BACKGROUND: A pathologically complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) is seen in 30% of the @entity1 with @entity5 . The aim is to identify @entity1 and @entity5 characteristics associated with a pCR and to develop a nomogram for the prediction of pCR. @entity1 AND METHODS: @entity1 who underwent nCRT followed by surgery were identified and response to nCRT was assessed according to a modified Mandard classification in the resection specimen. A model was developed with age, gender, histology and location of the @entity5 , differentiation grade, @entity285 use, smoking, percentage @entity353 , Charlson Comorbidity Index (CCI), cT-stage and cN-stage as potential predictors for pCR. Probability of pCR was studied via logistic regression. Performance of the prediction nomogram was quantified using the concordance statistic (c-statistic) and corrected for optimism. RESULTS: A total of 381 @entity1 were included. After surgery, 27.6% of the @entity5 showed a pCR. Female sex, squamous cell histology, poor differentiation grade, and low cT-stage were predictive for a pCR with a c-statistic of 0.64 (corrected for optimism). CONCLUSION: A nomogram for the prediction of pathologically complete response after neoadjuvant chemoradiotherapy was developed, with a reasonable predictive power. This nomogram needs external validation before it can be used for individualised clinical decision-making.

Nomogram for predicting pathologically complete response after neoadjuvant chemoradiotherapy for XXXX .

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients', 'patient', 'PATIENTS'] @entity285 :: ('D000431', 'Chemical') :: ['alcohol'] @entity5 :: ('MESH:D009369', 'Disease') :: ['oesophageal cancer', 'tumours', 'tumour'] @entity353 :: ('MESH:D015431', 'Disease') :: ['weight loss']
@entity5 :: (MESH:D009369,Disease) :: ['oesophageal cancer']
