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BACKGROUND: Observational studies have reported that total (poly)phenol intake is associated with a reduction in all-cause and cardiovascular mortality, but mainly from high-income countries, where (poly)phenol intake may differ from that of low- and middle-income countries. OBJECTIVES: Our objective was to evaluate the association between the intake of total, all classes, and subclasses of (poly)phenols and risk of all-cause and cause-specific mortality in a Mexican cohort. METHODS: We used data from the Mexican Teachers' Cohort, which included 95,313 adult females. After a median follow-up of 11.2 y, 1725 deaths were reported, including 674 from cancer and 282 from cardiovascular diseases. (Poly)phenol intake was estimated using a validated food frequency questionnaire and the Phenol-Explorer database. Multivariable Cox models were applied to estimate the association between (poly)phenol intake and all-cause mortality and competitive risk models for cause-specific mortality. RESULTS: Comparing extreme quartiles, total (poly)phenol intake was associated with lower risk of all-cause [hazard ratio (HR)Q4vs.Q1: 0.88; 95% CI: 0.76, 0.99; P-trend = 0.01] and cancer mortality (HRQ4vs.Q1: 0.81; 95% CI: 0.64, 0.99; P-trend = 0.02). Among (poly)phenol classes, phenolic acids, particularly hydroxycinnamic acids from coffee, showed an inverse association with all-cause (HRQ4vs.Q1: 0.79; 95% CI: 0.69, 0.91; P-trend = 0.002) and cancer mortality (HRQ4vs.Q1: 0.75; 95% CI: 0.61, 0.94; P-trend = 0.03). No associations were observed with flavonoids or with cardiovascular mortality. CONCLUSION: Our study suggests that high (poly)phenol intake, primarily consisting of phenolic acids such as hydroxycinnamic acids, may have a protective effect on overall and cancer mortality. Null associations for flavonoid intake might be due to the potential underestimation of their intake in this population.

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OBJECTIVE: To estimate prostate cancer (PC) survival in Mexico and explore survival disparities according to the marginalization level of residence place. MATERIALS AND METHODS: A nationwide administrative claims database (4 110 men) whose PC treatment was financed by Seguro Popular between 2012-2016, was cross-linked to the National Mortality Registry up to December 2019. Patients were classified according to their oncological risk at diagnosis and the marginalization level of the residence municipality. Cox proportional hazards regression was used to estimate multivariable survival functions. RESULTS: Five-years PC survival (69%; 95%CI: 68,71%) ranged from 72% to 54% at very low and very high marginalization, respectively (p for trend<0.001). The lowest PC survival was observed in men with high-risk PC (47%; 95%CI: 33,66%) residents in very high marginalization municipalities. CONCLUSIONS: Overall, PC survival was lower than that reported in other Latin American countries. The distribution of oncologic risk and survival differences across marginalization levels suggests limited early detection and cancer health disparities.

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OBJECTIVE: To assess the effectiveness of seven Covid-19 vaccines in preventing disease progression (DP) using data from national private sector workers during the Omicron wave in Mexico from January 2 to March 5, 2022. MATERIALS AND METHODS: This study employed an administrative retrospective cohort design, analyzing DP (hospitalization or death due to respiratory disease) among workers who filed a respiratory short-term disability claim and tested positive for SARS-CoV-2. Risk ratios (RRadj) were estimated using Poisson regression models adjusted for various factors. RESULTS: Vaccinated individuals had a lower risk of hospitalization and death compared with unvaccinated individuals. The overall RRadj for hospitalization and death were 0.36 (95%CI 0.32, 0.41) and 0.24 (0.17, 0.33), respectively. When evaluating vaccines individually, the RRadj for hospitalization were as follows Pfizer BioNTech 0.27 (95%CI 0.22, 0.33), Moderna 0.29 (95%CI 0.15, 0.57), Sinovac 0.32 (95%CI 0.25, 0.41), AstraZeneca 0.39 (95%CI 0.34, 0.46), Sputnik 0.39 (95%CI 0.28, 0.53), CanSino 0.41 (95%CI 0.24, 0.7), and Janssen 0.53 (95%CI 0.39, 0.72). The RRadj for death were as follows: Pfizer BioNTech 0.12 (95%CI 0.07, 0.19), Sputnik 0.15 (95%CI 0.06, 0.38), Sinovac 0.29 (95%CI 0.16, 0.53), AstraZeneca 0.30 (95%CI 0.20, 0.44), CanSino 0.38 (95%CI 0.1, 1.4), and Janssen 0.50 (95%CI 0.26, 0.97). CONCLUSION: Covid-19 vaccines significantly reduced the risk of severe disease during the Omicron wave in Mexico.

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OBJECTIVE: To examine the association between low-intensity smoking (10 or less cigarettes per day) and all-cause and cause-specific mortality risk among women who smoke and by age at cessation among women who previously smoked. METHODS: In this study, 104 717 female participants of the Mexican Teachers' Cohort Study were categorised according to self-reported smoking status at baseline (2006/2008) and were followed for mortality through 2019. We estimated HRs and 95% CIs for all-cause and cause-specific mortality using multivariable Cox proportional hazards regression models with age as the underlying time metric. RESULTS: Smoking as few as one to two cigarettes per day was associated with higher mortality risk for all causes (HR: 1.36; 95% CI 1.10 to 1.67) and all cancers (HR: 1.46; 95% CI 1.05 to 2.02), compared with never smoking. Similarly, slightly higher HRs were observed among participants smoking ≥3 cigarettes per day (all causes HR: 1.43; 95% CI 1.19 to 1.70; all cancers HR: 1.48; 95% CI 1.10 to 1.97; cardiovascular disease HR: 1.58; 95% CI 1.09 to 2.28). CONCLUSIONS: In this large study of Mexican women, low-intensity smoking was associated with higher mortality risk for all causes and all cancers. Interventions are needed to promote cessation among women who smoke at low-intensity in Mexico, regardless of how few cigarettes they smoke per day.

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Background: Essential indicators of health system performance for breast cancer are lacking in Mexico. We estimated survival and clinical stage distribution for women without social insurance who were treated under a health financing scheme that covered 60% of the Mexican population. Methods: We conducted a retrospective cohort study cross-linking reimbursement claims for 56,847 women treated for breast cancer between 2007 and 2016 to a mortality registry. We estimated overall- and clinical stage-specific survival and breast cancer survival according to patient age, state of residence, marginalization, type of treatment facility, and patient volume of the treatment facility. We also explored the distribution of clinical stage according to age, year of treatment initiation, and state where the woman was treated. We used log-rank tests and estimated 95% CIs to compare differences between patient groups. Findings: Median age was 52 years (interquartile range [IQR] 45, 61) (Sixty five percent patients (36,731/56,847) had advanced disease at treatment initiation. Five-year overall survival was 72.2% (95% CI 71.7, 72.6). For early disease (excluding stage 0), 5-year overall survival was 89.0% (95% CI 88.4, 89.5), for locally advanced disease 69.9% (95% CI 69.0, 70.2) and for metastatic 36.9% (95% CI 35.4, 38.4). Clinical stage at treatment initiation and breast cancer survival remained unchanged in the period analyzed. Clinical stage and survival differed across age groups, state of residence, and type of facility where women received treatment. Interpretation: In the absence of population-based cancer registries, medical claims data may be efficiently leveraged to estimate essential cancer-related performance indicators. Funding: The authors received no financial support for this research.

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Introduction: The COVID-19 pandemic disrupted the preventive services for cervical cancer (CC) control programs in Mexico, which will result in increased mortality. This study aims to assess the impact of the pandemic on the interruption of three preventive actions in the CC prevention program in Mexico. Methods: This study is a retrospective time series analysis based on administrative records for the uninsured population served by the Mexican Ministry of Health. Patient data were retrieved from the outpatient service information system and the hospital discharge database for the period 2017-2021. Data were aggregated by month, distinguishing a pre-pandemic and a pandemic period, considering April 2020 as the start date of the pandemic. A Poisson time series analysis was used to model seasonal and secular trends. Five process indicators were selected to assess the disruption of the CC program, these were analyzed as monthly data (N=39 pre-pandemic, N=21 during the pandemic). HPV vaccination indicators (number of doses and coverage) and diagnostic characteristics of CC cases were analyzed descriptively. The time elapsed between diagnosis and treatment initiation in CC cases was modeled using restricted cubic splines from robust regression. Results: Annual HPV vaccination coverage declined dramatically after 2019 and was almost null in 2021. The number of positive Papanicolaou smears decreased by 67.8% (90%CI: -72.3, -61.7) in April-December 2020, compared to their expected values without the pandemic. The immediate pandemic shock (April 2020) in the number of first-time and recurrent colposcopies was -80.5% (95%CI:-83.5, -77.0) and -77.9% (95%CI: -81.0, -74.4), respectively. An increasing trend was observed in the proportion of advanced stage and metastatic CC cases. The fraction of CC cases that did not receive medical treatment or surgery increased, as well as CC cases that received late treatment after diagnosis. Conclusions: Our analyses show significant impact of the COVID-19 pandemic with declines at all levels of CC prevention and increasing inequalities. The restarting of the preventive programs against CC in Mexico offers an opportunity to put in place actions to reduce the disparities in the burden of disease between socioeconomic levels.

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Linking records of the same person from different sources makes it possible to build administrative cohorts and perform longitudinal analyzes, as an alternative to traditional cohort studies, and have important practical implications in producing knowledge in public health. We implemented the Fellegi-Sunter probabilistic linkage method to a sample of records from the Mexican Automated System for Hospital Discharges and the Statistical and Epidemiological System for Deaths and evaluated its performance. The records in each source were randomly divided into a training sample (25%) and a validation sample (75%). We evaluated different types of blocking in terms of complexity reduction and pairs completeness, and record linkage in terms of sensitivity and positive predictive value. In the validation sample, a blocking scheme based on trigrams of the full name achieved 95.76% pairs completeness and 99.9996% complexity reduction. After pairs classification, we achieved a sensitivity of 90.72% and a positive predictive value of 97.10% in the validation sample. Both values were about one percentage point higher than that obtained in the automatic classification without clerical review of potential pairs. We concluded that the linkage algorithm achieved a good performance in terms of sensitivity and positive predictive value and can be used to build administrative cohorts for the epidemiological analysis of populations with records in health information systems.

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Background: The death toll after SARS-CoV-2 emergence includes deaths directly or indirectly associated with COVID-19. Mexico reported 325,415 excess deaths, 34.4% of them not directly related to COVID-19 in 2020. In this work, we aimed to analyse temporal changes in the distribution of the leading causes of mortality produced by COVID-19 pandemic in Mexico to understand excess mortality not directly related to the virus infection. Methods: We did a longitudinal retrospective study of the leading causes of mortality and their variation with respect to cause-specific expected deaths in Mexico from January 2020 through December 2021 using death certificate information. We fitted a Poisson regression model to predict cause-specific mortality during the pandemic period, based on the 2015-2019 registered mortality. We estimated excess deaths as a weekly difference between expected and observed deaths and added up for the entire period. We expressed all-cause and cause-specific excess mortality as a percentage change with respect to predicted deaths by our model. Findings: COVID-19 was the leading cause of death in 2020-2021 (439,582 deaths). All-cause total excess mortality was 600,590 deaths (38⋅2% [95% CI: 36·0 to 40·4] over expected). The largest increases in cause-specific mortality, occurred in diabetes (36·8% over expected), respiratory infections (33·3%), ischaemic heart diseases (32·5%) and hypertensive diseases (25·0%). The cause-groups that experienced significant decreases with respect to the expected pre-pandemic mortality were infectious and parasitic diseases (-20·8%), skin diseases (-17·5%), non-traffic related accidents (-16·7%) and malignant neoplasm (-5·3%). Interpretation: Mortality from COVID-19 became the first cause of death in 2020-2021, the increase in other causes of death may be explained by changes in the health service utilization patterns caused by hospital conversion or fear of the population using them. Cause-misclassification cannot be ruled out. Funding: This study was funded by Conacyt.

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OBJECTIVE: To estimate the sensitivity and specificity of two Mexican death registries for the identification of vital status using a publicly available record-linkage tool. MATERIALS AND METHODS: We selected all reported deaths (n=581) and 575 alive participants in an epidemiologic cohort with active follow-up. Individual records were cross-linked to two mortal-ity registries. RESULTS: A sensitivity of 87.2% (95%CI: 84.7, 90.2) and specificity of 99.3% (95%CI: 98.2, 99.8) were jointly achieved with both registries. Major discrepancies in cause of death were observed in 10.8% of deaths. CONCLUSION: There is initial evidence that Mexican death registries are a valuable resource for mortality follow-up in epidemiologic studies.

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 Objetivo. Estimar la supervivencia a cinco años por cáncer cervicouterino y sus factores asociados en pacientes mexica-nas, cuya atención fue financiada por el Fondo de Protección contra Gastos Catastróficos (FPGC) del Seguro Popular durante el periodo 2006-2014. Material y métodos. Se analizó la base de datos de las pacientes mencionadas y se vinculó con el Subsistema Epidemiológico y Estadístico de Defunciones. Se hizo un análisis de supervivencia a cinco años por etapa clínica y factores asociados, mediante el método de Kaplan-Meier y los modelos de riesgos proporcionales de Cox. Resultados. La supervivencia global por cáncer cervicouterino a los cinco años fue de 68.5%. Los factores asociados fueron la etapa clínica (locoregional [HR=2.8 IC95% HR: 2.6,3.0] y metastásica [HR=5.4 IC95% HR: 4.9,5.9]) com-parada con la etapa temprana y la edad (HR=1.003 IC95% HR:1.001,1.004). Conclusiones. Las mujeres que lograron el acceso a la atención del cáncer cervical financiadas por el FPGC tuvieron una supervivencia ligeramente superior a las reportadas en otros estudios.

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Resumen: Objetivo: Estimar la supervivencia a cinco años por cáncer cervicouterino y sus factores asociados en pacientes mexicanas, cuya atención fue financiada por el Fondo de Protección contra Gastos Catastróficos (FPGC) del Seguro Popular durante el periodo 2006-2014. Material y métodos: Se analizó la base de datos de las pacientes mencionadas y se vinculó con el Subsistema Epidemiológico y Estadístico de Defunciones. Se hizo un análisis de supervivencia a cinco años por etapa clínica y factores asociados, mediante el método de Kaplan-Meier y los modelos de riesgos proporcionales de Cox. Resultados: La supervivencia global por cáncer cervicouterino a los cinco años fue de 68.5%. Los factores asociados fueron la etapa clínica (locoregional [HR=2.8 IC95% HR: 2.6,3.0] y metastásica [HR=5.4 IC95% HR: 4.9,5.9]) comparada con la etapa temprana y la edad (HR=1.003 IC95% HR:1.001,1.004). Conclusiones: Las mujeres que lograron el acceso a la atención del cáncer cervical financiadas por el FPGC tuvieron una supervivencia ligeramente superior a las reportadas en otros estudios.

Abstract: Objective: Estimate five-year survival from cervical cancer and associated factors in Mexican patients financed by Seguro Popular during the period 2006-2014. Materials and methods: We analyzed the database of patients financed by the Catastrophic Expenses Protection Fund and linked it to the Statistical and Epidemiological System of mortality. We performed a five-year survival analysis by clinical stage and associated factors, using the Kaplan-Meier method and Cox proportional hazards models. Results: Overall survival for cervical cancer at five years was 68.5%. The associated factors were the clinical stage: locoregional (HR=2.8 CI95% HR: 2.6,3.0) and metastatic (HR=5.4 CI95% HR: 4.9,5.9) compared to early stage and age (HR=1.003 CI95% HR:1.001,1.004). Conclusions: Women who gained access to Catastrophic Expenses Protection Fund cervical cancer care had similar survival than that reported in other studies.

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Abstract: Objective: To estimate the sensitivity and specificity of two Mexican death registries for the identification of vital status using a publicly available record-linkage tool. Materials and methods: We selected all reported deaths (n=581) and 575 alive participants in an epidemiologic cohort with active follow-up. Individual records were cross-linked to two mortality registries. Results: A sensitivity of 87.2% (95%CI: 84.7, 90.2) and specificity of 99.3% (95%CI: 98.2, 99.8) were jointly achieved with both registries. Major discrepancies in cause of death were observed in 10.8% of deaths. Conclusion: There is initial evidence that Mexican death registries are a valuable resource for mortality follow-up in epidemiologic studies.

Resumen: Objetivo: Estimar la sensibilidad y especificidad de dos registros mexicanos de mortalidad para la identificación de muertes. Material y métodos: Se seleccionaron al azar 575 participantes vivos y todas las muertes notificadas (n=581) de una cohorte con seguimiento activo. Se vinculó cada individuo utilizando una herramienta públicamente disponible. Resultados: Se obtuvo una sensibilidad de 87.2% (IC95%: 84.7, 90.2) y una especificidad de 99.3% (IC95%: 98.2, 99.8) con ambos registros. Hubo discrepancias en la causa de muerte en 10.8% de las defunciones. Conclusión: Existe evidencia inicial de que los registros mexicanos de mortalidad son un recurso valioso para el seguimiento en estudio epidemiológicos.

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The aim of the study was to measure survival of children with acute lymphoblastic leukemia (ALL) under Mexico's public health insurance for the population treated under Seguro Popular. A retrospective cohort study using claims data from Mexico's Seguro Popular program, covering cancer treatment from 2005 to 2015 was conducted. Overall 5-year national and state-specific survival for children with ALL across Mexico who initiated cancer treatment under this program was estimated. From 2005 to 2015, 8,977 children with ALL initiated treatment under Seguro Popular. Under this financing scheme, the annual number of treated children doubled from 535 in 2005 to 1,070 in 2015. The estimates for 5-year overall survival of 61.8% (95%CI 60.8, 62.9) remained constant over time. We observed wide gaps in risk-standardized 5-year overall survival among states ranging from 74.7% to 43.7%. We found a higher risk of mortality for children who received treatment in a non-pediatric specialty hospital (Hazards Ratio, HR = 1.18; 95%CI 1.09, 1.26), facilities without a pediatric oncology/hematology specialist (HR = 2.17; 95%CI 1.62, 2.90), and hospitals with low patient volume (HR = 1.22; 95%CI 1.13, 1.32). In a decade Mexico's Seguro Popular doubled access to ALL treatment for covered children and by 2015 financed the vast majority of estimated ALL cases for that population. While some progress in ALL survival may have been achieved, nationwide 5-year overall survival did not improve over time and did not achieve levels found in comparable countries. Our results provide lessons for Mexico's evolving health system and for countries moving toward universal health coverage.

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PURPOSE: We evaluated the relation between age at menarche and time to menstrual regularity with all-cause and cause specific mortality in a cohort of Mexican women. METHODS: We followed 113,540 women from the Mexican Teachers' Cohort. After a mean follow-up time of 9.2 years, 1,355 deaths were identified. We estimated hazard ratios from Cox regression models for total mortality and a competitive risk models for cause-specific mortality adjusting for year of birth and childhood factors. RESULTS: Women with extreme age of menarche were at increased risk of all-cause mortality (HR [95% CI]: <11 years 1.50 [1.20, 1.87]; 14 years 1.19 [0.97, 1.43]) relative to those with menarche at 13 years. Extreme ages at menarche had higher risk of mortality for diabetes (HR: <11 years 1.66 [0.90, 3.05]; 14 years 1.47 [0.90, 2.40]), breast cancer (HR: <11 years 1.34 [0.56, 3.20]), and other cancer (HR:<11 years 1.65 [1.10, 2.48]) compared to menarche at 13 years. Women who took three or more years to achieve menstrual regularity had a higher risk of all-cause mortality compared to those who took less (HR: 1.27 [1.01, 1.58]). CONCLUSIONS: Extreme ages at menarche and longer time to reach menstrual regularity were associated with an increased rate of all-cause and cause-specific mortality.

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 Objetivo. Estimar el exceso de defunciones por todas las causas en México durante 2020. Material y métodos. Se construyó un canal endémico con las defunciones (2015- 2019), estableciendo el umbral epidémico en el percentil 90, y se comparó con las actas de defunción para estimar el exceso de mortalidad. Resultados. A la semana 53, ocurrieron 326 612 defunciones en exceso (45.1%), con un máximo en la semana 28 (98.0%) y un mínimo en la semana 41 (35.2%); después de la semana 4 los hombres (51.3%), principalmente de 45-64 años de edad, sin embargo, en los de 60 años o más ocurrió el mayor nú-mero de defunciones. Conclusión. En México, el exceso de mortalidad ha sido prolongado en comparación con otros países, con alta variabilidad interestatal. Esto podría deberse a las condiciones socioeconómicas y a la alta prevalencia de comorbilidades que aumentan el riesgo de morir en la población mexicana.

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AIM OF THE STUDY: To examine mortality trends in children under 15 years of age due to HIV/AIDS in Mexico and describe their differences by insurance coverage. METHODS: Time series analysis of deaths from 1990-2019 through a Bayesian poisson regression model with linear splines and knots in 1994, 1997, and 2003. RESULTS: Overall, we observed a reduction in the mortality rate due to HIV from 2003 onwards, except in the group of 10-14 years. In the population covered with Social Security, mortality rates decreased in all age groups. However, in the group without Social Security or with Popular Security (subsidized system), mortality rates significantly decreased only for children below 5 years. of age. CONCLUSIONS: Health insurance through the contributory system is associated with faster and larger reductions in HIV related infant mortality. Universal access to health insurance was not sufficient to close the gap in HIV-mortality among children under 15 years of age in Mexico.

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Resumen: Objetivo: Estimar el exceso de defunciones por todas las causas en México durante 2020. Material y métodos: Se construyó un canal endémico con las defunciones (2015-2019), estableciendo el umbral epidémico en el percentil 90, y se comparó con las actas de defunción para estimar el exceso de mortalidad. Resultados: A la semana 53, ocurrieron 326 612 defunciones en exceso (45.1%), con un máximo en la semana 28 (98.0%) y un mínimo en la semana 41 (35.2%); después de la semana 42, la tendencia vuelve a ser ascendente por el resto del año. Esto fue proporcionalmente mayor en los hombres (51.3%), principalmente de 45-64 años de edad, sin embargo, en los de 60 años o más ocurrió el mayor número de defunciones. Conclusión: En México, el exceso de mortalidad ha sido prolongado en comparación con otros países, con alta variabilidad interestatal. Esto podría deberse a las condiciones socioeconómicas y a la alta prevalencia de comorbilidades que aumentan el riesgo de morir en la población mexicana.

Abstract: Objective: To estimate excess mortality from all causes in Mexico in 2020. Materials and methods: We constructed an endemic channel with deaths (2015-2018) establishing the epidemic threshold at the 90th percentile, comparing with death certificates counts to estimate excess mortality. Results: At week 53, there were 326 612 excess deaths (45.1%), with a maximum in week 28 (98.0%) and a minimum at week 41 (35.2%); after week 42, the increasing trend remained for the rest of the year. It was proportionally higher in men, mainly aged 45-64 years, however, in those aged 60 and over, the highest number of deaths occurred. Conclusion: In Mexico, excess mortality has been prolonged compared to other countries, with high interstate variability. This could be explained by socioeconomic conditions and the high prevalence of comorbidities in the Mexican population.

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OBJECTIVE: To compare cancer mortality rates in Mexico from two national death registries that independently code and attribute cause of death. MATERIALS AND METHODS: We compared 5-year age-standardized total cancer and sitespecific cancer mortality rates (2010-2014) from Mexico's official death registry with a death registry from a disease surveillance system. We obtained age-adjusted mortality rates and 95% confidence intervals using the direct method and World Population Prospects 2010 as a standard. RESULTS: Cancer mortality estimates for Mexico were minimally affected by the use of two distinct death certificate-coding procedures. Cancer mortality was 73.3 for Instituto Nacional de Estadística y Geografía and 72.7 for System for Epidemiologic Death Statistics per 100 000 women. The corresponding estimates for men were 68.3 and 67.8. CONCLUSIONS: Mexico's low cancer mortality is unlikely to be explained by death certificate processing. Further investigations into the process of death certification and cancer registration should be conducted in Mexico.

OBJETIVO: Comparar la mortalidad por cáncer en México a partir de dos registros de mortalidad nacionales. MATERIAL Y MÉTODOS: Se comparó la tasa de mortalidad estandarizada por edad para cáncer total y por sitio específico (2010-2014) utilizando dos fuentes con diferentes métodos de procesamiento de información. Se obtuvieron tasas estandarizadas e intervalos de confianza al 95% utilizando el método directo y como población estándar el World Population Prospects 2010. RESULTADOS: Las tasas de mortalidad no se vieron afectadas por métodos distintos para procesar información. La mortalidad por cáncer en mujeres fue de 73.3 por cada 100 000 en el Instituto Nacional de Estadística y Geografía y 72.7 en el Subsistema Epidemiológico y Estadístico de Defunciones. Las estimaciones para hombres fueron 68.3 and 67.8, respectivamente. CONCLUSIONES: Es poco probable que la baja mortalidad por cáncer en México se explique por el procesamiento de la información. Es necesario realizar estudios enfocados en el proceso de certificación y registro de muerte por cáncer.

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OBJECTIVE: To analyze the validity of the official vaccination figures according to the available information and to identify opportunities for improvement. MATERIALS AND METHODS: We estimated vaccination coverage and dropout rates (for multi-dose vaccines) for one-year-old children, based on public information from the dynamic cubes of the Ministry of Health, for the years 2015 to 2017. R. RESULTS: We observed variations in the vaccination monthly reports, which indicate low rates of vaccination, as well as high dropout rates when comparing first and third doses applied. For children 1 year of age, the national complete coverage was estimated at 48.9. CONCLUSIONS: There is no reliable information to estimate the actual vaccination coverage. Government documents report a constant overestimation of vaccination coverage that creates a "false sense of security". This has become a barrier for the critical analysis of the Universal Vaccination Program.

OBJETIVO: Analizar la veracidad de las cifras oficiales de acuerdo con la información disponible e identificar oportunidades de mejora. MATERIAL Y MÉTODOS: Estimamos las coberturas de vacunación y tasas de deserción (para las vacunas administradas en multidosis) del esquema básico para niños menores de un año de edad, con base en la información de cubos dinámicos de la Secretaría de Salud de 2015 a 2017. RESULTADOS: Observamos variaciones en los reportes mensuales de vacunación que indican bajas tasas de vacunación, así como índices altos de deserción al comparar primeras y terceras dosis aplicadas. La cobertura nacional de esquema completo se estimó en 48.9 por ciento. CONCLUSIONES: No se cuenta con información confiable que permita estimar las coberturas reales de vacunación. En los reportes oficiales hay una constante sobrestimación de las coberturas que ha creado a una "falsa sensación de seguridad". Esto se ha constituido en una barrera que impide el análisis crítico del Programa Universal de Vacunación.

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