ArticleInternational journal of environmental research and public health2020
Body Composition in Women after Radical Mastectomy.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Phase angle assessed by bioelectrical impedance analysis in patients with colorectal cancer: a systematic review.Frontiers in oncology · 2026Pooled it
- Predictive Value of circ_0020850 for Functional Outcomes After Acute Ischemic Stroke in Hospitalized Convalescent Patients.Biochemical genetics · 2026Article
- Analysis of Body Composition and Levels of Antimicrobial Peptides in Patients with Basal Cell Carcinoma: A Preliminary Study.Journal of clinical medicine · 2025Article
- Bioelectrical Impedance Analysis (BIA) for the Assessment of Body Composition in Oncology: A Scoping Review.Nutrients · 2023Article
- Engineering liquid metal-based nanozyme for enhancing microwave dynamic therapy in breast cancer PDX model.Journal of nanobiotechnology · 2023Article
- A Mixed-apprOach program To help women wIth breast cancer stay actiVE (MOTIVE program): A pilot-controlled study.Heliyon · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of the study was to analyse the body composition among women after radical mastectomy. The body compositions of 30 women after radical mastectomy (study group) were compared with those of 30 healthy females (control group). The method of electrical bioimpedance was used to analyse body composition. The significant differences between the groups, unfavourable for women, following mastectomy concerned body mass (
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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.