Multicentre cohort study to define and validate pathological assessment of response to neoadjuvant therapy in oesophagogastric adenocarcinomaFergus Noble, Megan Lloyd, Richard Turkington et al.|British journal of surgery|2017 BACKGROUND: This multicentre cohort study sought to define a robust pathological indicator of clinically meaningful response to neoadjuvant chemotherapy in oesophageal adenocarcinoma. METHODS: A questionnaire was distributed to 11 UK upper gastrointestinal cancer centres to determine the use of assessment of response to neoadjuvant chemotherapy. Records of consecutive patients undergoing oesophagogastric resection at seven centres between January 2000 and December 2013 were reviewed. Pathological response to neoadjuvant chemotherapy was assessed using the Mandard Tumour Regression Grade (TRG) and lymph node downstaging. RESULTS: TRG (8 of 11 centres) was the most widely used system to assess response to neoadjuvant chemotherapy, but there was discordance on how it was used in practice. Of 1392 patients, 1293 had TRG assessment; data were available for clinical and pathological nodal status (cN and pN) in 981 patients, and TRG, cN and pN in 885. There was a significant difference in survival between responders (TRG 1-2; median overall survival (OS) not reached) and non-responders (TRG 3-5; median OS 2·22 (95 per cent c.i. 1·94 to 2·51) years; P < 0·001); the hazard ratio was 2·46 (95 per cent c.i. 1·22 to 4·95; P = 0·012). Among local non-responders, the presence of lymph node downstaging was associated with significantly improved OS compared with that of patients without lymph node downstaging (median OS not reached versus 1·92 (1·68 to 2·16) years; P < 0·001). CONCLUSION: A clinically meaningful local response to neoadjuvant chemotherapy was restricted to the small minority of patients (14·8 per cent) with TRG 1-2. Among local non-responders, a subset of patients (21·3 per cent) derived benefit from neoadjuvant chemotherapy by lymph node downstaging and their survival mirrored that of local responders.
Timing of urgent laparoscopic cholecystectomy does not influence conversion rateJS Knight, S Mercer, Shaw Somers et al.|British journal of surgery|2004 BACKGROUND: The optimal treatment of acute gallstone disease is urgent laparoscopic cholecystectomy, but there is confusion about the effect of delay in operation on conversion rates. Most reports suggest that delay beyond 3 or 4 days leads to a higher conversion rate. This study assessed the conversion rate in relation to the timing of laparoscopic surgery. METHODS: This institution operates a specialist-led protocol for the urgent management of all admissions with acute gallstone disease. Data were collected prospectively over 6 months. RESULTS: Between March and August 2002, 84 patients with acute gallstone disease underwent urgent laparoscopic cholecystectomy at the index admission with an overall conversion rate of 12 per cent. Four of 40 procedures carried out within 3 days of admission were converted, compared with six of 44 after 3 days. Five of 46 carried out within 4 days of admission were converted, compared with five of 38 after 4 days. There were no deaths and one common bile duct injury. CONCLUSION: As long as the procedure is carried out by experienced upper gastrointestinal surgeons working within a specialist-led protocol, the conversion rate for laparoscopic cholecystectomy can be as low as 12 per cent. The timing of urgent laparoscopic cholecystectomy has no impact on the conversion rate.
A national propensity score-matched analysis of emergency laparoscopic versus open abdominal surgeryPhilip H. Pucher, H Mackenzie, Vanessa Tucker et al.|British journal of surgery|2021 BACKGROUND: Laparoscopy has been widely adopted in elective abdominal surgery but is still sparsely used in emergency settings. The study investigated the effect of laparoscopic emergency surgery using a population database. METHODS: Data for all patients from December 2013 to November 2018 were retrieved from the NELA national database of emergency laparotomy for England and Wales. Laparoscopically attempted cases were matched 2 : 1 with open cases for propensity score derived from a logistic regression model for surgical approach; included co-variates were age, gender, predicted mortality risk, and diagnostic, procedural and surgeon variables. Groups were compared for mortality. Secondary endpoints were blood loss and duration of hospital stay. RESULTS: Of 116 920 patients considered, 17 040 underwent laparoscopic surgery. The most common procedures were colectomy, adhesiolysis, washout and perforated ulcer repair. Of these, 11 753 were matched exactly to 23 506 patients who had open surgery. Laparoscopically attempted surgery was associated with lower mortality (6.0 versus 9.1 per cent, P < 0.001), blood loss (less than 100 ml, 64.4 versus 52.0 per cent, P < 0.001), and duration of hospital stay (median 8 (i.q.r. 5-14) versus 10 (7-18) days, P < 0.001). Similar trends were seen when comparing only successful laparoscopic cases with open surgery, and also when comparing cases converted to open surgery with open surgery. CONCLUSION: In appropriately selected patients, laparoscopy is associated with superior outcomes compared with open emergency surgery.
Diagnostic criteria and symptom grading for delayed gastric conduit emptying after esophagectomy for cancer: international expert consensus based on a modified Delphi processDelayed gastric conduit emptying (DGCE) after esophagectomy for cancer is associated with adverse outcomes and troubling symptoms. Widely accepted diagnostic criteria and a symptom grading tool for DGCE are missing. This hampers the interpretation and comparison of studies. A modified Delphi process, using repeated web-based questionnaires, combined with live interim group discussions was conducted by 33 experts within the field, from Europe, North America, and Asia. DGCE was divided into early DGCE if present within 14 days of surgery and late if present later than 14 days after surgery. The final criteria for early DGCE, accepted by 25 of 27 (93%) experts, were as follows: >500 mL diurnal nasogastric tube output measured on the morning of postoperative day 5 or later or >100% increased gastric tube width on frontal chest x-ray projection together with the presence of an air-fluid level. The final criteria for late DGCE accepted by 89% of the experts were as follows: the patient should have 'quite a bit' or 'very much' of at least two of the following symptoms; early satiety/fullness, vomiting, nausea, regurgitation or inability to meet caloric need by oral intake and delayed contrast passage on upper gastrointestinal water-soluble contrast radiogram or on timed barium swallow. A symptom grading tool for late DGCE was constructed grading each symptom as: 'not at all', 'a little', 'quite a bit', or 'very much', generating 0, 1, 2, or 3 points, respectively. For the five symptoms retained in the diagnostic criteria for late DGCE, the minimum score would be 0, and the maximum score would be 15. The final symptom grading tool for late DGCE was accepted by 27 of 31 (87%) experts. For the first time, diagnostic criteria for early and late DGCE and a symptom grading tool for late DGCE are available, based on an international expert consensus process.
Machine learning to predict early recurrence after oesophageal cancer surgerySaqib Rahman, Robert Walker, Megan Lloyd et al.|British journal of surgery|2020 BACKGROUND: Early cancer recurrence after oesophagectomy is a common problem, with an incidence of 20-30 per cent despite the widespread use of neoadjuvant treatment. Quantification of this risk is difficult and existing models perform poorly. This study aimed to develop a predictive model for early recurrence after surgery for oesophageal adenocarcinoma using a large multinational cohort and machine learning approaches. METHODS: Consecutive patients who underwent oesophagectomy for adenocarcinoma and had neoadjuvant treatment in one Dutch and six UK oesophagogastric units were analysed. Using clinical characteristics and postoperative histopathology, models were generated using elastic net regression (ELR) and the machine learning methods random forest (RF) and extreme gradient boosting (XGB). Finally, a combined (ensemble) model of these was generated. The relative importance of factors to outcome was calculated as a percentage contribution to the model. RESULTS: A total of 812 patients were included. The recurrence rate at less than 1 year was 29·1 per cent. All of the models demonstrated good discrimination. Internally validated areas under the receiver operating characteristic (ROC) curve (AUCs) were similar, with the ensemble model performing best (AUC 0·791 for ELR, 0·801 for RF, 0·804 for XGB, 0·805 for ensemble). Performance was similar when internal-external validation was used (validation across sites, AUC 0·804 for ensemble). In the final model, the most important variables were number of positive lymph nodes (25·7 per cent) and lymphovascular invasion (16·9 per cent). CONCLUSION: The model derived using machine learning approaches and an international data set provided excellent performance in quantifying the risk of early recurrence after surgery, and will be useful in prognostication for clinicians and patients.