Related Experiment Video
Updated: Aug 10, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Brief cognitive screening as a prognostic tool in geriatric oncology: A Brazilian cohort study
Isabella F Gattás-Vernaglia1, Márlon Juliano Romero Aliberti2, Paulo Vinicius Toazza de Oliveira3
1Division of Geriatrics, Department of Internal Medicine, São Paulo Cancer Institute (ICESP), University of Sao Paulo Medical School, São Paulo, Brazil; Laboratorio de Investigação Medica em Envelhecimento (LIM-66), Serviço de Geriatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Brazil; Research Institute, Hospital Sirio-Libanes, Sao Paulo, Brazil.
Introduction:
Cognitive impairment is common in older adults with cancer but often remains undetected due to time constraints and limited specialized resources in routine oncology care. We evaluated whether a 2-min cognitive screener predicts all-cause mortality in this population and explored whether functional dependence mediates this association.
Material And Methods:
We conducted a longitudinal study of consecutive patients aged ≥60 years with cancer who were referred for geriatric oncology assessment at a tertiary outpatient cancer center in Brazil. Cognitive status was assessed using the 10-point Cognitive Screener (10-CS), a brief clinical tool that evaluates orientation, memory, and verbal fluency. Cognitive impairment was defined as 10-CS scores ≤5. We used Cox proportional hazards models to examine the association between 10-CS scores and 3-year all-cause mortality, as well as sociodemographic factors, comorbidities, cancer type, metastasis, and sensory deficits. Harrell's C-index was calculated to assess whether adding 10-CS improved mortality discrimination. Mediation analysis incorporated activities of daily living (ADLs) dependence.
Results:
Among 508 patients (mean age = 78.0 ± 7.1 years; female = 42.5%), 224 (44.1%) had cognitive impairment. Of these, 87 (38.8%) had no previous cognitive impairment documented in their medical records. Three-year mortality was higher among patients with impairment (63.6% vs 37.4%, p < 0.001). After adjustment, cognitive impairment remained strongly associated with mortality (HR = 1.87; 95% CI: 1.38-2.54). Adding 10-CS to the model with sociodemographic, comorbidities, and cancer variables improved mortality discrimination (Harrell's C-index 0.72 vs. 0.68; p = 0.01). The 10-CS stratified mortality across subgroups defined by the absence (40.0% vs. 62.9%; p < 0.001) or presence (25.1% vs. 63.6%; p < 0.001) of previous chart-documented cognitive impairment or dementia. Cognitive impairment was associated with dependence in ADL (adjusted prevalence ratio = 4.01; 95% CI = 2.57-6.25). Disability mediated part of the effect on 3-year all-cause mortality, but 62% remained unexplained, indicating that most of the association was independent of functional decline.
Discussion:
Cognitive impairment evaluated with the 10-CS predicted 3-year all-cause mortality in older adults with cancer. This brief clinical tool provided valuable prognostic information beyond standard oncology measures and may assist clinicians in identifying high-risk patients whose cognitive impairment might otherwise go unrecognized.

