Evidence map›Paper›PMID 39764158›Full record

ArticleFrontiers in pediatrics2024

Diagnostic challenges of long COVID in children: a survey of pediatric health care providers' preferences and practices.

Vivian Y Liu, Madeleine Godfrey, Matthew Dunn, Robert Fowler, Lauren Guthrie, David Dredge, Scott Holmes, Alicia M Johnston, Tregony Simoneau, Alessio Fasano and 2 more

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Vivian Y Liu *Department of Pediatrics, Massachusetts General Hospital, Boston, MA, United States.
Madeleine Godfrey *Department of Pediatrics, Pulmonary Division, Massachusetts General Hospital, Boston, MA, United States.
Matthew DunnDepartment of Pediatrics, Pulmonary Division, Massachusetts General Hospital, Boston, MA, United States.
Robert FowlerDivision of Pulmonary Medicine, Boston Children's Hospital, Boston, MA, United States.
Lauren GuthrieDepartment of Pediatrics, Pulmonary Division, Massachusetts General Hospital, Boston, MA, United States.
David DredgeDepartment of Pediatrics, Harvard Medical School, Boston, MA, United States.
Scott HolmesDepartment of Pediatrics, Harvard Medical School, Boston, MA, United States.
Alicia M JohnstonDepartment of Pediatrics, Harvard Medical School, Boston, MA, United States.
Tregony SimoneauDepartment of Pediatrics, Harvard Medical School, Boston, MA, United States.
Alessio FasanoDepartment of Pediatrics, Harvard Medical School, Boston, MA, United States.
Dawn EricsonDepartment of Pediatrics, Harvard Medical School, Boston, MA, United States.
Lael M YonkerDepartment of Pediatrics, Harvard Medical School, Boston, MA, United States.

Funding

Pediatric Chronic Headache and COVID-19: Use of Machine Learning and Biobehavioral Analysis to Classify Headache Mechanism and Optimize Treatment Course.R01NS125265 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI Scott Holmes, Alyssa A LeBel · 2022 to 2026
$2.7M
Defining neutrophil pathobiology in pediatric Long COVIDR01HL173059 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Lael Yonker · 2024 to 2026
$2.4M
NHLBI NIH HHS R01 HL173059NINDS NIH HHS R01 NS125265
6 · The paper itself

Abstract

Introduction: Given the challenges in diagnosing children with long COVID, we sought to explore diagnostic practices and preferences among clinicians. Methods: A ten-question survey assessed pediatric providers' clinical decision making for identifying and evaluating long COVID in children. Of the 120 survey respondents, 84 (70%) were physicians, 31 (26%) nurse practitioners, and 5 (4%) physician assistants. Results: The most common categories of symptoms identified as raising suspicion for long COVID in children included cardiopulmonary symptoms, selected by 119 (99%) of pediatric providers, and neurocognitive symptoms, selected by 118 (98%) of providers. However, there was more ambiguity on the primary feature of long COVID, with providers selecting a range of key symptoms. Of all physical exam findings, postural orthostatic tachycardia, was most suggestive of long COVID [identified by 49 (41%) of pediatric providers], whereas one-third of providers reported no specific identifiable exam finding. Discussion: Pediatric providers report variable decision making in the clinical evaluation of long COVID, with patient demographics and clinical factors impacting whether a diagnosis of long COVID is considered. This variation in diagnosing pediatric long COVID reflects ambiguity in the definition of long COVID in children and the absence of clinical guidelines to support providers in the identification of disease and treatment. This study highlights an area of need for future clinical advances in pediatric long COVID.

Indexed as

COVID-19long COVIDPASCpediatricpost-acute sequalae of COVIDpost-viral illnessSARS-CoV-2

Identifiers

PMID39764158
PMCPMC11700732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.