Evidence map›Paper›PMID 41969438›Full record

ArticleTranslational cancer research2026

Prognostic modeling and validation of middle ear malignancy outcomes on the basis of SEER population data.

Yi Ren, Li-Ping Peng, Tao Hou, Qiao Huang, Dun-Chang Mo, Long Chen, Shi-Hua Yin

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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.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yi Ren *Otorhinolaryngology Head and Neck Surgery Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Li-Ping Peng *Otorhinolaryngology Head and Neck Surgery Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Tao HouOtorhinolaryngology Head and Neck Surgery Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qiao HuangOtorhinolaryngology Head and Neck Surgery Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Dun-Chang MoRadiotherapy Department, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Long ChenOtorhinolaryngology Head and Neck Surgery Department, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0002-3304-3707
Shi-Hua YinOtorhinolaryngology Head and Neck Surgery Department, 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: Malignant neoplasms of the middle ear represent a rare yet aggressive entity, with limited evidence regarding prognostic determinants and therapeutic outcomes. This study aimed to evaluate the association between radiotherapy (RT) and survival outcomes, and to develop a prognostic nomogram for middle ear malignancies using the Surveillance, Epidemiology, and End Results (SEER) database. Methods: A retrospective cohort analysis was performed on 206 patients diagnosed with middle ear malignancies from the SEER database [1975-2021]. Demographic and clinical variables, including age, sex, race, tumor stage, surgical intervention, RT, and chemotherapy, were analyzed. Survival outcomes were assessed using the Kaplan-Meier (K-M) method and multivariate Cox proportional hazards (PH) regression models. A nomogram predicting 1-, 3-, and 5-year overall survival (OS) was constructed and internally validated. Results: RT was administered to 56% of patients (n=112) and was associated with a 72% increased risk of mortality compared to patients not receiving RT [hazard ratio (HR) =1.72, 95% confidence interval (CI): 1.16-2.55; P=0.007]. Patients aged ≥65 years exhibited a 2.6-fold higher mortality risk (HR =2.61; 95% CI: 1.75-3.88; P<0.001). Compared with localized disease, unknown tumor stage was linked to a 75% lower mortality risk (HR =0.25; 95% CI: 0.09-0.71; P=0.009), likely reflecting data limitations rather than a true protective effect. Advanced tumor stage significantly impacted OS (P=0.007). The nomogram incorporating age, race, laterality, tumor stage, surgical intervention, chemotherapy, and RT demonstrated good discriminative ability, with area under the curve (AUC) values of 0.707, 0.740, and 0.752 for 1-, 3-, and 5-year OS prediction, respectively. Conclusions: An association between RT and increased mortality risk was observed in patients with middle ear malignancies; however, this finding should be interpreted cautiously due to potential confounding and treatment selection bias inherent in retrospective database analyses. Age and tumor stage were identified as important prognostic factors. The developed nomogram offers a practical tool for individualized survival prediction to aid clinical decision-making. Prospective studies are needed to validate these findings and clarify the role of RT in this patient population.

Indexed as

middle ear malignancynomogramRadiotherapy (RT)Surveillance, Epidemiology, and End Results (SEER)survival

Identifiers

PMID41969438
PMCPMC13066997

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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.