ArticleFrontiers in oncology2025
Clinical characteristics and recurrence predictors of sinonasal inverted papilloma: a retrospective cohort study.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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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.
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Who cites it
3 citing papers in PubMed.
- Beyond whole-image learning: anatomically partitioned deep learning models for superior sinonasal disease classification.European radiology · 2026Article
- Sinonasal Inverted Papillomas: Predictors of Recurrence and Malignant Transformation.Life (Basel, Switzerland) · 2026Article
- Secreted phosphoprotein 1 is associated with epithelial cell proliferation and PI3K/AKT signalling in sinonasal inverted papilloma.SAGE open medicine · 2026Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the clinical characteristics and predictors of postoperative recurrence in sinonasal inverted papilloma (SNIP). Methods: A retrospective cohort study of 53 SNIP patients treated at Zhengzhou University Hospital (2019-2023) was conducted. Patients were stratified into primary (n=34) and recurrent (n=19) cohorts. Clinical variables were analyzed using univariate and multivariate logistic regression. Results: Smoking (OR=10.08, 95% CI=1.32-77.15), prior surgery (OR=17.26, 95% CI=2.69-110.76), and ipsilateral involvement (OR=7.79, 95% CI=1.05-57.99) emerged as independent recurrence predictors (P<0.05). Krouse staging (T3 vs. T1-T2) showed no significant association (P=0.198). Conclusion: Comprehensive evaluation of smoking history, surgical history, and lesion laterality is critical for recurrence risk stratification in SNIP management.
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