<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ajani JA</submitter><funding>River Creek Foundation</funding><funding>Kevin Fund</funding><funding>Anderson&amp;apos;s Cancer Center Support</funding><funding>Multidisciplinary Research Program at MD Anderson Cancer Center</funding><funding>Aaron and Martha Schecter Private Foundation</funding><funding>NCI NIH HHS</funding><funding>National Institutes of Health</funding><funding>Dallas, Park, Smith, and Cantu family funds</funding><funding>Sultan Fund</funding><pagination>2638-2642</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3457750</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(10)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Approximately 25% of patients with esophageal cancer (EC) who undergo preoperative chemoradiation, achieve a pathologic complete response (pathCR). We hypothesized that a model based on clinical parameters could predict pathCR with a high (≥60%) probability.&lt;h4>Patients and methods&lt;/h4>We analyzed 322 patients with EC who underwent preoperative chemoradiation. All the patients had baseline and postchemoradiation positron emission tomography (PET) and pre- and postchemoradiation endoscopic biopsy. Logistic regression models were used for analysis, and cross-validation via the bootstrap method was carried out to test the model.&lt;h4>Results&lt;/h4>The 70 (21.7%) patients who achieved a pathCR lived longer (median overall survival [OS], 79.76 months) than the 252 patients who di</pubmed_abstract><journal>Annals of oncology : official journal of the European Society for Medical Oncology</journal><pubmed_title>Clinical parameters model for predicting pathologic complete response following preoperative chemoradiation in patients with esophageal cancer.</pubmed_title><pmcid>PMC3457750</pmcid><funding_grant_id>CA016672</funding_grant_id><funding_grant_id>P30 CA016672</funding_grant_id><pubmed_authors>Ajani JA</pubmed_authors><pubmed_authors>Welsh J</pubmed_authors><pubmed_authors>Macapinlac HA</pubmed_authors><pubmed_authors>Rice DC</pubmed_authors><pubmed_authors>Lin SH</pubmed_authors><pubmed_authors>Mehran RJ</pubmed_authors><pubmed_authors>Swisher SG</pubmed_authors><pubmed_authors>Suzuki A</pubmed_authors><pubmed_authors>Maru DM</pubmed_authors><pubmed_authors>Vaporciyan AA</pubmed_authors><pubmed_authors>Correa AM</pubmed_authors><pubmed_authors>Bhutani MS</pubmed_authors><pubmed_authors>Taketa T</pubmed_authors><pubmed_authors>Blum MA</pubmed_authors><pubmed_authors>Hofstetter WL</pubmed_authors><pubmed_authors>Komaki R</pubmed_authors><pubmed_authors>Erasmus J</pubmed_authors><pubmed_authors>Lee JH</pubmed_authors><pubmed_authors>Ross WA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clinical parameters model for predicting pathologic complete response following preoperative chemoradiation in patients with esophageal cancer.</name><description>&lt;h4>Background&lt;/h4>Approximately 25% of patients with esophageal cancer (EC) who undergo preoperative chemoradiation, achieve a pathologic complete response (pathCR). We hypothesized that a model based on clinical parameters could predict pathCR with a high (≥60%) probability.&lt;h4>Patients and methods&lt;/h4>We analyzed 322 patients with EC who underwent preoperative chemoradiation. All the patients had baseline and postchemoradiation positron emission tomography (PET) and pre- and postchemoradiation endoscopic biopsy. Logistic regression models were used for analysis, and cross-validation via the bootstrap method was carried out to test the model.&lt;h4>Results&lt;/h4>The 70 (21.7%) patients who achieved a pathCR lived longer (median overall survival [OS], 79.76 months) than the 252 patients who di</description><dates><release>2012-01-01T00:00:00Z</release><publication>2012 Oct</publication><modification>2025-04-04T12:04:51.652Z</modification><creation>2019-03-27T00:58:21Z</creation></dates><accession>S-EPMC3457750</accession><cross_references><pubmed>22831985</pubmed><doi>10.1093/annonc/mds210</doi></cross_references></HashMap>