Evidence map›Paper›PMID 42445398›Full record

ArticleTranslational cancer research2026

Treatment strategies and survival outcomes of vestibular schwannoma: a comparative study based on Surveillance, Epidemiology, and End Results (SEER) database.

Long Chen, Hai-Yan Zheng, Tao Hou, Yi Ren, Qiao Huang, Lin Shen, Li-Ping Peng, Dun-Chang Mo, Shi-Hua Yin

Abstract read
In one paragraph

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

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Long Chen *Department of Otorhinolaryngology Head and Neck Surgery Department, The Nanning Second People's Hospital, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0002-3304-3707
Hai-Yan Zheng *Department of Ophthalmology, Otorhinolaryngology, Head and Neck Surgery, Beihai Traditional Chinese Medicine Hospital, Beihai, China.
Tao Hou *Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yi RenDepartment of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qiao HuangDepartment of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Lin ShenDepartment of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Li-Ping PengDepartment of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Dun-Chang MoDepartment of Radiotherapy, The Nanning Second People's Hospital, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shi-Hua YinDepartment of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0001-7156-2893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Treatment strategies for vestibular schwannoma (VS) vary widely, and selecting the optimal approach based on individual patient characteristics remains challenging. This study systematically evaluated the impact of different treatment modalities on survival outcomes and treatment-related risks using the Surveillance, Epidemiology, and End Results (SEER) database, and analyzed temporal trends and tumor size influences on treatment selection. Methods: A total of 10,081 patients diagnosed with VS between 2004 and 2021 were identified from the SEER database. Patients were categorized into four treatment groups: no treatment, surgery alone, radiotherapy (RT) alone, and combined surgery plus RT. To minimize baseline confounding, inverse probability of treatment weighting (IPTW) was employed. Comparative analyses of overall survival (OS) and treatment-related mortality risks were conducted across the four groups using Kaplan-Meier survival curves and cumulative incidence functions (CIFs). Additionally, temporal trends and tumor size influences on treatment groups were examined to provide clinical insights into individualized therapeutic strategies. Results: The surgery group showed the highest OS, with a 5-year survival rate of approximately 94%, compared to 78% in the no-treatment group (log-rank P<0.001). Combined therapy and RT alone had intermediate 5-year survival rates of about 89% and 85%, respectively. These differences remained significant after IPTW adjustment. In the competing risks analysis (36 treatment-related deaths), the surgery alone group was not associated with a statistically significant increase in treatment-related mortality [subdistribution hazard ratio (sub-HR) =0.60; P=0.22], nor was RT alone (sub-HR =1.02; P=0.95); the combined group had zero events, leading to an unstable estimate. Treatment choices evolved over time and were strongly influenced by tumor size. Conclusions: In this large, retrospective SEER-based analysis, surgery was associated with favorable OS, but the findings are subject to substantial selection bias due to unmeasured confounders (e.g., comorbidities, functional status). Treatment decisions should be individualized based on patient age, tumor size, and clinical symptoms. Future research integrating multicenter clinical data is warranted to advance precision therapy and functional preservation, ultimately improving patient quality of life.

Indexed as

radiotherapy (RT)surgerysurvivaltreatment strategiesVestibular schwannoma (VS)

Identifiers

PMID42445398
PMCPMC13357088

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.