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Preoperative Prognostic Index for Patients with Brain Metastases-A Population-Based Multi-Centre Study.
Winther, Rebecca Rootwelt; Skovlund, Eva; Andreassen, Joakim Stray; Arvidsson, Lisa; Halvardson, Jonathan; Solheim, Ole; Bartek, Jiri; Kaasa, Stein; Hjermstad, Marianne Jensen; Vik-Mo, Einar Osland.
Afiliação
  • Winther RR; European Palliative Care Research Centre (PRC), Department of Oncology, Oslo University Hospital, Institute of Clinical Medicine, University of Oslo, 4956 Oslo, Norway.
  • Skovlund E; Department of Public Health and Nursing, Norwegian University of Science and Technology, 7034 Trondheim, Norway.
  • Andreassen JS; Department of Neurosurgery, St. Olavs University Hospital, 7030 Trondheim, Norway.
  • Arvidsson L; Department of Neurosurgery, Karolinska University Hospital, 17164 Stockholm, Sweden.
  • Halvardson J; Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden.
  • Solheim O; Department of Neurosurgery, Karolinska University Hospital, 17164 Stockholm, Sweden.
  • Bartek J; Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden.
  • Kaasa S; Department of Neurosurgery, St. Olavs University Hospital, 7030 Trondheim, Norway.
  • Hjermstad MJ; Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, 7034 Trondheim, Norway.
  • Vik-Mo EO; Department of Neurosurgery, Karolinska University Hospital, 17164 Stockholm, Sweden.
Cancers (Basel) ; 15(12)2023 Jun 13.
Article em En | MEDLINE | ID: mdl-37370784
ABSTRACT

BACKGROUND:

Brain metastases (BM) are common in cancer patients and are associated with high morbidity and mortality. Surgery is an option, but the optimal selection of patients for surgery is challenging and controversial. Current prognostication tools are not ideal for preoperative prognostication. By using a reference population (derivation data set) and two external populations (validation data set) of patients who underwent surgery for BM, we aimed to create and validate a preoperative prognostic index.

METHODS:

The derivation data set consists of 590 patients who underwent surgery for BM (2011-2018) at Oslo University Hospital. We identified variables associated with survival and created a preoperative prognostic index with four prognostic groups, which was validated on patients who underwent surgery for BM at Karolinska University Hospital and St. Olavs University Hospital during the same time period. To reduce over-fitting, we adjusted the index in accordance with our findings.

RESULTS:

438 patients were included in the validation data set. The preoperative prognostic index correctly divided patients into four true prognostic groups. The two prognostic groups with the poorest survival outcomes overlapped, and these were merged to create the adjusted preoperative prognostic index.

CONCLUSION:

We created a prognostic index for patients with BM that predicts overall survival preoperatively. This index might be valuable in supporting informed choice when considering surgery for BM.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Noruega

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Noruega