Methods and implementation of a Hospital-Based Cancer Registry in a major city in a low-to middle-income country: the case of Cali, Colombia.

PURPOSE: To describe our experience upon developing and implementing a hospital-based cancer registry (HBCR) in a quaternary-level of care private non-profit academic medical center in Cali, Colombia. METHODS: HBCRs capture, in a given institution, every single patient with a confirmed malignancy. In this study, all cases evaluated between 2014 and 2018 were included in the HBCR. In compliance with the International Agency for Research on Cancer recommendations, cases were classified as analytic or non-analytic. Data derived from an exhaustive selection of patients was stored in a computing platform owned by the institution, meeting the 2016 Facility Oncology Registry Data Standards recommendations. Quality control was performed by evaluating comparability, timeliness, validity, and completeness. RESULTS: A total of 24,405 new cases were registered between 2014 and 2018, from which 4253 (17.4%) died. Among all cases, based on the anatomic location, most common malignancies were breast (n = 1554), thyroid (n = 1346), hematolymphoid (n = 1251), prostatic (n = 805), and colorectal (n = 624). The behavior of the new cases was consistent with an incremental trend. CONCLUSION: Upon implementing the HBCR, major challenges were identified (i.e., a precise definition of cases, the development of processes for capturing new cases, a standardized data collection strategy, and carrying-out an appropriate patient follow-up). Based on our experience, the success of an HBCR largely relies on the interest from the institution, the engagement of stakeholders and financial support, that is, it depends on the adequate access over time to funding, technological, and staffing resources.

Mortality from anti-personnel mines before and during the Colombian peace process / Mortalidad secundaria a minas antipersona antes y durante el proceso de paz colombiano

Abstract Introduction: Although the peace process in Colombia resulted in a significant reduction in the number of anti-personnel mines across the country, there are no reliable data on the effects of this phenomenon on outcomes for patients who were victims of these devices. Objective: The objective of this study was to assess mortality from landmine injuries before and during the Colombian peace process. Furthermore possible associations between peace negotiations and mortality were explored. Methods: For this study, we used the "Colombian Victims of Antipersonnel Mines Injuries registry" (MAP/MUSE database) data from 2002 to 2018. This registry was launched in 2001 by the government of Colombia with the aim of prospectively and systematically collect information on all the cases of anti-personnel mine injuries in the country. The period between 2002-2012 was classified as the pre-negotiation period (período de guerra), and 2014-2018 as the peace negotiations period, with 2013 classified as a washout year. Multivariate logistic regression was used to explore the association between peace negotiations and mortality among anti-personnel landmine injured individuals. Results: A total of 10306 landmine injury cases were registered. Of these, 1180 (11.4%) occurred in the peace-negotiation period. Mortality was significantly lower during the period of peace negotiations. After adjusting for sex, age group, race, active duty soldier status, rural area, and geographic Departamentos case volumes, the peace negotiation period was found to be associated with lower risk-adjusted odds of mortality after suffering a landmine injury (OR= 0.6, 95% CI, 0.5-0.7; p<0.001). Conclusions: Our findings suggest an association between the period of peace negotiation and a lower likelihood of mortality among victims of anti-personnel landmines.

Resumen Introducción: Aunque el proceso de paz colombiano produjo una reducción en la cantidad de minas antipersona en el país, no hay estimativos sobre el efecto de este fenómeno en los desenlaces de los pacientes víctimas de estos artefactos. Objetivo: Nuestro objetivo fue evaluar la mortalidad por minas antipersona antes y durante la negociación del proceso de paz en Colombia. Además, exploramos posibles asociaciones entre las negociaciones de paz y la mortalidad. Métodos: Para este estudio utilizamos los datos del "Registro de víctimas colombianas de lesiones de minas antipersona" (base de datos MAP / MUSE) de 2002 a 2018. Este registro fue lanzado en 2001 por el gobierno de Colombia con el objetivo de recolectar información de manera prospectiva y sistemática de los casos de trauma por minas antipersona en el país. Clasificamos el período comprendido entre 2002 y 2012 como el período previo a la negociación (período de guerra), el comprendido entre 2014 y 2018 como el período de negociaciones de paz y el año 2013 como período de "depuración". Se utilizaron modelos de regresión logística multivariados para explorar las asociaciones entre las negociaciones de paz y la mortalidad. Resultados: Se registraron un total de 10306 casos de lesiones por minas antipersona. De estos, 1180 (11.4%) ocurrieron en el período de negociación de paz. La mortalidad fue significativamente menor durante el período de negociaciones de paz. El análisis de regresión logística multivariado determinó que el período de negociación de paz se asoció con una menor probabilidad de mortalidad después de sufrir una lesión por minas antipersona (OR = 0,6, IC 95%, 0,5-0,7; p <0,001). Conclusiones: Nuestros hallazgos sugieren una asociación entre el período de negociación de paz y una menor probabilidad de mortalidad entre las víctimas de las minas antipersona.

Differentiating Dengue from COVID-19: Comparison of Cases in Colombia.

The differentiation between dengue and COVID-19 diagnoses is a challenge in tropical regions because of the similarity of symptoms and limited access to specific diagnostic tests for each disease. The objective of this study was to describe the initial symptoms and laboratory test values of patients who presented to the emergency department with dengue or COVID-19. A cross-sectional study was performed in a single center in Cali, Colombia. The inclusion criteria were patients with a diagnosis of dengue or COVID-19 who were older than 14 years of age. All patients experienced fever or other symptoms for fewer than 10 days. Linear regression was performed to evaluate the differences in the neutrophil-lymphocyte ratio (NLR) between patients diagnosed with COVID-19 and dengue, and was adjusted for sex and age group (≤ 31 and > 31 years). The sample size was calculated to test the hypothesis that the median NLR in COVID-19 patients is higher than that in dengue patients. A P value < 0.05 was considered statistically significant for all analyses. A total of 93 patients were included: 70 with dengue and 23 with COVID-19. Dengue patients were younger than COVID-19 patients. There were significant differences between dengue and COVID-19 patients regarding platelet count (P < 0.01), neutrophil count (P < 0.01), NLR (P < 0.01), and abnormal alanine transaminase (ALT) (P = 0.03). The NLR was significantly higher in COVID-19 patients than in dengue patients (P < 0.01). In conclusion, during the first week of symptoms, absolute neutrophil count, NLR, and platelet count could help guide the initial differential approach between dengue and COVID-19. These findings could be useful in geographical areas with a lack of resources.

Mobile Applications: Breaking Barriers to Early Breast and Cervical Cancer Detection in Underserved Communities.

BACKGROUND: Although potentially curable with early detection and timely treatment, breast cancer (BC) and cervical cancer (CC) remain leading causes of death for Colombian women. Lack of education, complicated administrative processes, and geographic limitations hinder early cancer detection. Today, technological tools permeate the society and could assess user risk, deliver customized information, and provide care coordination. We evaluated the effectiveness of a free mobile application (mApp) to reach women, understand misconceptions, identify users at risk for BC and/or CC, and coordinate screening tests in Cali, Colombia. METHODS: The mApp was developed and advertised in four healthcare facility waiting rooms. It used educational, evaluative, and risk factor questions followed by brief explanations to assess the population's knowledge, educate on BC and/or CC, and identify users in need of screening test(s). Women who required screening were navigated and enrolled in the national cancer program. RESULTS: From August 2017 to August 2019, 1,043 women downloaded the mApp. BC misconceptions included beliefs that BC can be prevented (87%), obesity does not increase the risk of BC (49%), and deodorant causes BC (17%). CC misconceptions included that pap smears should not be performed while sexually active (64%), vaginal pain is an early sign of CC (44%), and only women contract human papilloma virus (33%). Overall, 29% (303) were identified as at risk and needed a screening test, with 32% (98) successfully screened. DISCUSSION: mApps can identify women at risk for BC and/or CC, detect barriers to early cancer detection, and help coordinate screening test(s). This technology has widespread applications and may be useful in other underserved communities.

Coffee Consumption and Its Inverse Relationship with Gastric Cancer: An Ecological Study.

Coffee is the second most popular drink worldwide, and it has various components with antioxidant and antitumor properties. Due to its chemical composition, it could act as an antitumor substance in the gastrointestinal tract. The objective of this study was to explore the relationship between coffee consumption and the incidence/mortality of stomach cancer in the highest-consuming countries. An ecological study using Spearman's correlation coefficient was performed. The WorldAtlas's dataset of coffee consumption and the incidence/mortality rates database of the International Agency for Research were used as sources of information. A total of 25 countries were entered to the study. There was an inverse linear correlation between coffee consumption in kg per person per year and estimated age-adjusted incidence (r = 0.5984, p = 0.0016) and mortality (r = 0.5877, p = 0.0020) of stomach cancer. Coffee may potentially have beneficial effects on the incidence and mortality of stomach cancer, as supported by the data from each country analyzed.

[Application of alternative parametric models for the survival analysis of cancer patients]. / Aplicación de modelos paramétricos alternativos para el análisis de supervivencia de pacientes con cáncer.

This article describes a methodology that allows an approach to alternative right-censored probabilistic models for the analysis of survival, different to those usually studied (exponential, gamma, Weibull, and log-normal distribution) since it is possible that the data do not always fit with sufficient precision due to existing distributions. The methodology used allows for greater flexibility when modeling extreme observations, generally located in the right tail of data distribution, which admits that some events still have the probability of occurring, which is not the case with traditional models and the Kaplan-Meier estimator, which estimates for the longest times, survival probabilities approximately equal to zero. To show the usefulness of the methodological proposal, we considered an application with real data that relates survival times of patients with colon cancer (CC).

En el presente artículo se describe una metodología que permite tener un acercamiento a modelos probabilísticos alternativos para el análisis de supervivencia, con censura por la derecha, distintos a los que usualmente se estudian (distribución: exponencial, gamma, Weibull y log-normal), ya que es posible que los datos no se ajusten siempre con suficiente precisión por las distribuciones existentes. La metodología utilizada permite mayor flexibilidad de modelar observaciones extremas, ubicadas generalmente en la cola derecha de la distribución de los datos, lo cual admite que algunos eventos aún tengan la probabilidad de ocurrir, lo que no sucede con los modelos tradicionales y el estimador de Kaplan-Meier, el cual estima para los tiempos más prolongados, probabilidades de supervivencia aproximadamente iguales a cero. Para mostrar la utilidad de la propuesta metodológica, se consideró una aplicación con datos reales que relaciona tiempos de supervivencia de pacientes con cáncer de colon.

Aplicación de modelos paramétricos alternativos para el análisis de supervivencia de pacientes con cáncer / Application of alternative parametric models for the survival analysis of cancer patients

RESUMEN En el presente artículo se describe una metodología que permite tener un acercamiento a modelos probabilísticos alternativos para el análisis de supervivencia, con censura por la derecha, distintos a los que usualmente se estudian (distribución: exponencial, gamma, Weibull y log-normal), ya que es posible que los datos no se ajusten siempre con suficiente precisión por las distribuciones existentes. La metodología utilizada permite mayor flexibilidad de modelar observaciones extremas, ubicadas generalmente en la cola derecha de la distribución de los datos, lo cual admite que algunos eventos aún tengan la probabilidad de ocurrir, lo que no sucede con los modelos tradicionales y el estimador de Kaplan-Meier, el cual estima para los tiempos más prolongados, probabilidades de supervivencia aproximadamente iguales a cero. Para mostrar la utilidad de la propuesta metodológica, se consideró una aplicación con datos reales que relaciona tiempos de supervivencia de pacientes con cáncer de colon.

ABSTRACT This article describes a methodology that allows an approach to alternative right-censored probabilistic models for the analysis of survival, different to those usually studied (exponential, gamma, Weibull, and log-normal distribution) since it is possible that the data do not always fit with sufficient precision due to existing distributions. The methodology used allows for greater flexibility when modeling extreme observations, generally located in the right tail of data distribution, which admits that some events still have the probability of occurring, which is not the case with traditional models and the Kaplan-Meier estimator, which estimates for the longest times, survival probabilities approximately equal to zero. To show the usefulness of the methodological proposal, we considered an application with real data that relates survival times of patients with colon cancer (CC).