Publications by authors named "D A Reim"

Background: The purpose of this retrospective study was to evaluate the value of contrast-enhanced computed tomography (CE-CT) image features at baseline and after neoadjuvant chemotherapy in predicting histopathological response in patients with adenocarcinoma of the gastroesophageal junction (GEJ).

Methods: A total of 105 patients with a diagnosis of adenocarcinoma of the GEJ were examined by CE-CT at baseline and preoperatively after neoadjuvant chemotherapy. All patients underwent surgical resection.

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Objective: The aim of this study was to evaluate whether the configuration of anastomotic doughnuts from upper gastrointestinal surgeries was associated with anastomotic leakage (AL).

Background: AL is a severe postoperative complication after upper gastrointestinal cancer surgeries. AL is associated with an increase in overall and cancer-related morbidity and mortality in patients with esophageal and gastric cancer.

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Objective: This study aimed to evaluate all mesh-related problems during reoperations after mesh-reinforcement 15 years after the start of the PRIMA trial. SUMMARY BACKGROUND DATA Prophylactic mesh reinforcement during closure of a midline laparotomy has proven to reduce the incidence of incisional hernia, especially in high-risk patients, but long-term mesh-related morbidity is largely unknown.

Methods: Patients receiving a prophylactic onlay or retro-rectus mesh in the PRIMA trial between 2009 and 2012 were included on an as-treated basis from participating centers that made reoperation notes available.

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Objective: To evaluate outcomes after primary surgery (PS) or neoadjuvant treatment followed by surgery (NAT/S) in cT2 staged adenocarcinomas of the esophagus (EAC) and gastroesophageal junction (GEJ), a multinational high-volume center study was undertaken.

Background: The optimal treatment approach with either NAT/S or PS for clinically staged cT2cN any or cT2N0 EAC and GEJ remains unknown due to the lack of randomized controlled trials.

Methods: A retrospective analysis of prospectively maintained databases from 10 centers was performed.

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Background: Radical gastrectomy remains the main treatment for gastric cancer, despite its high mortality. A clinical predictive model of 90-day mortality (90DM) risk after gastric cancer surgery based on the Spanish EURECCA registry database was developed using a matching learning algorithm. We performed an external validation of this model based on data from an international multicenter cohort of patients.

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