Increasing Incidence of Optic Nerve Hypoplasia/ Septo-Optic Dysplasia Spectrum: Geographic Clustering in Northern Canada
Notice bibliographique
Résumé
Abstract BACKGROUND: Since optic nerves and pituitary gland are embryologi-cally related, optic nerve hypoplasia (ONH) and septo-optic dysplasia (SOD) represent a clinical spectrum associated with visual impairment, pituitary deficiencies, and severe CNS structural malformations(SODplus). ONH is a leading cause of pediatric blindness in North America; genetic mutations are rarely observed. We recently perceived an increase in the number of children with SOD in our clinic. Similarly, several studies have reported a rise in the incidence of ONH/SOD in other jurisdictions. OBJECTIVES: Our primary objectives were to examine trends in annual incidence in Manitoba and geographical clustering in our catchment area ofManitoba, NW Ontario and Nunavut. DESIGN/METHODS: This was a retrospective 1996-2015 chart review from all medical services (Neurology, Ophthalmology, Endocrinology, Genetics) caring for these children to extract information pertaining to anthropometric measures, radiologic findings, parental characteristics, endocrinopathies, and neurologic symptoms. Postal codes were used to assign map co-ordinates and census-based material and social deprivation indices. Numbers of children from Manitoba only were used to calculate annual incidence. From 2010-2014, a Quality Assurance (QA) sub-study identified all pediatric radiology reports containing the words 'optic nerve'; the additional cases of ONH/SOD children not identified by chart review were used to better define the true incidence in Manitoba. RESULTS: Ninety-three children were identified in our catchment area by chart review; Poisson regression confirmed a striking 1.11-fold annual increase (95%CI=1.07-1.16) or ~800% over two decades. The annual incidence (averaged 2010-2014) reached 53.3 per 100,000 affecting 1 in 1875 live births (chartdata). Including children identified by QA sub-study, the incidence rose to 113.3 per 100,000 live births in Manitoba. These are much higher than previously reported. Most children (~60%) had SODplus. Common presenting or follow-upfeatures were hypoglyce-mia, nystagmus, seizures, and developmental delay (50%); 40% had hormone deficiencies; 80% (75/93) had reduced visual acuity, typically bilateral. Many childrenwere born prematurelywith young (mean 21y: IQR 19-26y), primiparous mothers. Unhealthy maternal lifestyles and severe material deprivation were noted. There wasdisproportionate clustering in Northern Manitoba (3 times the average provincial rate) and in Nunavut. CONCLUSION: We noted a dramatic rise in the annual incidence of ONH/SOD in Manitoba, NW Ontario and Nunavut, which is much higher than previous reports. This disorderwas strongly associated with poverty in northern communities. The temporal picture was consistent with environmental, nutritional, or toxic etiologies. About half of the children were severely affected with increased morbidity and health care burdens.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,007 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».