Evidence map›Paper›PMID 42857285›Full record

ArticleFrontiers in oncology2026

Preoperative risk stratification for pulmonary complications after neoadjuvant therapy and esophagectomy in locally advanced esophageal squamous cell carcinoma: a retrospective cohort study.

Huan Lv, Ming Wang, Mingchuang Zhu, Tao Lu, Yong Ma, Ruirui Han

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

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Huan LvDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
Ming WangDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
Mingchuang ZhuDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
Tao LuDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
Yong MaDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
Ruirui HanDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Postoperative pulmonary complications (PPCs) are a major cause of morbidity among patients with esophageal squamous cell carcinoma (ESCC) undergoing esophagectomy. Risk stratification is crucial for patients receiving neoadjuvant therapy (NAT), as their perioperative course differs. We aimed to identify preoperatively available factors associated with PPCs after neoadjuvant therapy and esophagectomy and to develop a practical model for preoperative risk stratification. Methods: We retrospectively analyzed consecutive adults with locally advanced ESCC who underwent NAT [chemotherapy (NCT) or immunochemotherapy (NICT)] followed by curative-intent esophagectomy (2023-2024). PPCs were defined Results: Among 232 eligible patients, 69 (29.7%) experienced PPCs. In the final model, smoking history was associated with higher odds of PPCs, whereas hypertension, NICT versus NCT, preoperative nebulization, and preoperative respiratory exercise were associated with lower odds. The model showed acceptable discrimination [apparent Area Under the Curve (AUC), 0.783; optimism-corrected AUC, 0.764] and acceptable calibration after bootstrap internal validation. Decision-curve analysis suggested potential net benefit across a range of threshold probabilities. The model was presented as a nomogram for individualized preoperative risk estimation. Conclusions: A model based on five preoperatively available variables showed acceptable performance for PPC risk stratification after neoadjuvant therapy and esophagectomy in locally advanced ESCC. The nomogram may support individualized preoperative risk estimation, but external validation and prospective impact assessment are required before clinical implementation.

Indexed as

esophageal squamous cell carcinomaesophagectomyneoadjuvant therapynomogrampostoperative pulmonary complications

Identifiers

PMID42857285
PMCPMC13650297

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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.