Evidence map›Paper›PMID 39705125›Full record

ArticleJournal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases2025

New Diagnoses of Juvenile Idiopathic Arthritis Early in the COVID-19 Pandemic: Analysis of a Large United States Commercial Insurance Database.

Sanika Rege, Lauren E Parlett, Amanda Neikirk, Alicia Iizuka, Yiling Yang, Cecilia Huang, Stephen Crystal, Amy Davidow, Kevin Haynes, Tobias Gerhard and 3 more

Abstract read
In one paragraph

Article in Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases, 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

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

13 authors.

Sanika RegeFrom the Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ.
Lauren E ParlettCarelon Research, Inc, Wilmington, DE.
Amanda NeikirkCarelon Research, Inc, Wilmington, DE.
Alicia IizukaFrom the Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ.
Yiling YangCarelon Research, Inc, Wilmington, DE.
Cecilia HuangFrom the Rutgers Center for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy and Aging Research, New Brunswick, NJ.
Stephen Crystal
Amy DavidowNew York University School of Global Public Health, New York, NY.
Kevin HaynesJanssen Research and Development, Titusville, NJ.
Tobias Gerhard
Carlos D RoseThomas Jefferson University, Wilmington, DE.
Brian L Strom

Funding

New Jersey Alliance for Clinical Translational Science: NJ ACTSUL1TR003017 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI PANETTIERI, REYNOLD ALEXANDER · 2019 to 2023
$28.9M
NJ ACTS: A Platform for Translational Science in New JerseyUM1TR004789 · NCATS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Reynold Alexander Panettieri · 2024 to 2026
$16.8M
COVID-19 Network of Networks Expanding Clinical and Translational approaches to Predict Severe Illness in Children (CONNECT to Predict SIck Children)R33HD105619 · NICHD · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI GENNARO, MARIA LAURA, HORTON, DANIEL BENJAMIN · 2023 to 2023
$3.0M
Cohort and biomarkers for COVID-19 severity, natural history, and reinfectionR01AI158911 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI BARRETT, EMILY S, BLASER, MARTIN J · 2021 to 2023
$2.6M
Antibiotics, Juvenile Idiopathic Arthritis, and Antirheumatic Treatment ResponseR01AR074436 · NIAMS · RUTGERS, THE STATE UNIV OF N.J. · PI HORTON, DANIEL BENJAMIN · 2019 to 2022
$2.1M
COVID-19 Network of Networks Expanding Clinical and Translational approaches to Predict Severe Illness in Children (CONNECT to Predict SIck Children)R61HD105619 · NICHD · RBHS-ROBERT WOOD JOHNSON MEDICAL SCHOOL · PI GENNARO, MARIA LAURA, HORTON, DANIEL BENJAMIN · 2021 to 2022
$1.6M
NCATS NIH HHS UL1 TR003017NCATS NIH HHS UM1 TR004789NIAID NIH HHS R01 AI158911NIAMS NIH HHS R01 AR074436NICHD NIH HHS R33 HD105619NICHD NIH HHS R61 HD105619
6 · The paper itself

Abstract

BACKGROUND/

objectiveLittle is known about the rates of rheumatic disease diagnosis among children during the COVID-19 pandemic. We examined the impact of the pandemic on the diagnosis of juvenile idiopathic arthritis (JIA) in the United States.

methodsWe performed a historical cohort study using US commercial insurance data (2016-2021) to identify children aged <18 years without prior JIA diagnosis or treatment in the prior ≥12 months. New JIA diagnoses were identified using a combination of ICD-10-CM diagnosis codes, location, and timing of medical services. Crude rates with 95% confidence intervals (CIs) of JIA diagnosis per 100,000 enrolled children per quarter were estimated and stratified by age group, sex, region, JIA type, and uveitis. The incidence rate ratio (95% CI) for JIA diagnosis was estimated using Poisson regression, adjusted for various demographic variables.

resultsFrom 2018-2021, 643 children were diagnosed with JIA. Crude new JIA diagnoses per 100,000 children per quarter dropped from 2.62 (95% CI, 2.39-2.87) prepandemic to 1.94 (95% CI, 1.66-2.25) during the pandemic. Declines in JIA diagnosis were more apparent in the US Northeast and West regions and among children aged 6-11 years. After adjustment for covariates, JIA diagnoses fell by 30% during the pandemic compared with the prior 3 years (IRR, 0.70; 95% CI, 0.59-0.83).

conclusionsCompared with the prepandemic period, JIA was diagnosed 30% less often during the early pandemic among commercially insured children in the United States. More research is needed to understand the underlying reasons for these changes in JIA diagnosis and more recent trends.

Indexed as

Arthritis, JuvenileCOVID-19AdolescentChildChild, PreschoolCohort StudiesDatabases, FactualFemaleHumansIncidenceInfantInsurance, HealthMalePandemicsSARS-CoV-2United States

Identifiers

PMID39705125
PMCPMC11665894

What OpenQuestion holds

Textmetadata
LicenceTDM
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.