ArticlePeerJ2018
Identification of three classes of acute respiratory distress syndrome using latent class analysis.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
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Who cites it
7 citing papers in PubMed.
- Identification of four latent classes of acute respiratory distress syndrome using PaOScientific reports · 2024Observational
- Identifying Comorbid Subtypes of Patients With Acute Respiratory Failure.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2023Article
- Emerging Roles and Mechanisms of lncRNA FOXD3-AS1 in Human Diseases.Frontiers in oncology · 2022Review
- Identification of distinct clinical phenotypes of acute respiratory distress syndrome with differential responses to treatment.Critical care (London, England) · 2021Article
- Data Science for Child Health.The Journal of pediatrics · 2019Review
- Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Critical care medicine in 2050: less invasive, more connected, and personalized.Journal of thoracic disease · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute respiratory distress syndrome (ARDS) is a highly heterogeneous syndrome that can exhibit significant differences in the underlying causes, leading to different responses to treatment. It is required to identify subtypes of ARDS to guideline clinical treatment and trial design. The study aimed to identify subtypes of ARDS using latent class analysis (LCA). The study was a secondary analysis of the EDEN study, which was a randomized, controlled, multicenter trial conducted from January 2, 2008 to April 12, 2011. The primary study endpoint was death through 90-day follow up. LCA was performed incorporating variables on day 0 before randomization. The number of classes was chosen by a bootstrapped likelihood ratio test, Bayesian information criterion and the number of patients in each class. A total of 943 patients were enrolled in the study, including 219 (23.2%) non-survivors and 724 (76.8%) survivors. The LCA identified three classes of ARDS. Class 1 (hemodynamically unstable type) had significantly higher mortality rate (
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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.