What is the impact of childhood asthma on the educational attainment of children
Notice bibliographique
Résumé
Searches The search will be performed by NTW, NDW and RJ and differences will be resolved by discussion with a fourth reviewer (SJS) . We will conduct searches in Pubmed, Science Direct, Web of Science, The Cochrane Library and Scopus. In addition to the electronic search, the studies cited by the included studies and the studies included in the previous meta-analyses related to the subject will be searched. Inclusion criteria: - Studies published from anytime to present - Studies that document history of childhood asthma (less than 18 years of old) and educational attainment of children less than 18 years old - Studies with any sample size - Studies covering any regions and countries Exclusion criteria: - Non -English studies - Grey Literature, congress, conference and symposium etc. abstracts, reports published in meeting booklets without the full article Types of studies to be included Any type of research study Condition or domain being studied Asthma in childhood: Asthma is a common childhood respiratory illness affecting both developed and developing countries. Though the prevalence is varied between countries, increasing urbanization and indoor/ outdoor air pollution triggers asthma among susceptible children. Uncontrolled and exaggerated attacks can cause mortality, sleep disturbance, mobility limitation, reduced exercise capacity and psychological issues among children which can adversely affect their educational outcomes. The potential impact on the educational performance is still not widely analysed and documented. Inclusion criteria Population Individuals aged 18 and under Exposure Diagnosed/ self reported asthma when aged 18 and under Comparator Individuals aged 18 and under without Asthma Outcome Education outcomes related to school attendance, school completion, exam scores and pass rates* Study design Any type of research study that document asthma and educational outcomes Data extraction (selection and coding) The titles and abstract of studies identified from the developed search strategy will be screened with the assistance of Rayyan literature review software. Title abstract and screening will be completed by NTW, NDW, RJ and any conflicts between reviewers regarding which studies will progress to full text screening will first attempt to be resolved through discussion, with a fourth reviewer (SJS) available to arbitrate any unresolved disagreement. Full-text screening will then be conducted again with three reviewers independently, with any disagreements to be resolved through discussion initially and fourth (SJS) and fifith (FS) reviewer available to arbitrate any unresolved disagreement. Included studies will then progress to data extraction. A flowchart of the selection process that meets the guidelines of the ‘Preferred Reporting Items for Systematic Reviews and Meta-Analyses’ (PRISMA) will be prepared. In addition to the factors that influence selection, information to describe relevant characteristics of included studies will also be extracted including description of the study design and context (including country and participating sample) as well as a summary of methods and procedures used. For the data extraction a spreadsheet in Microsoft Excel 2019 will be prepared. The spreadsheet will initially be piloted with a small selection of included articles. Final amendments to the structure of the excel spreadsheet will be made prior to then completing data extraction for all articles. Extraction of data will be performed by one reviewer (NTW) and checked="checked" value="1" by a second reviewer(NDW). Any conflicts will be resolved through discussion until there is consensus (with additional reviewers available to arbitrate any unresolved disagreement if necessary). Risk of bias assessment Different types of risk of bias assessment tools will utilize according to the type of research study. For Randomised Intervention Studies- Cochrane RoB tool For Non Randomised Intervention studies – ROBINS I tool (Risk Of Bias In Non-randomised Studies) For interrupterd time series studies- Efective Practice and Organization of Care group (EPOC) Risk of Bias tool For case control and cohort and descriptive studies- New Castle-Ottawa scale These are widely used critical appraisal tools that are relevant for both qualitative and quantitative study designs to assess the methodological quality of a study and to determine the extent to which a study has addressed the possibility of bias in its design, conduct and analysis. The bias assessment will be conducted independently by two reviewers. Any disagreement will be resolved through discussion, and if necessary a third reviewer will be consulted. Strategy for data synthesis The included studies will be described and summarized in tables. It is expected that the studies to be included will likely have used varying methods, outcome typologies and study designs, and thereby it may not be possible to perform a quantitative synthesis to address the primary aim of this review. If there are studies that are sufficiently homogeneous in nature, a quantitative synthesis will be performed or we will try to develop a standardised method. A narrative synthesis of the results of will be conducted for the non-homogenous articles. Analysis of subgroups or subsets. Following subgroups analysis will be performed provided that sufficient information is available in the results. Compare the outcomes of children with and without other co-morbidities additionally to asthma Compare the outcomes of children based on the description of severity of Asthma
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 | 0,016 | 0,053 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,002 |
| Méta-épidémiologie (sens large) | 0,016 | 0,010 |
| Bibliométrie | 0,022 | 0,023 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,002 |
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 ».