Evidence map›Paper›PMID 41915248›Full record

ArticleInternational journal of clinical oncology2026

A new preoperative scoring system to predict overall survival in patients undergoing surgical removal of brain metastasis.

Shohei Yokoyama, Ryosuke Matsuda, Tsutomu Nakazawa, Kengo Yamada, Hiromichi Hayami, Yudai Morisaki, Kenta Nakase, Masashi Kotsugi, Yasuhiro Takeshima, Shuichi Yamada and 3 more

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Article in International journal of clinical oncology, 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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13 authors.

Shohei YokoyamaDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Ryosuke MatsudaDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan. rmatsuda@naramed-u.ac.jp.ORCID http://orcid.org/0000-0002-0307-3657
Tsutomu NakazawaDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Kengo YamadaDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Hiromichi HayamiDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Yudai MorisakiDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Kenta NakaseDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Masashi KotsugiDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Yasuhiro TakeshimaDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Shuichi YamadaDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Fumihiko NishimuraDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Young-Soo ParkDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.
Ichiro NakagawaDepartment of Neurosurgery, Nara Medical University, 840 Shijo-cho, Kashihara, Nara, 634-8522, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognosis for patients with cancer with brain metastasis (BM) requiring surgical removal is relatively limited. Here, we propose a novel predictive scoring system based on preoperative information for overall survival.

methodsThe study involved 240 consecutive patients with BM who were treated with surgical removal at our institution between January 2011 and December 2023. Among the 240 patients, we analyzed 185 patients with sufficient blood test data and follow-up. The blood test data, including neutrophils and lymphocytes, were collected for the neutrophil/lymphocyte ratio (NLR).

resultsThe multivariate Cox proportional hazards model revealed that age ≥ 65 years, higher NLR ≥ 3.5, preoperative KPS < 80, and extracranial metastasis were unfavorable predictors of prognosis for the patients treated with surgical removal for BM. A 0-5-point scoring system was created, with 1 point assigned to preoperative KPS < 80, age ≥ 65 years, and extracranial metastasis, and 2 points assigned to higher NLR ≥ 3.5. Patients with 0-1, 2-3, and 4-5 points were assigned to groups 1, 2, and 3, respectively. The median survival time from surgery of the entire cohort was 11 months and that of groups 1, 2, and 3 was 44.3, 14.1, and 5.3 months, respectively. The three groups had significantly different median survival times (p < 0.001), with higher scores corresponding to shorter survival times.

conclusionOur new predictive scoring system is a simple and highly feasible model that can be used to predict overall survival in patients with BM requiring surgical removal.

Indexed as

Brain NeoplasmsAdultAgedAged, 80 and overFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsPrognosisProportional Hazards ModelsBlood cell countBrain metastasisNeutrophil/lymphocyte ratioPredictive scoring system

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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.