SynthesisChest2019
Accuracy of Algorithms to Identify Pulmonary Arterial Hypertension in Administrative Data: A Systematic Review.
Synthesis in Chest, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Pulmonary Arterial Hypertension Risk With BCR-ABL Tyrosine Kinase Inhibitors: Refining Risk With Nationwide Data.Circulation · 2026Article
- Pulmonary Hypertension Care Delivery in the United States: Is It Time to Get with the Guidelines?American journal of respiratory and critical care medicine · 2025Article
- Methods for identifying health status from routinely collected health data: An overview.Integrative medicine research · 2025Article
- Clinical Characteristics and Treatment of Patients Diagnosed with Pulmonary Arterial Hypertension: A Real-World Study in the USA, Europe and Japan.Advances in therapy · 2025Article
- Disparities in Clinical Outcomes Observed Within Electronic Health Record Data From a Statewide Cohort of Pulmonary Arterial Hypertension Patients.Pulmonary circulation · 2025Article
- Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP-RCD).Military Medical Research · 2024Article
- Development and validation of a code-based algorithm using in-hospital medical records to identify patients with pulmonary arterial hypertension in a French healthcare database.ERJ open research · 2024Article
- Clinical evaluation of code-based algorithms to identify patients with pulmonary arterial hypertension in healthcare databases.Pulmonary circulation · 2024Article
- Article
- Real-world clinical practice of pulmonary arterial hypertension in Japan: Insights from a large administrative database.Pulmonary circulation · 2023Article
- Epidemiology of PAH in Korea: An Analysis of the National Health Insurance Data, 2002-2018.Korean circulation journal · 2023Article
- The Evolving Management and Treatment Options for Patients with Pulmonary Hypertension: Current Evidence and Challenges.Vascular health and risk management · 2023Review
- Medication use by US patients with pulmonary hypertension associated with chronic obstructive pulmonary disease: a retrospective study of administrative data.BMC pulmonary medicine · 2022Article
- An algorithm to identify cases of pulmonary arterial hypertension from the electronic medical record.Respiratory research · 2022Article
- Real-world treatment patterns, healthcare resource utilization, and cost among adults with pulmonary arterial hypertension in the United States.Pulmonary circulation · 2022Article
- Comparison of Healthcare Encounters and Drug Persistence in Patients With Pulmonary Arterial Hypertension Receiving Oral Selexipag, Inhaled Iloprost, or Parenteral Treprostinil: A Retrospective Database Analysis.Journal of health economics and outcomes research · 2022Article
- Development and Validation of Algorithms to Identify Pulmonary Arterial Hypertension in Administrative Data.Chest · 2021Article
- Medication Adherence and Healthcare Costs Among Patients with Pulmonary Arterial Hypertension Treated with Oral Prostacyclins: A Retrospective Cohort Study.Drugs - real world outcomes · 2020Article
- Article
- Learning from registries in pulmonary arterial hypertension: pitfalls and recommendations.European respiratory review : an official journal of the European Respiratory Society · 2019Review
Corrections and comments
- Commented on by
- Commented on by
- Commented on byResponse.2019
Authors and funding
6 authors.
Funding
Abstract
backgroundThe diagnosis of pulmonary arterial hypertension (PAH) is challenging, and there is significant overlap with the more heterogenous diagnosis of pulmonary hypertension (PH). Clinical and research efforts that rely on administrative data are limited by current coding systems that do not adequately reflect the clinical classification scheme. The aim of this systematic review is to investigate current algorithms to detect PAH using administrative data and to appraise the diagnostic accuracy of these algorithms against a reference standard.
methodsWe conducted comprehensive searches of Medline, Embase, and Web of Science from their inception. We included English-language articles that applied an algorithm to an administrative or electronic health record database to identify PAH in adults.
resultsOf 2,669 unique citations identified, 32 studies met all inclusion criteria. Only four of these studies validated their algorithm against a reference standard. Algorithms varied widely, ranging from single International Classification of Diseases (ICD) codes to combinations of visit, procedure, and pharmacy codes. ICD codes alone performed poorly, with positive predictive values ranging from 3.3% to 66.7%. The addition of PAH-specific therapy and diagnostic procedures to the algorithm improved the diagnostic accuracy.
conclusionsAlgorithms to identify PAH in administrative databases vary widely, and few are validated. The sole use of ICD codes performs poorly, potentially leading to biased results. ICD codes should be revised to better discriminate between PH groups, and universally accepted algorithms need to be developed and validated to capture PAH in administrative data, better informing research and clinical efforts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.