2020
DOI: 10.1186/s12885-020-07594-7
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Risk stratification for prediction of locoregional recurrence in patients with pathologic T1–2N0 breast cancer after mastectomy

Abstract: Background Previous studies have revealed that nearly 15–20% of selected high-risk T1–2N0 breast cancers developed LRR after mastectomy. This study is aim to indentify the risk factors of locoregional recurrence (LRR) in patients with pathologic T1–2N0 breast cancer after mastectomy in a real-world and distinguish individuals who warrant postmastectomy radiotherapy (PMRT). Methods Female patients treated from 1999 to 2014 in National Cancer Center of China were retrospectively reviewed. A competing risk model… Show more

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Cited by 5 publications
(4 citation statements)
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“…The probabilities of pathologic nodal stage N0, N1, N2, or N3 disease on SLNB were determined from clinical trial results of patients undergoing full axillary dissection in this population (Table 1). 5,7 Annual health‐state transition probabilities were determined from pragmatic clinical trial data and their external validation studies 5,7,10,12,17‐22,42 . Cumulative incidences for the outcomes of interest reported in these studies including recurrence, metastases, and death were converted to rates and subsequently to annual probabilities using rate to probability equations as previously described (Supporting Methods 2, Supporting Table 2).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The probabilities of pathologic nodal stage N0, N1, N2, or N3 disease on SLNB were determined from clinical trial results of patients undergoing full axillary dissection in this population (Table 1). 5,7 Annual health‐state transition probabilities were determined from pragmatic clinical trial data and their external validation studies 5,7,10,12,17‐22,42 . Cumulative incidences for the outcomes of interest reported in these studies including recurrence, metastases, and death were converted to rates and subsequently to annual probabilities using rate to probability equations as previously described (Supporting Methods 2, Supporting Table 2).…”
Section: Methodsmentioning
confidence: 99%
“…5,7 Annual health-state transition probabilities were determined from pragmatic clinical trial data and their external validation studies. 5,7,10,12,[17][18][19][20][21][22]42 Cumulative incidences for the outcomes of interest reported in these studies including recurrence, metastases, and death were converted to rates and subsequently to annual probabilities using rate to probability equations as previously described…”
Section: Health-state Transition Probabilitiesmentioning
confidence: 99%
“…5 Tumor related factors such as human epidermal growth factor receptor 2 (HER-2) positive, triple negative, estrogen receptor (ER) and progesterone receptor (PR) negative, size of tumour, tumour grade, tumour located on inner quadrant, lymphovascular invasion close/ positive margins and more advanced disease are known to increase recurrence risks. 15,[19][20][21] The lack of clear conclusions in the literature regarding IBR complicates clinical decision-making and patient education. Conducting a systematic review and meta-analysis may provide valuable insights into this extensively debated issue.…”
Section: Introductionmentioning
confidence: 99%
“…About 3.9% of early stage breast cancer patients suffered from loco-regional recurrence (LRR) after a 5-year follow-up in a large analysis including 4841 patients who underwent mastectomy. 1,7 The impairment of immunity by surgery and general anesthesia was a major reason of cancer recurrence and metastases. 8 Immune therapy is an effective strategy for cancer treatment, and has achieved great success in recent years.…”
Section: Introductionmentioning
confidence: 99%