ReviewBioMed research international2018
Current Strategies of Endocrine Therapy in Elderly Patients with Breast Cancer.
Review in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 25 citations in OpenAlex.
- Conditional survival prediction in elderly patients with hormone receptor positive locally advanced breast cancer using a competing risks model.Discover oncology · 2025Article
- Article
- Therapeutic Approaches to Increase the Survival Rate of Cancer Patients in the Younger and Older Population.Current aging science · 2024Review
- Management Strategies for Older Patients with Low-Risk Early-Stage Breast Cancer: A Physician Survey.Current oncology (Toronto, Ont.) · 2021Article
- Perspectives and limits of cancer treatment in an oldest old population.Aging clinical and experimental research · 2021Article
- Nomogram for Predicting Breast Cancer-Specific Mortality of Elderly Women with Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- MicroRNA-181d-5p-Containing Exosomes Derived from CAFs Promote EMT by Regulating CDX2/HOXA5 in Breast Cancer.Molecular therapy. Nucleic acids · 2020Article
- Combination of circulating miR-145-5p/miR-191-5p as biomarker for breast cancer detection.PeerJ · 2020Article
- Down-regulated long non-coding RNA RNAZFHX4-AS1 suppresses invasion and migration of breast cancer cells via FAT4-dependent Hippo signaling pathway.Cancer gene therapy · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, the growing population of the elderly is one of biggest problems in terms of increase in geriatric diseases. Lack of data from large prospective studies on geriatric breast cancer patients often makes it difficult for clinicians to make treatments decisions for them. Because both benefit and risk of treatment should be taken into account, treatment is usually determined considering life expectancy or comorbidities in elderly patients. Treatment of breast cancer is differentiated according to histologic classifications, and hormone therapy is even adopted for patients with metastatic breast cancer if tumor tissue expresses hormone receptors. Endocrine therapy can offer great benefit to elderly patients considering its equivalent efficacy to chemotherapy with fewer toxicities if it is appropriately used. Aromatase inhibitors are usually prescribed agents in hormone therapy for elderly breast cancer patients due to their physiology after menopause. Here, endocrine therapy for elderly patients with breast cancer in neoadjuvant, adjuvant, and palliative setting is reviewed along with predictive adverse events resulting from the use of hormone agents.
Indexed as
Identifiers
What 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.