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  3. Performance of the eHealth decision support tool, MIPOGG, for recognising children with Li-Fraumeni, DICER1, Constitutional mismatch repair deficiency and Gorlin syndromes.
 

Performance of the eHealth decision support tool, MIPOGG, for recognising children with Li-Fraumeni, DICER1, Constitutional mismatch repair deficiency and Gorlin syndromes.

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Publisher DOI
10.1136/jmg-2023-109376
PubMed ID
37460202
Description
BACKGROUND

Cancer predisposition syndromes (CPSs) are responsible for at least 10% of cancer diagnoses in children and adolescents, most of which are not clinically recognised prior to cancer diagnosis. A variety of clinical screening guidelines are used in healthcare settings to help clinicians detect patients who have a higher likelihood of having a CPS. The McGill Interactive Pediatric OncoGenetic Guidelines (MIPOGG) is an electronic health decision support tool that uses algorithms to help clinicians determine if a child/adolescent diagnosed with cancer should be referred to genetics for a CPS evaluation.

METHODS

This study assessed MIPOGG's performance in identifying Li-Fraumeni, DICER1, Constitutional mismatch repair deficiency and Gorlin (nevoid basal cell carcinoma) syndromes in a retrospective series of 84 children diagnosed with cancer and one of these four CPSs in Canadian hospitals over an 18-year period.

RESULTS

MIPOGG detected 82 of 83 (98.8%) evaluable patients with any one of these four genetic conditions and demonstrated an appropriate rationale for suggesting CPS evaluation. When compared with syndrome-specific clinical screening criteria, MIPOGG's ability to correctly identify children with any of the four CPSs was equivalent to, or outperformed, existing clinical criteria respective to each CPS.

CONCLUSION

This study adds evidence that MIPOGG is an appropriate tool for CPS screening in clinical practice. MIPOGG's strength is that it starts with a specific cancer diagnosis and incorporates criteria relevant for associated CPSs, making MIPOGG a more universally accessible diagnostic adjunct that does not require in-depth knowledge of each CPS.
Date of Publication
2023-11-27
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Keyword(s)
Clinical Decision-Making Genetic Predisposition to Disease Genetics Medical Oncology Pediatrics
Language(s)
en
Contributor(s)
Hebert, Robyn
Cullinan, Noelle
Armstrong, Linlea
Blood, Katherine A
Brossard, Josee
Brunga, Ledia
Cacciotti, Chantel
Caswell, Kimberly
Cellot, Sonia
Coltin, Hallie
Deyell, Rebecca J
Felton, Kathleen
Fernandez, Conrad V
Fleming, Adam J
Gibson, Paul
Hammad, Rawan
Jabado, Nada
Johnston, Donna L
Lafay-Cousin, Lucie
Larouche, Valérie
Leblanc-Desrochers, Cassandra
Michaeli, Orli
Perrier, Renee
Pike, Meghan
Say, Jemma
Schiller, Ian
Toupin, Annie-Kim
Vairy, Stéphanie
van Engelen, Kalene
Waespe Laredo, Nicolas Thomas
Universitätsklinik für Kinderheilkunde
Villani, Anita
Foulkes, William D
Malkin, David
Reichman, Lara
Goudie, Catherine
Additional Credits
Universitätsklinik für Kinderheilkunde
Series
Journal of medical genetics
Publisher
BMJ Publishing Group
ISSN
0022-2593
Access(Rights)
metadata.only
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