analysis were used to evaluate the association between RS and overall survival (OS). Results: In the training set, all inflammatory markers showed certain prognostic values. Based on LASSO-Cox analysis, nine markers were integrated to construct RS. The Kaplan-Meier curve showed that a higher RS (RS > 0) had a significantly worse prognosis (log-rank Conclusions: RS might be an independent prognostic factor for OS in patients with stage II and III CRC, which is helpful for risk stratification of patients. Additionally, the nomogram might be used for personalized prediction and might contribute to formulating a better clinical treatment plan.

Indexed as

basophilsbiomarkercolorectal cancereosinophilsinflammationprognosisrisk score

Identifiers

PMID37519795
PMCPMC10375403
OpenAlexW4384296580

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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.