Evidence map›Paper›PMID 41971062›Full record

ArticleFrontiers in surgery2026

Risk factor identification and nomogram-based predictive model development for recurrence of pituitary adenomas following transsphenoidal surgery: a dual-center retrospective study.

Xingjian Yang, Wenxian Yang, Pengwei Hou, Yuyang Chen, Jun Li, Jiansheng Zhong, Shousen Wang, Hongjie Chen

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Article in Frontiers in surgery, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xingjian Yang *Department of Neurosurgery, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.
Wenxian Yang *Department of Ultrasound, Bengbu Medical University, Bengbu, Anhui, China.
Pengwei Hou *Department of Neurosurgery, Jinjiang Municipal Hospital (Shanghai Sixth People's Hospital Fujian Branch), Jinjiang/Quanzhou, Fujian, China.
Yuyang ChenDepartment of Neurosurgery, Huashan Hospital Affiliated to Fudan University, Shanghai, China.
Jun LiDepartment of Neurosurgery, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.
Jiansheng ZhongDepartment of Neurosurgery, Fujian Medical University, Fuzhou, Fujian, China.
Shousen WangDepartment of Neurosurgery, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.
Hongjie ChenDepartment of Neurosurgery, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify independent risk factors for pituitary adenoma recurrence after transsphenoidal surgery and construct and validate a nomogram for recurrence risk quantification. Methods: We retrospectively collected clinical data of 469 patients with pituitary adenomas from Fuzhou 900 Hospital and Huashan Hospital of Fudan University. LASSO regression was applied to screen potential predictive factors, followed by multivariate Logistic regression to identify independent prognostic factors. Nomograms were subsequently constructed to evaluate the model's discriminative ability, calibration, and clinical utility. Results: Recurrence occurred in 64 cases (13.65%). Multivariate analysis confirmed modified Knosp classification (grades 3B-4), clival invasion, and subtotal resection as independent risk factors ( Conclusion: The nomogram, which is the first to integrate clival invasion with modified Knosp classification and extent of resection, effectively predicts pituitary adenoma recurrence after transsphenoidal surgery and shows promising clinical utility.

Indexed as

nomogramspituitary adenomasprognostic modelstranssphenoidal surgerytumor recurrence

Identifiers

PMID41971062
PMCPMC13066738

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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.