Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2020
Validity of laryngomalacia classification systems: A multi-institutional agreement study.
СтатьяМногоцентровое исследованиеВалидационное исследованиеНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Sivarajah Shanmugappiriya, Isaac Andre, Anderson Shelaina, Mehta Deepak, Hong Paul, Alrajhi Yaser, El-Hakim Hamdy
Аннотация
OBJECTIVES: To determine the agreement of paediatric otolaryngologists on classifying laryngomalacia (LM).
DESIGN: Intra- and interobserver agreement study of two classification systems.
SETTING: Three tertiary referral paediatric centres.
PARTICIPANTS: Three paediatric otolaryngologists, who were blinded to any clinical details, interpreted the videos of children diagnosed with LM using the Holinger and Olney classifications independently. They rated the videos twice with a washout period of at least 2 weeks.
THE MAIN OUTCOME MEASURES: Inter- and intra-observer agreement measured by overall Fleiss kappa and unweighted Cohen's kappa coefficients. The secondary outcome measures were inter- and intra-observer agreement on the individual anatomical subunits of the supraglottis affected by LM, characterised by the subcategories of the classifications.
RESULTS: Video records of infants and children <18 years who had an endoscopic diagnosis of LM from 2012 to 2017 were retrospectively chosen for inclusion (n = 73). The overall Fleiss kappa coefficient was 0.25 (95% CI 0.18-0.32) amongst the raters using the Holinger classification and 0.31 (95% CI 0.21-0.42) for the Olney classification. Intra-observer agreement using the Holinger classification was 0.30 (95% CI 0.18-0.42), 0.62 (95% CI 0.23-0.85) and 0.84 (95% CI 0.75-0.94], whilst the Olney classification yielded values of 0.41 (95% CI 0.26-0.56), 0.51 (95% CI 0.29-0.63) and 0.63 (95% CI 0.48-0.78).
CONCLUSIONS: The agreement on types of LM between expert observers is modest using the Holinger and Olney classifications. This has significant implications for accurately diagnosing LM and exposes potential obstacles against credible pooling of data and extrapolation of information.
DESIGN: Intra- and interobserver agreement study of two classification systems.
SETTING: Three tertiary referral paediatric centres.
PARTICIPANTS: Three paediatric otolaryngologists, who were blinded to any clinical details, interpreted the videos of children diagnosed with LM using the Holinger and Olney classifications independently. They rated the videos twice with a washout period of at least 2 weeks.
THE MAIN OUTCOME MEASURES: Inter- and intra-observer agreement measured by overall Fleiss kappa and unweighted Cohen's kappa coefficients. The secondary outcome measures were inter- and intra-observer agreement on the individual anatomical subunits of the supraglottis affected by LM, characterised by the subcategories of the classifications.
RESULTS: Video records of infants and children <18 years who had an endoscopic diagnosis of LM from 2012 to 2017 were retrospectively chosen for inclusion (n = 73). The overall Fleiss kappa coefficient was 0.25 (95% CI 0.18-0.32) amongst the raters using the Holinger classification and 0.31 (95% CI 0.21-0.42) for the Olney classification. Intra-observer agreement using the Holinger classification was 0.30 (95% CI 0.18-0.42), 0.62 (95% CI 0.23-0.85) and 0.84 (95% CI 0.75-0.94], whilst the Olney classification yielded values of 0.41 (95% CI 0.26-0.56), 0.51 (95% CI 0.29-0.63) and 0.63 (95% CI 0.48-0.78).
CONCLUSIONS: The agreement on types of LM between expert observers is modest using the Holinger and Olney classifications. This has significant implications for accurately diagnosing LM and exposes potential obstacles against credible pooling of data and extrapolation of information.