ReviewCurrent oncology reports2015
Treatment of Breast Cancer in the Elderly.
Review in Current oncology reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Trial
- Clinical outcomes of sacituzumab govitecan in older patients with metastatic triple-negative breast cancer: a multinational real-world study.The oncologist · 2026Article
- Prognostic Factors and Models for Elderly (≥70 Years Old) Primary Operable Triple-Negative Breast Cancer: Analysis From the National Cancer Database.Frontiers in endocrinology · 2022Article
- Stress-induced phosphoprotein 1 facilitates breast cancer cell progression and indicates poor prognosis for breast cancer patients.Human cell · 2021Article
- Acute toxicity and tolerability of anthracycline-based chemotherapy regimens in older versus younger patients with breast cancer: real-world data.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021Article
- Article
- A 17-gene expression-based prognostic signature associated with the prognosis of patients with breast cancer: A STROBE-compliant study.Medicine · 2020Observational
- Alterations in Immune-Related Genes as Potential Marker of Prognosis in Breast Cancer.Frontiers in oncology · 2020Article
- Optimal treatment of breast cancer in women older than 75 years: a Korea Breast Cancer Registry analysis.Breast cancer research and treatment · 2019Article
- Treatment Strategies in Octogenarians with Early-Stage, High-Risk Breast Cancer.Annals of surgical oncology · 2018Article
- Early-Stage Breast Cancer in the Octogenarian: Tumor Characteristics, Treatment Choices, and Clinical Outcomes.Annals of surgical oncology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the fact that the US population is aging and the numbers of older patients with breast cancer are increasing, many questions remain on how to optimally treat this patient population. Accrual of older cancer patients to clinical trials has been stagnant, and consequently, evidence-based recommendations are often limited by a lack of prospective data to inform decisions. Increasingly, one's functional status has been recognized as a critical factor in predicting for treatment toxicity, and tools such as the geriatric assessment will likely become a routine part of clinical practice over time. Here, adjuvant treatment considerations for older patients will be reviewed, including what is known about treatment efficacy, utilization patterns, and toxicity for older breast cancer patients. Improving enrollment of older patients onto clinical trials should be a national priority; it is only through prospective assessment that we can improve our approaches to treating our older patients with cancer.
Indexed as
Identifiers
26412227What OpenQuestion holds
Registered trials
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.