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Early Identification of Children With Asthma

NCT06988358 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2025-10-02

No results posted yet for this study

Summary

GPs are one of the key players in the early diagnosis of chronic diseases, such as asthma in pre-school children, by detecting symptoms of illness as early as possible. Patient health data is collected on an ongoing basis in GPs' electronic medical records, but remains little exploited despite its potential.

Helping GPs to identify asthma in pre-school children, based on the information in their electronic medical records, could help them to diagnose the condition early and thereby reduce the morbidity and mortality associated with it.

An algorithm developed and evaluated in a primary care data warehouse should help GPs to identify children with a diagnosis of asthma at an early stage.

Conditions

  • Asthma in Children

Interventions

DIAGNOSTIC_TEST

Group of children identified by the algorithm as having asthma

150 medical files of children identified by the algorithm as having asthma will be randomly selected for expert appraisal.

DIAGNOSTIC_TEST

Group of children not identified by the algorithm as having asthma

150 medical files of children not identified by the algorithm as having asthma will be randomly selected for expert appraisal.

Sponsors & Collaborators

  • University Hospital, Rouen

    lead OTHER

Principal Investigators

  • Charlotte CS SIEGFRIDT, Doctor · Maison de santé pluriprofessionnelle de Romilly sur Andelle

Eligibility

Min Age
24 Months
Max Age
71 Months
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-30
Primary Completion
2026-12-31
Completion
2027-06-30

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06988358 on ClinicalTrials.gov