ArticleOncology letters2024
Molecular subtype and risk of local recurrence after nipple‑sparing mastectomy for breast cancer.
Article in Oncology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Postmastectomy Breast Reconstruction in Patients with Non-Metastatic Breast Cancer: A Systematic Review.Current oncology (Toronto, Ont.) · 2025Pooled it
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to investigate whether local recurrence (LR) after nipple-sparing mastectomy (NSM) and reconstruction was associated with i) Ki67 values and molecular subtypes of the initial lesions, and ii) the size of the initial tumor and the size of the implant. A total of 156 patients with breast cancer with a mean age of 51.58 years (age range, 26-75 years) who underwent NSM with primary implant breast reconstruction were analyzed. After surgery, the mean follow-up time was 59.26 months (range, 17-85 months). Molecular subtypes, Ki67 values, estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) status were recorded for each patient. Additionally, information regarding the size of the implant and the initial tumor size were collected. The information was used to assess LR. For univariate analyses of risk factors, χ
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