Sentinel lymph node biopsy (SLNB) is the current standard of care for @entity0 with no clinically palpable axillary lymph nodes. Almost 50  % of sentinel lymph node positive @entity1 have negative non-sentinel nodes and undergo non-therapeutic axillary dissection. Five different scoring systems, reported in the literature, were compared for their predictive ability of non- @entity4298 involvement in @entity1 with @entity4298 positive @entity0 . 242 @entity1 who underwent breast surgery and SLNB were included in the study. Of these, 70 who were confirmed to have @entity4298 @entity3 and received complementary ALND and constituted the final study population. The nomograms (MSKCC, M.D. Anderson @entity5 Center, Tenon model, Stanford and Turkish) were statistically compared for their prediction of non- @entity4298 @entity3 (95  % confidence interval). We have determined only two clinicopathologic (multifocality and size of the @entity5 ) situations which have a statistically significant association between @entity4298 @entity3 with using a multivariate logistic regression analysis. Multifocality (P  =  0.001) and size of the @entity5 (P  =  0.001) were associated with a higher probability of- @entity4298 @entity3 . No predictive model was constructed that showed good area under the curve (AUC) discrimination in the validation series. Currently published predictive models lack accuracy when applied to a different population. Multi-institutional heterogenic population studies are important to determine the exact combination of scoring systems and/or nomograms.

Comparison of five different popular scoring systems to predict nonsentinel lymph node status in XXXX with metastatic sentinel lymph nodes: a tertiary care center experience.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancers', 'breast cancer'] @entity5 :: ('MESH:D009369', 'Disease') :: ['primary tumor', 'Cancer'] @entity4298 :: ('6588', 'Gene') :: ['SLN'] @entity3 :: ('MESH:D009362', 'Disease') :: ['metastasis']
@entity1 :: (9606,Species) :: ['patients']
