ArticleNPJ breast cancer2021
Sentinel node involvement with or without completion axillary lymph node dissection: treatment and pathologic results of randomized SERC trial.
Article in NPJ breast cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Small Triple-Negative and HER2-Positive Early Breast Cancer: Upfront Surgery or Neoadjuvant Chemotherapy?Cancers · 2026Review
- Omission of Sentinel Lymph Node Biopsy in Early-Stage Breast Cancer: Expanding Evidence in Clinically Node-Negative and Neoadjuvant Therapy Responders.World journal of oncology · 2026Review
- De-Escalation of Axillary Surgery: A Review of Choosing Wisely Guideline Evidence.World journal of oncology · 2026Review
- Mapping the current landscape of locoregional therapy de-escalation trials in early breast cancer: a systematic review.NPJ breast cancer · 2025Article
- MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer.Journal of translational medicine · 2024Article
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- An exploratory study of whether axillary lymph node dissection can be avoided in breast cancer patients with positive lymph nodes.Translational cancer research · 2024Article
- The Ongoing Necessity of Sentinel Lymph Node Biopsy for cT1-2N0 Breast Cancer Patients.Breast care (Basel, Switzerland) · 2023Article
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Corrections and comments
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Authors and funding
32 authors at 20 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Based on results of clinical trials, completion ALND (cALND) is frequently not performed for patients with breast conservation therapy and one or two involved sentinel nodes (SN) by micro- or macro-metastases. However, there were limitations despite a conclusion of non-inferiority for cALND omission. No trial had included patients with SN macro-metastases and total mastectomy or with >2 SN macro-metastases. The aim of the study was too analyze treatment delivered and pathologic results of patients included in SERC trial. SERC trial is a multicenter randomized non-inferiority phase-3 trial comparing no cALND with cALND in cT0-1-2, cN0 patients with SN ITC (isolated tumor cells) or micro-metastases or macro-metastases, mastectomy or breast conservative surgery. We randomized 1855 patients, 929 to receive cALND and 926 SLNB alone. No significant differences in patient's and tumor characteristics, type of surgery, and adjuvant chemotherapy (AC) were observed between the two arms. Rates of involved SN nodes by ITC, micro-metastases, and macro-metastases were 5.91%, 28.12%, and 65.97%, respectively, without significant difference between two arms for all criteria. In multivariate analysis, two factors were associated with higher positive non-SN rate: no AC versus AC administered after ALND (OR = 3.32, p < 0.0001) and >2 involved SN versus ≤2 (OR = 3.45, p = 0.0258). Crude rates of positive NSN were 17.62% (74/420) and 26.45% (73/276) for patient's eligible and non-eligible to ACOSOG-Z0011 trial. No significant differences in patient's and tumor characteristics and treatment delivered were observed between the two arms. Higher positive-NSN rate was observed for patients with AC performed after ALND (17.65% for SN micro-metastases, 35.22% for SN macro-metastases) in comparison with AC administered before ALND.
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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.