Evidence map›Paper›PMID 41001504›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Post-acute dyslipidemia and abnormal BMI in children and adolescents with COVID-19: An EHR Cohort Study from the RECOVER Initiative.

Yuqing Lei, Ting Zhou, Bingyu Zhang, Dazheng Zhang, Huilin Tang, Jiajie Chen, Qiong Wu, Lu Li, L Charles Bailey, Michael J Becich and 17 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Yuqing LeiThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
Ting ZhouThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
Bingyu ZhangThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-7176-249X
Dazheng ZhangThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
Huilin TangThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
Jiajie ChenThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
Qiong WuThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
Lu LiThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.
L Charles BaileyApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia PA, USA.
Michael J BecichDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburg, PA, USA.
Saul BleckerDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Dimitri A ChristakisCenter for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA.
Daniel FortCenter for Outcomes Research, Ochsner Health, New Orleans, LA, USA.
Sharon J HerringProgram for Maternal Health Equity, Center for Urban Bioethics, Department of Population Health and Urban Bioethics, Center for Obesity Research and Education, College of Public Health, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.
Wenke HwangDepartment of Public Health Sciences, Penn State University College of Medicine, Hershey, PA, USA.
Amrik Singh KhalsaDivision of Primary Care Pediatrics, Center for Child Health Equity and Outcomes Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.
Susan KimUniversity of California, San Francisco, Division of Rheumatology, Benioff Children's Hospital, San Francisco, CA, USA.
David M LiebovtizDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Abu Saleh Mohammad MosaDepartment of Biomedical Informatics and Data Science, University of Alabama at Birmingham, Heersink School of Medicine, Birmingham, AL, USA.
Suchitra RaoDepartment of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO, USA.
Soumitra SenguptaDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Xing SongHealth Management and Informatics, University of Missouri School of Medicine, Columbia, MO, USA.
Yacob G TedlaDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Ravi JhaveriDivision of Pediatric Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
Caren MangarelliDivision of Advanced General Pediatrics and Primary Care, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Christopher B ForrestApplied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia PA, USA.ORCID 0000-0003-1252-068X
Yong ChenThe Center for Health AI and Synthesis of Evidence (CHASE), University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-0835-0788

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
NHLBI NIH HHS OT2 HL161847
6 · The paper itself

Abstract

Background: Adults with SARS-CoV-2 infection have shown higher risks of dyslipidaemia and abnormal body mass index (BMI). Whether similar associations exist in children and adolescents is unclear. Method: We did a retrospective cohort study using the RECOVER paediatric Electronic Health Record (EHR) datasets from 25 US children's hospitals, covering March 2020 to September 2023. For dyslipidaemia analyses, we included 384,289 patients aged 0-21 years with at least 6 months of follow-up and 1,080,413 COVID-19-negative controls. For BMI analyses, we included 285,559 patients aged 2-21 years and 817,315 controls. Documented infection was defined as a positive PCR, serology, or antigen test, or a clinical diagnosis of COVID-19 or post-acute sequelae of SARS-CoV-2. Outcomes were new diagnoses of dyslipidaemia, defined by laboratory thresholds for total cholesterol, triglycerides, LDL cholesterol, HDL cholesterol, and non-HDL cholesterol, and abnormal BMI (BMI-for-age ≥95th percentile at ages 2-19 years or BMI ≥30 kg/m Interpretation: Children and adolescents with documented COVID-19 were associated with higher risks of new-onset dyslipidaemia and abnormal BMI in the post-acute period compared with COVID-19-negative peers. Associations were consistent across lipid fractions, remained after empirical calibration, and were similar after accounting for baseline obesity.

Identifiers

PMID41001504
PMCPMC12458518

What OpenQuestion holds

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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.