Cargando…

Prognostic Tools for Older Women with Breast Cancer: A Systematic Review

Background: Breast cancer is the most common cancer in women, and older patients comprise an increasing proportion of patients with this disease. The older breast cancer population is heterogenous with unique factors affecting clinical decision making. While many models have been developed and teste...

Descripción completa

Detalles Bibliográficos
Autores principales: Record, Sydney M., Chanenchuk, Tori, Parrish, Kendra M., Kaplan, Samantha J., Kimmick, Gretchen, Plichta, Jennifer K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534323/
https://www.ncbi.nlm.nih.gov/pubmed/37763695
http://dx.doi.org/10.3390/medicina59091576
_version_ 1785112366999928832
author Record, Sydney M.
Chanenchuk, Tori
Parrish, Kendra M.
Kaplan, Samantha J.
Kimmick, Gretchen
Plichta, Jennifer K.
author_facet Record, Sydney M.
Chanenchuk, Tori
Parrish, Kendra M.
Kaplan, Samantha J.
Kimmick, Gretchen
Plichta, Jennifer K.
author_sort Record, Sydney M.
collection PubMed
description Background: Breast cancer is the most common cancer in women, and older patients comprise an increasing proportion of patients with this disease. The older breast cancer population is heterogenous with unique factors affecting clinical decision making. While many models have been developed and tested for breast cancer patients of all ages, tools specifically developed for older patients with breast cancer have not been recently reviewed. We systematically reviewed prognostic models developed and/or validated for older patients with breast cancer. Methods: We conducted a systematic search in 3 electronic databases. We identified original studies that were published prior to 8 November 2022 and presented the development and/or validation of models based mainly on clinico-pathological factors to predict response to treatment, recurrence, and/or mortality in older patients with breast cancer. The PROBAST was used to assess the ROB and applicability of each included tool. Results: We screened titles and abstracts of 7316 records. This generated 126 studies for a full text review. We identified 17 eligible articles, all of which presented tool development. The models were developed between 1996 and 2022, mostly using national registry data. The prognostic models were mainly developed in the United States (n = 7; 41%). For the derivation cohorts, the median sample size was 213 (interquartile range, 81–845). For the 17 included modes, the median number of predictive factors was 7 (4.5–10). Conclusions: There have been several studies focused on developing prognostic tools specifically for older patients with breast cancer, and the predictions made by these tools vary widely to include response to treatment, recurrence, and mortality. While external validation was rare, we found that it was typically concordant with interval validation results. Studies that were not validated or only internally validated still require external validation. However, most of the models presented in this review represent promising tools for clinical application in the care of older patients with breast cancer.
format Online
Article
Text
id pubmed-10534323
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-105343232023-09-29 Prognostic Tools for Older Women with Breast Cancer: A Systematic Review Record, Sydney M. Chanenchuk, Tori Parrish, Kendra M. Kaplan, Samantha J. Kimmick, Gretchen Plichta, Jennifer K. Medicina (Kaunas) Systematic Review Background: Breast cancer is the most common cancer in women, and older patients comprise an increasing proportion of patients with this disease. The older breast cancer population is heterogenous with unique factors affecting clinical decision making. While many models have been developed and tested for breast cancer patients of all ages, tools specifically developed for older patients with breast cancer have not been recently reviewed. We systematically reviewed prognostic models developed and/or validated for older patients with breast cancer. Methods: We conducted a systematic search in 3 electronic databases. We identified original studies that were published prior to 8 November 2022 and presented the development and/or validation of models based mainly on clinico-pathological factors to predict response to treatment, recurrence, and/or mortality in older patients with breast cancer. The PROBAST was used to assess the ROB and applicability of each included tool. Results: We screened titles and abstracts of 7316 records. This generated 126 studies for a full text review. We identified 17 eligible articles, all of which presented tool development. The models were developed between 1996 and 2022, mostly using national registry data. The prognostic models were mainly developed in the United States (n = 7; 41%). For the derivation cohorts, the median sample size was 213 (interquartile range, 81–845). For the 17 included modes, the median number of predictive factors was 7 (4.5–10). Conclusions: There have been several studies focused on developing prognostic tools specifically for older patients with breast cancer, and the predictions made by these tools vary widely to include response to treatment, recurrence, and mortality. While external validation was rare, we found that it was typically concordant with interval validation results. Studies that were not validated or only internally validated still require external validation. However, most of the models presented in this review represent promising tools for clinical application in the care of older patients with breast cancer. MDPI 2023-08-30 /pmc/articles/PMC10534323/ /pubmed/37763695 http://dx.doi.org/10.3390/medicina59091576 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Systematic Review
Record, Sydney M.
Chanenchuk, Tori
Parrish, Kendra M.
Kaplan, Samantha J.
Kimmick, Gretchen
Plichta, Jennifer K.
Prognostic Tools for Older Women with Breast Cancer: A Systematic Review
title Prognostic Tools for Older Women with Breast Cancer: A Systematic Review
title_full Prognostic Tools for Older Women with Breast Cancer: A Systematic Review
title_fullStr Prognostic Tools for Older Women with Breast Cancer: A Systematic Review
title_full_unstemmed Prognostic Tools for Older Women with Breast Cancer: A Systematic Review
title_short Prognostic Tools for Older Women with Breast Cancer: A Systematic Review
title_sort prognostic tools for older women with breast cancer: a systematic review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534323/
https://www.ncbi.nlm.nih.gov/pubmed/37763695
http://dx.doi.org/10.3390/medicina59091576
work_keys_str_mv AT recordsydneym prognostictoolsforolderwomenwithbreastcancerasystematicreview
AT chanenchuktori prognostictoolsforolderwomenwithbreastcancerasystematicreview
AT parrishkendram prognostictoolsforolderwomenwithbreastcancerasystematicreview
AT kaplansamanthaj prognostictoolsforolderwomenwithbreastcancerasystematicreview
AT kimmickgretchen prognostictoolsforolderwomenwithbreastcancerasystematicreview
AT plichtajenniferk prognostictoolsforolderwomenwithbreastcancerasystematicreview