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Additional file 2 Supplementary Table 5. Short-term (six-months) comorbidity status mortality risk adjusted for sex, age, province of residence, smoking status, cancer surgery, histology, TNM stage, and BMI among lung cancer patients in Girona and Granada, Spain in 2011 (n = 1259 lung cancer patients and 581 deaths at six-months after cancer diagnosis).

Additional file 1 Supplementary Table 1. Histology group classification. Supplementary Table 2. Comorbidities and their diagnostic ICD-10 codes. Supplementary Table 3. Comorbidity status, vital status at six-months, sociodemographic characteristics: smoking status, province of residence, BMI, cancer surgery, morphology and TNM stage among lung cancer patients diagnosed between 2010 and 2012, in two population-based Spanish cancer registries: Girona and Granada (n = 1259 lung cancer patients and 581 deaths at six-months after cancer diagnosis). Supplementary Table 4. Top 5 most frequent multimorbidity patterns with 2 or 3 comorbidities and 6-month mortality risk among lung cancer patients diagnosed between 2011 and 2012, in two population-based Spanish cancer registries: Girona and Granada (n = 1259 and 581 deaths at six-months after cancer diagnosis).

Miguel Angel Luque-Fernandez,1– 3 Daniel Redondo-Sánchez,1,2 Miguel Rodríguez-Barranco,1,2,4 Yoe-Ling Chang-Chan,1,4 Elena Salamanca-Fernández,1,2 Olivier Núñez,2,5 Pablo Fernandez-Navarro,2,5 Marina Pollán,2,5 María-José Sánchez1,2,4,6 1Instituto de Investigación Biosanitaria de Granada, Non-Communicable Disease and Cancer Epidemiology Group, ibs.GRANADA, University of Granada, Granada, Spain; 2Biomedical Network Research Centers of Epidemiology and Public Health (CIBERESP), Madrid, Spain; 3London School of Hygiene and Tropical Medicine, Non-Communicable Disease Epidemiology, London, UK; 4Andalusian School of Public Health, Granada, Spain; 5National Centre of Epidemiology, Health Institute Carlos III (CNE-ISCIII), Madrid, Spain; 6Department of Preventive Medicine and Public Health, University of Granada, Granada, SpainCorrespondence: Miguel Angel Luque-FernandezAndalusian School of Public Health, Cuesta Del Observatorio, 4, Granada 18080, SpainEmail miguel-angel.luque@lshtm.ac.ukBackground: Colorectal cancer (CRC) is the most frequently diagnosed cancer in Spain. Socioeconomic inequalities in cancer survival are not documented in Spain. We aim to study the association of socioeconomic inequalities with overall mortality and survival among CRC patients in southern Spain.Methods: We conducted a multilevel population-based cohort study, including CRC cases for the period 2011– 2013. The study time-to-event outcome was death, and the primary exposure was CRC patients’ socioeconomic status assessed by the Spanish deprivation index at the census tract level. We used a mixed-effects flexible hazard model, including census tract as a random intercept, to derive overall survival estimates by deprivation.Results: Among 3589 CRC patients and 12,148 person-years at risk (pyr), 964 patients died before the end of the follow-up. Mortality by deprivation showed the highest mortality rate for the most deprived group (96.2 per 1000 pyr, 95% CI: 84.0– 110.2). After adjusting for sex, age, cancer stage, and the area of residence, the most deprived had a 60% higher excess mortality risk than the less deprived group (excess mortality risk ratio: 1.6, 95% CI: 1.1– 2.3).Conclusions: We found a consistent association between deprivation and CRC excess mortality and survival. The reasons behind these inequalities need further investigation in order to improve equality cancer outcomes in all social groups.Keywords: socioeconomic inequalities, colorectal cancer, survival, population-based epidemiology, epidemiological methods, multilevel

Additional file 2. Probability (%) of condition present as single or multiple comorbidity, by deprivation group (lung cancer). Additional results in complement to those presented in Fig. 3: graphs representing the probability of having any of nine comorbid conditions in lung cancer patients.

Additional file 2. Probability (%) of condition present as single or multiple comorbidity, by deprivation group (lung cancer). Additional results in complement to those presented in Fig. 3: graphs representing the probability of having any of nine comorbid conditions in lung cancer patients.

Additional file 3. Probability (%) of condition present as single or multiple comorbidity, by deprivation group (rectal cancer). Additional results in complement to those presented in Fig. 3: graphs representing the probability of having any of nine comorbid conditions in rectal cancer patients.

Additional file 1. Materials and method, and model specification and formulae.

Additional file 1. Supplementary methods

Additional file 2. Supplementary contextual factors of the cities

Study flowchart. (DOCX 44 kb)

Robust standard error estimation for generalized linear models. (PDF 104 kb)

Estudio descriptivo de los casos de tuberculosis detectados por el Sistema de Vigilancia Epidemiológica en Baleares, en el trienio de 2005 a 2007. El objetivo fue caracterizar los casos infradeclarados en términos sociodemográficos y de su contacto con la atención primaria de salud. Globalmente, la infradeclaración de la tuberculosis se sitúa en torno al 20%. Las características que resultan significativas en el análisis multivariado son la marginalidad social (alcoholismo, usuarios de drogas por vía parenteral o indigencia) (odds ratio ajustada [ORa] : 2,6 [1,2-5,3]), el contacto con la atención primaria (ORa : 3,2 [1,4-7,1]) y la tuberculosis extrapulmonar (ORa : 5,5 [3,2-9,6]). Se recomienda reforzar la notificación de los especialistas hospitalarios mediante la adecuación informática de la historia clínica hospitalaria, y se observa que la información obtenida desde la informatización de la historia en atención primaria resulta de utilidad para mejorar la vigilancia epidemiológica de la tuberculosis. We performed a descriptive study of tuberculosis cases detected by the Epidemiological Surveillance System in the Balearic Islands in the triennium 2005-2007. Our goal was to characterize underreported cases in sociodemographic terms and their contact with primary care. Overall, underreporting of tuberculosis was approximately 20%. Significant factors in multivariate analysis were social marginality (consisting of alcoholism, intravenous drug use or indigence) (aOR: 2.6 [1.2 to 5.3]), contact with primary care (aOR: 3.2 [1.4 to 7.1]), and extrapulmonary tuberculosis (aOR: 5.5[3.2-9.6]). We recommend strengthening notification by hospital specialists through the use of hospital electronic records. Our findings show that the information obtained from the primary care computerized history is helpful in improving the epidemiological surveillance of tuberculosis.