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Enregistrement W4403563718 · doi:10.1016/j.msard.2024.105943

Comorbidities and their association with outcomes in the multiple sclerosis population: A rapid review

2024· review· en· W4403563718 sur OpenAlexafffundabout
Hanna A. Frank, Melissa Chao, Helen Tremlett, Ruth Ann Marrie, Lisa M. Lix, Kyla A. McKay, Fardowsa Yusuf, Feng Zhu, Mohammad Ehsanul Karim

Notice bibliographique

RevueMultiple Sclerosis and Related Disorders · 2024
Typereview
Langueen
DomaineMedicine
ThématiqueMultiple Sclerosis Research Studies
Établissements canadiensSt. Paul's HospitalVancouver Hospital and Health Sciences CentreUniversity of ManitobaHealth Sciences CentreManitoba HealthUniversity of British Columbia
Organismes subventionnairesMultiple Sclerosis Society of Canada
Mots-clésMedicineMultiple sclerosisAssociation (psychology)PopulationPsychiatryEnvironmental healthPsychotherapist

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: Multiple sclerosis (MS) has a high comorbidity burden. Despite known associations with adverse outcomes, a comprehensive evaluation of the specific associations between individual comorbidities and disability, treatment initiation, and mortality remains underexplored. This study aimed to review and summarize existing evidence on the association between comorbidities and these three MS outcomes. METHODS: A rapid review spanning the period from January 2002 to October 2023 was conducted following the Cochrane Rapid Review Methods Group recommendations. MEDLINE, Embase, and the grey literature were searched to identify studies examining the effects of comorbidities on disability, treatment initiation, and mortality among individuals with MS. Data extraction and risk of bias assessments were systematically performed, with the Newcastle-Ottawa scale and A MeaSurement Tool to Assess systematic Reviews (AMSTAR-2) criteria for observational studies and systematic reviews respectively. RESULTS: The review included 100 primary studies, encompassing 88 different comorbidities. Most study populations were between 60-80% female, with an average age of 30-45 years at study start. The majority of included studies were conducted in Europe, North America, and Asia (specifically the Middle East). Over half (66%) of specific comorbidity-outcome relationships were examined within a single study only, and just two studies examined treatment initiation as an outcome. Methods used to assess comorbidities and outcomes varied widely and included self-report measures, medical records and diagnostic codes, and standardized clinical assessments. Depression was consistently associated with greater disability (adjusted hazard ratio (aHR): 1.50-3.59) and mortality (aHR: 1.62-3.55). Epilepsy was similarly associated with increased disability (aOR: 1.13-1.77) and increased mortality (aHR: 2.23-3.85). Diabetes was generally associated with increased mortality (aHR: 1.39-1.47), but results for disability were inconsistent. Most other conditions were examined in one or two studies only or findings varied across studies, unable to collectively indicate a clear association. Although the anxiety-disability relationship was assessed by 24 studies, the findings varied in terms of the presence, direction, and strength of a possible association, requiring nuanced interpretation. CONCLUSIONS: This study identifies relationships between various comorbidities and three outcomes in MS, providing a foundation for future research and clinical guidelines. People with psychiatric, metabolic, and neurological conditions may be at a higher risk of MS disease progression and may therefore benefit from the targeted treatment of their comorbidities. Overall, comorbidities have varying associations with MS outcomes and individual associations require further exploration. However, there is evidence that some comorbidities indicate worse disability and higher mortality risk, and present barriers to initiating MS treatment, making the prevention and management of comorbidities an integral piece of MS patient care. PROTOCOL: The protocol for this rapid review was registered on PROSPERO (ID: CRD42023475565) and published on Protocol Exchange (https://doi.org/10.21203/rs.3.pex-2438/v1).

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,909
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,094
Tête enseignante GPT0,313
Écart entre enseignants0,219 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeAutre devis
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations15
Publié2024
Routes d'admission3
Résumé présentoui

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