Evidence map›Paper›PMID 36201211›Full record

ArticleJAMA network open2022

Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma.

Myrtha E Reyna, Ruixue Dai, Maxwell M Tran, Vanessa Breton, Maria Medeleanu, Wendy Y W Lou, Rachel E Foong, Melanie Emmerson, Christoffer Dharma, Kozeta Miliku and 11 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Clinical Predictors of Longitudinal Respiratory Exacerbation Outcomes in Young Hospitalised Children.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2025
    Article
  2. Article
  3. Machine learning-based early prediction of asthma in preschoolers: The COCOA birth cohort study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Article
  4. Leveraging artificial intelligence for the management of preschool wheeze: A narrative review.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Review
  5. From Fetus to Eight: the CHILD Cohort Study.American journal of epidemiology · 2024
    Article
  6. Article
  7. Emergency management and asthma risk in young Medicaid-enrolled children with recurrent wheeze.The Journal of asthma : official journal of the Association for the Care of Asthma · 2024
    Article
  8. Review
  9. 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

21 authors at 10 institutions in 3 countries.

Myrtha E ReynaDepartment of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Ruixue DaiDepartment of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Maxwell M TranDepartment of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Vanessa BretonDepartment of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Maria MedeleanuDepartment of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Wendy Y W LouDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Rachel E FoongWal-yan Respiratory Centre, Children's Lung Health, Telethon Kids Institute, Perth, Western Australia, Australia.
Melanie EmmersonDepartment of Precision Genomics, Intermountain Healthcare, Salt Lake City, Utah.
Christoffer DharmaDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Kozeta MilikuDepartment of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Diana L LefebvreDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Elinor SimonsDepartment of Pediatrics and Child Health, University of Manitoba, Manitoba, Winnipeg, Canada.
Meghan B AzadDepartment of Pediatrics and Child Health, University of Manitoba, Manitoba, Winnipeg, Canada.
Moira Chan-YeungDepartment of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Allan B BeckerDepartment of Pediatrics and Child Health, University of Manitoba, Manitoba, Winnipeg, Canada.
Piush J MandhaneDepartment of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
Stuart E TurveyDepartment of Pediatrics, BC Children's Hospital, The University of British Columbia, Vancouver, British Columbia, Canada.
Graham L HallWal-yan Respiratory Centre, Children's Lung Health, Telethon Kids Institute, Perth, Western Australia, Australia.
Theo J MoraesDepartment of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Malcolm R SearsDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Padmaja SubbaraoDepartment of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Hospital for Sick Children · CAUniversity of Manitoba · CACurtin University · AUMcMaster University · CAUniversity of Toronto · CABC Children's Hospital · CAIntermountain Healthcare · USPublic Health Ontario · CAUniversity of Alberta · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Despite advances in asthma therapeutics, the burden remains highest in preschool children; therefore, it is critical to identify primary care tools that distinguish preschool children at high risk for burdensome disease for further evaluation. Current asthma prediction tools, such as the modified Asthma Predictive Index (mAPI), require invasive tests, limiting their applicability in primary care and low-resource settings. Objective: To develop and evaluate the use of a symptom-based screening tool to detect children at high risk of asthma, persistent wheeze symptoms, and health care burden. Design, Setting, and Participants: The cohort for this diagnostic study included participants from the CHILD Study (n = 2511) from January 1, 2008, to December 31, 2012, the Raine Study from January 1, 1989, to December 31, 2012 (n = 2185), and the Canadian Asthma Primary Prevention Study (CAPPS) from January 1, 1989, to December 31, 1995 (n = 349), with active follow-up to date. Data analysis was performed from November 1, 2019, to May 31, 2022. Exposures: The CHILDhood Asthma Risk Tool (CHART) identified factors associated with asthma in patients at 3 years of age (timing and number of wheeze or cough episodes, use of asthma medications, and emergency department visits or hospitalizations for asthma or wheeze) to identify children with asthma or persistent symptoms at 5 years of age. Main Outcomes and Measures: Within the CHILD Study cohort, CHART was evaluated against specialist clinician diagnosis and the mAPI. External validation was performed in both a general population cohort (Raine Study [Australia]) and a high-risk cohort (CAPPS [Canada]). Predictive accuracy was measured by sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), and positive and negative predicted values. Results: Among 2511 children (mean [SD] age at 3-year clinic visit, 3.08 [0.17] years; 1324 [52.7%] male; 1608 of 2476 [64.9%] White) with sufficient questionnaire data to apply CHART at 3 years of age, 2354 (93.7%) had available outcome data at 5 years of age. CHART applied in the CHILD Study at 3 years of age outperformed physician assessments and the mAPI in predicting persistent wheeze (AUROC, 0.94; 95% CI, 0.90-0.97), asthma diagnosis (AUROC, 0.73; 95% CI, 0.69-0.77), and health care use (emergency department visits or hospitalization for wheeze or asthma) (AUROC, 0.70; 95% CI, 0.61-0.78). CHART had a similar predictive performance for persistent wheeze in the Raine Study (N = 2185) in children at 5 years of age (AUROC, 0.82; 95% CI, 0.79-0.86) and CAPPS (N = 349) at 7 years of age (AUROC, 0.87; 95% CI, 0.80-0.94). Conclusions and Relevance: In this diagnostic study, CHART was able to identify children at high risk of asthma at as early as 3 years of age. CHART could be easily incorporated as a routine screening tool in primary care to identify children who need monitoring, timely symptom control, and introduction of preventive therapies.

Indexed as

AsthmaArea Under CurveCanadaChildChild, PreschoolCoughFemaleHumansMaleRespiratory Sounds

Identifiers

PMID36201211
PMCPMC9539714
OpenAlexW4302306884

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.