[article] 
inAutism Research > 15-2 (February 2022) . - p.296-304

Titre :	What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT
Type de document :	Texte imprimé et/ou numérique
Auteurs :	Synnve SCHJØLBERG, Auteur ; F. SHIC, Auteur ; Fred R. VOLKMAR, Auteur ; Anders NORDAHL-HANSEN, Auteur ; N. STENBERG, Auteur ; T. TORSKE, Auteur ; K. LARSEN, Auteur ; K. RILEY, Auteur ; D. G. SUKHODOLSKY, Auteur ; J. F. LECKMAN, Auteur ; Katarzyna CHAWARSKA, Auteur ; Roald A. ØIEN, Auteur
Article en page(s) :	p.296-304
Langues :	Anglais (eng)
Mots-clés :	children  early detection  psychometrics  (includes financial disclosures): None
Index. décimale :	PER Périodiques
Résumé :	The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18?months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives.
En ligne :	http://dx.doi.org/10.1002/aur.2643
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

[article] What are we optimizing for in autism screening? Examination of algorithmic changes in the M-CHAT [Texte imprimé et/ou numérique] / Synnve SCHJØLBERG, Auteur ; F. SHIC, Auteur ; Fred R. VOLKMAR, Auteur ; Anders NORDAHL-HANSEN, Auteur ; N. STENBERG, Auteur ; T. TORSKE, Auteur ; K. LARSEN, Auteur ; K. RILEY, Auteur ; D. G. SUKHODOLSKY, Auteur ; J. F. LECKMAN, Auteur ; Katarzyna CHAWARSKA, Auteur ; Roald A. ØIEN, Auteur . - p.296-304.
Langues : Anglais (eng)
in Autism Research > 15-2 (February 2022) . - p.296-304

Mots-clés :	children  early detection  psychometrics  (includes financial disclosures): None
Index. décimale :	PER Périodiques
Résumé :	The present study objectives were to examine the performance of the new M-CHAT-R algorithm to the original M-CHAT algorithm. The main purpose was to examine if the algorithmic changes increase identification of children later diagnosed with ASD, and to examine if there is a trade-off when changing algorithms. We included 54,463 screened cases from the Norwegian Mother and Child Cohort Study. Children were screened using the 23 items of the M-CHAT at 18?months. Further, the performance of the M-CHAT-R algorithm was compared to the M-CHAT algorithm on the 23-items. In total, 337 individuals were later diagnosed with ASD. Using M-CHAT-R algorithm decreased the number of correctly identified ASD children by 12 compared to M-CHAT, with no children with ASD screening negative on the M-CHAT criteria subsequently screening positive utilizing the M-CHAT-R algorithm. A nonparametric McNemar's test determined a statistically significant difference in identifying ASD utilizing the M-CHAT-R algorithm. The present study examined the application of 20-item MCHAT-R scoring criterion to the 23-item MCHAT. We found that this resulted in decreased sensitivity and increased specificity for identifying children with ASD, which is a trade-off that needs further investigation in terms of cost-effectiveness. However, further research is needed to optimize screening for ASD in the early developmental period to increase identification of false negatives.
En ligne :	http://dx.doi.org/10.1002/aur.2643
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450