ArticleAmerican journal of epidemiology2008
Validation of a hierarchical deterministic record-linkage algorithm using data from 2 different cohorts of human immunodeficiency virus-infected persons and mortality databases in Brazil.
Article in American journal of epidemiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Improved virologic outcomes over time for HIV-infected patients on antiretroviral therapy in a cohort from Rio de Janeiro, 1997-2011.BMC infectious diseases · 2014Trial
- Article
- Hospital readmission rates and factors due to COVID-19 reinfections: a registry-based cohort study in Brazil (2020-2022).BMC public health · 2025Article
- Record linkage in public health datasets: a practical experience in a fast in-process analytical database.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2025Article
- Article
- Nonspecific Effects of the Bacillus Calmette-Guérin Vaccine in Portuguese Children Under 5 Years of Age: Protocol for a Population-Based Historical Birth Cohort Study.JMIR research protocols · 2024Article
- [Epidemiological intelligence, investment in information technologies and new perspectives for the use of data in health surveillance].Cadernos de saude publica · 2024Article
- Early mortality in a cohort of people living with HIV in Rio de Janeiro, Brazil, 2004-2015: a persisting problem.BMC infectious diseases · 2022Observational
- Effectiveness, safety, and immunogenicity of half dose ChAdOx1 nCoV-19 COVID-19 Vaccine: Viana project.Frontiers in immunology · 2022Article
- Leveraging National Claims and Hospital Big Data: Cohort Study on a Statin-Drug Interaction Use Case.JMIR medical informatics · 2021Article
- Article
- Factors associated with death in patients with tuberculosis in Brazil: Competing risks analysis.PloS one · 2020Article
- Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose.Nutrients · 2019Article
- Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from Brazil.PLoS medicine · 2019Observational
- Administrative Data Linkage in Brazil: Potentials for Health Technology Assessment.Frontiers in pharmacology · 2019Review
- Transcendendo: A Cohort Study of HIV-Infected and Uninfected Transgender Women in Rio de Janeiro, Brazil.Transgender health · 2019Article
- Increased risk of death and readmission after hospital discharge of critically ill patients in a developing country: a retrospective multicenter cohort study.Intensive care medicine · 2018Article
- Poor retention in early care increases risk of mortality in a Brazilian HIV-infected clinical cohort.AIDS care · 2017Article
- Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States.Annals of the New York Academy of Sciences · 2017Review
- Loss to follow-up in anti-HCV-positive patients in a Brazilian regional outpatient clinic.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2016Article
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Authors and funding
12 authors.
Funding
Abstract
Loss to follow-up is a major source of bias in cohorts of patients with human immunodeficiency virus (HIV) and could lead to underestimation of mortality. The authors developed a hierarchical deterministic linkage algorithm to be used primarily with cohorts of HIV-infected persons to recover vital status information for patients lost to follow-up. Data from patients known to be deceased in 2 cohorts in Rio de Janeiro, Brazil, and data from the Rio de Janeiro State mortality database for 1999-2006 were used to validate the algorithm. A fully automated procedure yielded a sensitivity of 92.9% and specificity of 100% when no information was missing. When the automated procedure was combined with clerical review, in a scenario of 5% death prevalence and 20% missing mothers' names, sensitivity reached 96.5% and specificity 100%. In a practical application, the algorithm significantly increased death rates and decreased the rate of loss to follow-up in the cohorts. The finding that 23.9% of matched records did not give HIV or acquired immunodeficiency syndrome as the cause of death reinforces the need to search all-cause mortality databases and alerts for possible underestimation of death rates. These results indicate that the algorithm is accurate enough to recover vital status information on patients lost to follow-up in cohort studies.
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