Concordance of three methods for palpebral fissure length measurement in the assessment of fetal alcohol spectrum disorder.
Notice bibliographique
Résumé
BACKGROUND: The assessment of individuals at risk of fetal alcohol spectrum disorders (FASD) includes the assessment of the craniofacial features that can result from prenatal alcohol exposure. The characteristic facial features of fetal alcohol syndrome (FAS) consist of short palpebral fissures, smooth or flattened philtrum, and thin vermilion border of the upper lip. There are various methods for measuring palpebral fissure lengths (PFLs) and it can be challenging for clinicians to obtain reproducibly accurate measurements. The development of the FAS Facial Photographic Analysis Software by the University of Washington FAS Diagnostic and Prevention Network (DPN) is one such means of improving the accuracy and reproducibility in these measurements. OBJECTIVES: To assess concordance across three methods of PFL measurement: 1) a clear plastic handheld ruler, 2) blunt precision slide calipers, and 3) digital photometric photography (FAS Facial Photographic Analysis Software). METHODS: The PFLs of 50 children (referred to the Clinic for Alcohol and Drug Exposed Children, CADEC) at Children's Hospital in Winnipeg and 50 adults from the University of Manitoba Medical Class of 2008 were measured once by a single clinician, using each of the three methods. The frequency and magnitude of discordance was tabulated. No method served as a gold-standard. RESULTS: The PFLs ranged from 20 to 32 mm. The ruler and photometric measures were concordant in 42% of the subjects. When measures were discordant, half the ruler measures were larger and half were smaller. The caliper measure was concordant with the photometric and ruler measures on 18% and 24% of the subjects, respectively. When measures were discordant, the caliper measures were almost always larger than the photometric and ruler method (0.5 to 2.5 mm larger, 83% and 95% of the time, respectively). The presence of epicanthal folds did not appear to be a factor that contributed to discordance. CONCLUSION: This study demonstrates the challenge in measuring the PFL, even when a single trained clinician is involved. Factors that can contribute to error include the subject's willingness to cooperate, ability to tolerate placement of the tool close enough to the eye to obtain an accurate measure, and precision of the tool. When controlling for the clinician performing the measurements and the quality of the photographs, the ruler and photometric measures were most concordant. The caliper measures tended to measure larger than the ruler and photometric measures.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».