ArticleJAMIA open2023
Understanding pediatric long COVID using a tree-based scan statistic approach: an EHR-based cohort study from the RECOVER Program.
Article in JAMIA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 27 citations in OpenAlex.
- Phenotyping Pediatric Long COVID: Symptom Clusters from a Longitudinal Multicenter Italian Cohort.Children (Basel, Switzerland) · 2026Article
- Mapping the applications and methodological characteristics of the TreeScan method in pharmacovigilance and beyond: a scoping review of 44 studies.Frontiers in pharmacology · 2026Article
- Identifying Pediatric Long COVID: Comparing an EHR Algorithm to Manual Review.Applied clinical informatics · 2025Article
- A natural language processing pipeline for identifying pediatric long COVID symptoms and functional impacts in freeform clinical notes: a RECOVER study.JAMIA open · 2025Article
- Long COVID Incidence Proportion in Adults and Children Between 2020 and 2024: An Electronic Health Record-Based Study From the RECOVER Initiative.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Article
- Characterizing Long COVID Symptoms During Early Childhood.JAMA pediatrics · 2025Article
- Pediatric Long COVID Subphenotypes: An EHR-based study from the RECOVER program.PLOS digital health · 2025Article
- Opportunities and Challenges in Using Electronic Health Record Systems to Study Postacute Sequelae of SARS-CoV-2 Infection: Insights From the NIH RECOVER Initiative.Journal of medical Internet research · 2025Article
- Evaluating the Bias, type I error and statistical power of the prior Knowledge-Guided integrated likelihood estimation (PIE) for bias reduction in EHR based association studies.Journal of biomedical informatics · 2025Article
- Ethnic and racial differences in children and young people with respiratory and neurological post-acute sequelae of SARS-CoV-2: an electronic health record-based cohort study from the RECOVER Initiative.EClinicalMedicine · 2025Article
- Real-world effectiveness and causal mediation study of BNT162b2 on long COVID risks in children and adolescents.EClinicalMedicine · 2025Article
- Pediatric Long COVID Subphenotypes: An EHR-based study from the RECOVER program.medRxiv : the preprint server for health sciences · 2024Article
- EHR-based Case Identification of Pediatric Long COVID: A Report from the RECOVER EHR Cohort.medRxiv : the preprint server for health sciences · 2024Article
- Article
- Long COVID in Children and Adolescents: A Critical Review.Children (Basel, Switzerland) · 2024Review
- Pediatric Nirmatrelvir/Ritonavir Prescribing Patterns During the COVID-19 Pandemic.Hospital pediatrics · 2024Article
- Vaccine Effectiveness Against Long COVID in Children.Pediatrics · 2024Article
- Long COVID in pediatrics-epidemiology, diagnosis, and management.European journal of pediatrics · 2024Review
- Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design.PloS one · 2024Observational
Corrections and comments
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Authors and funding
17 authors at 11 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Post-acute sequalae of SARS-CoV-2 infection (PASC) is not well defined in pediatrics given its heterogeneity of presentation and severity in this population. The aim of this study is to use novel methods that rely on data mining approaches rather than clinical experience to detect conditions and symptoms associated with pediatric PASC. Materials and Methods: We used a propensity-matched cohort design comparing children identified using the new PASC ICD10CM diagnosis code (U09.9) ( Results: We found significant enrichment among children with PASC in cardiac, respiratory, neurologic, psychological, endocrine, gastrointestinal, and musculoskeletal systems, the most significant related to circulatory and respiratory such as dyspnea, difficulty breathing, and fatigue and malaise. Discussion: Our study addresses methodological limitations of prior studies that rely on prespecified clusters of potential PASC-associated diagnoses driven by clinician experience. Future studies are needed to identify patterns of diagnoses and their associations to derive clinical phenotypes. Conclusion: We identified multiple conditions and body systems associated with pediatric PASC. Because we rely on a data-driven approach, several new or under-reported conditions and symptoms were detected that warrant further investigation.
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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.