Evidence map›Paper›PMID 41473511›Full record

ArticleFrontiers in surgery2025

Development and validation of a nomogram for predicting the efficacy of vidian neurectomy in the treatment of chronic rhinosinusitis with nasal polyps combined with allergic rhinitis.

Cheng-Li Xu, Qiao Huang, Zi-Ang Zhu

Abstract read
In one paragraph

Article in Frontiers in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Cheng-Li XuDepartment of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qiao HuangDepartment of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zi-Ang ZhuDepartment of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vidian neurectomy (VN) is commonly used to treat chronic rhinosinusitis with nasal polyps combined with allergic rhinitis (CRSwNP with AR). However, its therapeutic efficacy varies among individuals. This study aimed to develop a nomogram to predict treatment efficacy and provide reference for clinical decision-making. Methods: A total of 350 patients with CRSwNP and AR who underwent VN were retrospectively enrolled and divided into effective and ineffective groups based on treatment outcomes. Univariate analysis was performed to compare demographic and disease-related characteristics between the two groups. Significant variables from the univariate analysis were included as predictors in an XGBoost model, with SHAP visualization used to identify important features. In parallel, multivariate logistic regression was conducted to determine independent predictors of efficacy. Variables identified as both important and statistically significant from these two methods were used to construct a nomogram. The performance of the nomogram was evaluated using calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Results: The effective group accounted for 74.57% of the cohort. The ineffective group showed significantly higher values in several indicators, including disease duration, history of endoscopic sinus surgery, inflammatory markers, and symptom scores. Both the XGBoost model and multivariate logistic regression identified preoperative white blood cell count (WBC), operation duration, history of endoscopic sinus surgery, total IgE level, and SNOT-22 score as significant predictors (all Conclusion: This study successfully developed and validated a nomogram incorporating preoperative WBC, operation duration, prior surgical history, total IgE, and SNOT-22 score to predict the efficacy of VN in treating patients with CRSwNP and AR. The model offers a reliable tool to assist clinicians in making personalized treatment decisions.

Indexed as

chronic rhinosinusitis with nasal polyps and allergic rhinitisnomogrampredictive modelvidian neurectomyXGBoost model

Identifiers

PMID41473511
PMCPMC12746656

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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.