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. 2023 Aug 9;46(1):196.
doi: 10.1007/s10143-023-02103-3.

Decision-making tree for surgical treatment in meningioma: a geriatric cohort study

Haoyi Li  1 , Dao Zheng  1 , Yonggang Wang  1 , Yuzhe Ying  1 , Dali Sui  1 , Song Lin  1 , Zhongli Jiang  1 , Huawei Huang  2 , Guobin Zhang  3
Affiliations

Decision-making tree for surgical treatment in meningioma: a geriatric cohort study

Haoyi Li et al. Neurosurg Rev. .

Abstract

Controversies persist regarding the benefits of surgery in elderly patients with meningiomas. The objective of this study was to develop decision-making scale to clarify the necessity for surgical intervention and provide clinical consultation for this special population. This retrospective cohort study was conducted at a single center and included 478 elderly patients (≥ 65 years) who underwent meningioma resection. Follow-up was recorded to determine recurrence and mortality rates. Univariate and multivariate analyses were performed to identify significantly preoperative factors, and prognostic prediction models were developed with determined cutoff values for the prognostic index (PI). Model discrimination was evaluated using Kaplan-Meier curves based on the PI stratification, which categorized patients into low- and high-risk groups. A decision-making tree was then established based on the risk stratification from both models. Among all patients analyzed (n = 478), 62 (13.0%) experience recurrence and 47 (10.0%) died during the follow-up period. Significantly preoperative parameters from both models included advanced age, aCCI, recurrent tumor, motor cortex involvement, male sex, peritumoral edema, and tumor located in skull base (all P < 0.05). According to the classification of PI from the two models, the decision-making tree provided four recommendations that can be used for clinical consultation. Surgery is not recommended for patients assigned to the high-risk group in both models. Patients who meet the low-risk criteria in any model may undergo surgical intervention, but the final decision should depend on the surgeon's expertise.

Keywords: Meningioma; Prognostic model; Surgical decision-making; Surgical resection; The elderly.

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