ArticleBMC cancer2024
Prediction of the axillary lymph-node metastatic burden of breast cancer by
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05826197 (A Study on the Construction of a Comprehensive Predictive Model for Axillary Lymph Node Metastasis in Breast Cancer), which is not on this map. Cited by 2 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.
A Study on the Construction of a Comprehensive Predictive Model for Axillary Lymph Node Metastasis in Breast Cancer
Who cites it
2 citing papers in PubMed.
- Prediction of axillary nodal burden using preoperative magnetic resonance imaging scoring in patients with clinically node-negative breast cancer: a retrospective cohort study.Gland surgery · 2024Article
- Predictive and Prognostic Values of Glycoprotein 96, Androgen Receptors, and Extranodal Extension in Sentinel Lymph Node-Positive Breast Cancer: An Immunohistochemical Retrospective Study.Journal of clinical medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundThe axillary lymph-node metastatic burden is closely associated with treatment decisions and prognosis in breast cancer patients. This study aimed to explore the value of
methodsA retrospective analysis was conducted and involved 124 patients with pathologically confirmed early-stage breast cancer who had undergone
resultsThe ultrasound lymph-node positivity rate and PET lymph-node positivity rate in the high nodal burden group were significantly higher than those in the low nodal burden group (χ
conclusionA MultiP model based on PET-based radiomics was able to effectively predict axillary lymph-node metastatic burden in breast cancer.
trial registrationThis study was registered with ClinicalTrials.gov (registration number: NCT05826197) on May 7, 2023.
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Registered trials
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