Evidence map›Paper›PMID 41179120›Full record

ArticleTherapeutic advances in medical oncology2025

Pan-immune-inflammation value as a novel predictor of pathological response to neoadjuvant chemotherapy combined with anti-PD-1 therapy in esophageal squamous cell carcinoma: a multicenter real-world retrospective clinical study.

Jiang-Shan Huang, Qi-Hong Zhong, Gang Wang, Zi-Lu Tang, Bing-Lin Shen, Wei-Nan Liu, Fei-Long Guo, Jing-Yu Wu, Zhen-Yang Zhang, Jiang-Bo Lin

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

10 authors.

Jiang-Shan HuangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Qi-Hong ZhongDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Gang WangDepartment of Thoracic Surgery, GanZhou Cancer Hospital, Ganzhou, China.
Zi-Lu TangDepartment of Thoracic Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Bing-Lin ShenDepartment of Thoracic Surgery, Anxi County Hospital, Quanzhou, China.
Wei-Nan LiuDepartment of Thoracic Surgery, Quanzhou Guangqian Hospital, Quanzhou, China.
Fei-Long GuoDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Jing-Yu WuDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Zhen-Yang ZhangDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou 350001, China Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, China.
Jiang-Bo LinDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou 350001, China Key Laboratory of Cardio-Thoracic Surgery (Fujian Medical University), Fujian Province University, Fuzhou, China.ORCID https://orcid.org/0000-0002-5016-3153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current biomarkers for predicting pathological response to neoadjuvant chemoimmunotherapy in esophageal squamous cell carcinoma (ESCC) remain limited. Objective: This study investigates the potential of the pan-immune-inflammation value (PIV) as a biomarker for predicting pathological response after neoadjuvant chemoradiotherapy combined with anti-programmed death protein-1 (PD-1) therapy in ESCC. Design: A multicenter, real-world, retrospective clinical study conducted across five centers in Southern China (January 2021-March 2024). Methods: A multicenter retrospective study included 334 patients with ESCC, divided into pathological complete response (pCR) and non-pathological complete response (non-pCR) groups. Clinical and laboratory data were analyzed using univariate and multivariate logistic regression to evaluate the relationship between post-treatment PIV and pathological response. The threshold effect of PIV was explored using restricted cubic spline analysis. Results: Subgroup analysis showed no significant interactions across clinical subgroups. Post-treatment PIV was positively associated with non-pCR risk (odds ratio = 1.002; 95% confidence interval: 1.001-1.003, Conclusion: Post-treatment PIV shows a nonlinear relationship with pathological response in patients receiving neoadjuvant chemoradiotherapy combined with anti-PD-1 therapy and may serve as a predictive biomarker.

Indexed as

esophageal squamous cell carcinomainflammatory markersneoadjuvant chemotherapypathological responserobotic-assisted

Identifiers

PMID41179120
PMCPMC12579197

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