Mathematical Prediction Models for Sentinel Node Status in Early-Stage Breast Cancer: Protocol for a Systematic Review

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Publication Details

Journal
JMIR Research Protocols
Published
2026-03-23
DOI
https://doi.org/10.2196/82523
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
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article

Mathematical Prediction Models for Sentinel Node Status in Early-Stage Breast Cancer: Protocol for a Systematic Review

Justin James, Emily Schembri, Michael Law, Kirti Mehta et al.
JMIR Research Protocols
Breast Cancer Treatment Studies
article

Mathematical Prediction Models for Sentinel Node Status in Early-Stage Breast Cancer: Protocol for a Systematic Review

Justin James, Emily Schembri, Michael Law, Kirti Mehta, Christobel Saunders, Tegan Ormston, Shomik Sengupta, Mohammadali Ahmadipour
article en

Abstract

No abstract available for this paper.
JMIR Research ProtocolsVol. 15
Deakin University (AU), Eastern Health (AU)
Openalex Percentile: Top 13%
Breast Cancer Treatment Studies
DOIOpen Access PDFOpenAlex
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Mathematical Prediction Models for Sentinel Node Status in Early-Stage Breast Cancer: Protocol for a Systematic Review — Justin James, Emily Schembri, et al. · JMIR Research Protocols (2026) | TGRS Research Map | TGRS