Unadjusted breast cancer mortality as a function of the estimated log odds of nodal involvement in T1–T2 breast cancer

<p><b>Copyright information:</b></p><p>Taken from "Ratios of involved nodes in early breast cancer"</p><p>Breast Cancer Research 2004;6(6):R680-R688.</p><p>Published online 6 Oct 2004</p><p>PMCID:PMC1064081.</p><p>Copyright © 2004 Vinh-Hung et al.; licensee BioMed Central Ltd</p> Red dots are node-negative patients, and blue are node-positive patients. The smallest dots represent 1–20 patients and the largest dots represent >200 patients. The straight lines highlight the different slopes but should not be interpreted as the basis for extrapolation (they would extrapolate to 100% mortalities)

Joint effect of the numbers of involved nodes (npos) and uninvolved nodes (nneg) on survival in T1–T2 breast cancer

<p><b>Copyright information:</b></p><p>Taken from "Ratios of involved nodes in early breast cancer"</p><p>Breast Cancer Research 2004;6(6):R680-R688.</p><p>Published online 6 Oct 2004</p><p>PMCID:PMC1064081.</p><p>Copyright © 2004 Vinh-Hung et al.; licensee BioMed Central Ltd</p> Part of the contour plot was partially filled at the corners by padding. The pattern of isoprobability contours radiating from the origin suggests that similar ratios of involved/uninvolved nodes were associated with similar Kaplan–Meier survival estimates (for example. 8 npos/10 nneg has approximately the same 75% [contour line 0.75] 5-year survival chance as 4 npos/5 nneg). Reproduced with permission from Vin-Hung and coworkers [28]. Colors were omitted in the original publication

Unadjusted breast-cancer mortality as a function of the percentage of involved nodes in T1–T2 breast cancer based on the SEER (Surveillance, Epidemiology, and End Results) program data

<p><b>Copyright information:</b></p><p>Taken from "Ratios of involved nodes in early breast cancer"</p><p>Breast Cancer Research 2004;6(6):R680-R688.</p><p>Published online 6 Oct 2004</p><p>PMCID:PMC1064081.</p><p>Copyright © 2004 Vinh-Hung et al.; licensee BioMed Central Ltd</p> Dot size computed as a step function of the number of patients at risk: smallest dots 1–20 patients and the largest dots >200 patients. The straight line highlights the trend but should not be interpreted as the basis for extrapolation