ArticleCanadian respiratory journal2016
Identifying Primary Spontaneous Pneumothorax from Administrative Databases: A Validation Study.
Article in Canadian respiratory journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Trends and Disparities in Pneumothorax-Related Deaths in the United States Before and During the COVID-19 Pandemic: A CDC WONDER Database Analysis.Public health challenges · 2026Article
- Management of primary spontaneous pneumothorax in the pediatric population: a 7-year institutional experience.Revista da Associacao Medica Brasileira (1992) · 2026Article
- An evidence-based review of primary spontaneous pneumothorax in the adolescent population.Journal of the American College of Emergency Physicians open · 2021Review
- Epidemiology and medical service use for spontaneous pneumothorax: a 12-year study using nationwide cohort data in Korea.BMJ open · 2019Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction. Primary spontaneous pneumothorax (PSP) is a disorder commonly encountered in healthy young individuals. There is no differentiation between PSP and secondary pneumothorax (SP) in the current version of the International Classification of Diseases (ICD-10). This complicates the conduct of epidemiological studies on the subject. Objective. To validate the accuracy of an algorithm that identifies cases of PSP from administrative databases. Methods. The charts of 150 patients who consulted the emergency room (ER) with a recorded main diagnosis of pneumothorax were reviewed to define the type of pneumothorax that occurred. The corresponding hospital administrative data collected during previous hospitalizations and ER visits were processed through the proposed algorithm. The results were compared over two different age groups. Results. There were 144 cases of pneumothorax correctly coded (96%). The results obtained from the PSP algorithm demonstrated a significantly higher sensitivity (97% versus 81%, p = 0.038) and positive predictive value (87% versus 46%, p < 0.001) in patients under 40 years of age than in older patients. Conclusions. The proposed algorithm is adequate to identify cases of PSP from administrative databases in the age group classically associated with the disease. This makes possible its utilization in large population-based studies.
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