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Objective: To evaluate treatment outcomes in patients from a low-middle income country (LMIC) with esophageal carcinoma who underwent esophagectomy after neoadjuvant chemoradiation (NACRT/S). Methods: Between 2010 and 2020, 254 patients (median follow-up: 53 months) met our inclusion criteria. Out-of-field nodal regions were determined by reviewing individual radiotherapy plans. Cox regression modelling was performed to analyze overall survival (OS) and recurrence-free survival (RFS), while pathological complete response (pCR) prediction utilized Poisson regression. Results: The median OS was 71.4 months (interquartile range: 19.6–∞), RFS did not reach the median and pCR rate was 46%. On multivariable Cox regression, BMI [0.93 (0.89–0.98); 0.94 (0.89–0.99)] and absence of out-of-field node with extranodal extension (ENE)[0.22 (0.09–0.53); 0.30 (0.12–0.75)] influenced OS and RFS, respectively. Age [1.03 (1.01–1.06)], nodal stage [cN2-3 vs cN0: 2.67 (1.08–6.57)] and adventitial involvement [2.54 (1.36–4.72)] also influenced OS, while involved margins [3.12 (1.24–7.81)] influenced RFS. On multivariable Poisson regression, non-CROSS-chemotherapy regimens [0.65 (0.44–0.95)] and residual primary disease on pre-surgical imaging [0.73 (0.57–0.93)] were significantly associated with pCR. The most frequently involved in-field and out-of-field nodal regions were the periesophageal and perigastric (greater and lesser curvature) regions, respectively. Conclusion: NACRT/S is feasible and effective in patients from LMIC. Out-of-field ENE merits further investigation as a prognostic factor since it significantly influenced both OS and RFS. Advances in knowledge: The results of clinical trials are replicable in LMICs. Out-of-field ENE is an independent prognostic factor for OS and RFS.

Our Oncology Information Systems (OIS) with local User Documentation manages the medical data explored in this 26 item report of a minimal medical dataset. Over 10 years to 2016, 12906 diagnoses were registered (ICD10: C00-C80), with 18.84% of cases, and 63.9% of data points complete. Two sites were quality assured with high completion rates (Hamp;N - 97.4% [4.26% of total cases], RECTUM - 88.74% [4.06%]). Sites lacking clinician attention varied from poor (eg, LUNG - 23.23% [13.24%]) to largely incomplete (eg, BRAIN - 2.01% [0.38%]).This disappointing medical data completion rate makes its use in a 'Big Data' effort suspect. Data extrapolation is compromised by variable natural history. Extrapolation techniques are unlikely to cope with only 18.84% complete data. Data mining requires input from domain experts. The 4 requirements of Big Data are not evident in oncological data.

This article is an analysis and reflection on the role of lists and diagrams in Start where you are, a multimedia improvisational piece performed as part of square zero independent dance festival: the second edition/la deuxieme edition. This interdisciplinary festival was organised by collective (gulp) dance projects and took place in Ottawa, Canada, in August 2005. Start where you are was the result of a collaboration between the authors: two dance artists (Andrew and MacKinnon, the principals of (gulp)) and a visual communication designer (Gillieson). A sound artist and a lighting technician also participated in the work. This is a post-performance retrospective meant to analyze more closely the experience that meshed the evidentiary weight of words and graphics with the ephemerality and subjectivity of movement-based live performance. It contextualizes some of the work of collective (gulp) within a larger tradition of improvisation in modern dance. It also looks at how choice-making processes are central to improvisation, how they relate to Start, and how linguistic material can intersect with and support improvisational performance. Lastly, it examines some characteristics of lists and diagrams, unique forms of visual language that are potentially rich sources of material for improvisation.