Is Hidradenitis Suppurativa associated with a lower socioeconomic status compared to the general population: A systematic review and meta-analysis.
Notice bibliographique
Résumé
1. * Review title. Is Hidradenitis Suppurativa associated with a lower socioeconomic status compared to the general population: A systematic review and meta-analysis. 2. * Anticipated or actual start date. 05/02/2020 3. * Anticipated completion date. 07/04/2020 4. * Stage of review at time of this submission. Review stage Started Completed Preliminary searches Completed Piloting of the study selection process Completed Formal screening of search results against eligibility criteria Completed 5. * Named contact. Adrian Bailey 6. * Named contact email. abail082@uottawa.ca 7. Named contact address 4512 Appleton Side Road 8. Named contact phone number. 6138585029 9. * Organisational affiliation of the review. University of Ottawa 10. * Funding sources/sponsors. None 11. * Conflicts of interest. None 12. * Review question. Is Hidradenitis Suppurativa associated with a lower socioeconomic status compared to the general population? P = Adult patients with Hidradenitis Suppurativa I = N/A C = The general adult population (or a reference population that is representative of the general population) O = Socioeconomic status 13. * Searches. PubMed and Scopus (April 3rd 2020). No date restrictions. English articles only. 14. * Condition or domain being studied. Low socioeconomic status (SES) has been shown to be associated with hidradenitis suppurativa (HS); however, the literature lacks an assessment of this association across a variety of populations and recommendations for future research. Here, we plan toi systematically review and meta-analyse the current evidence on HS and SES. 15. * Participants/population. Inclusion: -Adult patients (16 years or older) with Hidradenitis Suppurativa Exclusion: -Paediatric patients -Animal studies 16. * Intervention(s), exposure(s). -Not applicable. 17. * Comparator(s)/control. -General population (ex. other dermatology patients) 18. * Types of study to be included. Eligible study designs included population-based retrospective cohort, cross sectional, and case-control studies. Grey literature and other study designs were excluded. An Odds ratio will be used to measure the association between low socioeconomic status and patients with Hidradenitis Suppurativa compared to a reference population (a representative sample of the general population). Studies that do not provide this data, data necessary to calculate an Odds ratio, or their corresponding author was not able to provide this data will be excluded. 19. * Main outcome(s). -Socioeconomic status. Any definition and stratification of SES will be accepted, such as income, postal code, occupation, insurance status, and census data. * Measures of effect -An Odds ratio will be used to measure the association between low socioeconomic status and patients with Hidradenitis Suppurativa compared to a reference population. 20. * Data extraction (selection and coding). -Study Characteristics = setting, date range of data collection, population size, socioeconomic status measure used, if an adjusted model was used, and what factors were accounted for if an adjusted model was used. -Odds ratio or raw data that can be used to calculate the Odds ratio of the association of low socioeconomic status and patients with Hidradenitis Suppurativa, compared to a reference population. 21. * Risk of bias (quality) assessment. The risk of bias will be determined using the National Institutes of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. 22. * Strategy for data synthesis. The inverse variance model with the fixed effects model, to account for variations in study size, will be used to estimate the Odds ratio and confidence intervals for each study. Heterogeneity across studies will be assessed using the I² statistic. 23. * Analysis of subgroups or subsets. None planned 24. Language. English 25. * Country. Canada 26. Dissemination plans. Publication to a major journal. 27. Current review status. Ongoing.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 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 ».