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Enregistrement W4391610299 · doi:10.3389/fneur.2024.1368420

Editorial: Aging in multiple sclerosis: from childhood to old age, in women and men

2024· editorial· en· W4391610299 sur OpenAlexaff
Alessandra Lugaresi, Vilija Jokubaitis, Kristen M. Krysko

Notice bibliographique

RevueFrontiers in Neurology · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiqueMultiple Sclerosis Research Studies
Établissements canadiensUniversity of TorontoSt. Michael's Hospital
Organismes subventionnairesnon disponible
Mots-clésMultiple sclerosisGerontologyCitationPsychologyLate childhoodMedicineDevelopmental psychologyPsychiatryPolitical science

Résumé

récupéré en direct d'OpenAlex

The research topic "Aging in multiple sclerosis: from childhood to old age, in women and men" consists of 12 articles providing insight into several of these aspects of MS, including aging, menopause, reproductive issues, and providing considerations on treatment, working impairment, socio-economic burden and frailty. The need to assess the role of aging, sex hormones, diet, and infections, has enhanced our understanding in many research areas, from immunology to imaging techniques to psychology; topics further explored in the context of multiple sclerosis in this issue.In their extension of the 2019 reviews on neurological disorders 3 and MS 4 global, regional and national burden, Qian and coll. address the issue of changes reported in the incidence, mortality, disability-adjusted life years (DALYs), all of which have increased, and age-standardized rates, calculated from the available GBD 2019 data, which conversely have decreased (Qian et al).With improvement of diagnostic and treatment algorithms and consequently of outcomes, the epidemiology of MS has shifted to an older than previously described population, with a peak prevalence in the 55-65 years age group. Around 50-years of age there is a consistent peak of disability accrual. Macaron et al provide thoughtful treatment considerations, taking into account confounders linked to aging, comorbidities and consequent frailty. They suggest, depending on individual characteristics to monitor concomitant symptomatic treatment, to switch to safer DMTs or to de-escalate treatment through administration interval extension (Macaron et al)The impact of MS on working ability and productivity have been studied by Moccia et al through a cross-sectional study (Moccia et al). They have found that in MS working ability is decreased compared to matched controls, with an impact of fatigue and cognitive dysfunction, leading to lower quality of life.The socio-economic consequences of physical and mental disability later in life have been extensively studied in Denmark, where elderly persons with MS (PwMS) face unemployment, reduced income, and increased dependence on social care (Wandall-Holm et al)In their narrative review Capasso et al highlight the importance of a timely diagnosis both in POMS and LOMS, to overcome challenges encountered along the whole course of MS, including improving communication and active involvement of PwMS and caregivers (Capasso et al).As both mental and physical disability progress steadily in the secondary progressive phase, the timely identification of patients at risk might positively impact on further course. Tartaglia et al suggest to use the frailty index, which correlates with the neurophysiological index and neurodegenerative rather than inflammatory processes, to predict conversion to progression (Tartaglia et al) Along this line the systematic review by Tokarska et al highlight the use of magnetic resonance imaging (MRI) in investigating the neurobiological aging process, including physical and cognitive deterioration in PwMS, addressing questions such as (1) how does brain structure (e.g., volume, white matter microstructure) differ or change with age in PwMS? Studies show an accelerated whole brain and gray matter atrophy in PwMS; (2) Are there specific structural MRI findings in older PwMS compared to younger PwMS? This issue is still controversial, due to the lack of sufficient data available, but there is some evidence that aging may have differential effects on brain atrophy in PwMS across the lifespan as compared to normal aging; (3) Are there structural differences in the brain as a function of sex in aging PwMS? Despite the insufficient number of studies investigating this issue, the evidence to date suggests that males have greater brain atrophy than females with age, corresponding to a more rapid disability accumulation and cognitive decline in males than in females; it has also been suggested that menopause may affect brain atrophy patterns in aging females with MS (Tokarska et al).Further, the multicenter retrospective study conducted in China on 208 PwMS to investigate the sex-related differences in connectivity strength and time variability within large-scale networks in relapsing remitting (RR) MS, showed alterations in connectivity strength only in male PwMS and time variability in female PwMS, suggesting that sex-related mechanisms may play an important role in the functional impairment and reorganization of cerebral activity in RRMS (Wang et al).With aging many PwMS present with co-morbidities which might decrease the performance of the central vein sign in the differential diagnosis of MS. Lapucci et al have investigated this issue on 5303 lesions selected for the CVS assessment in 120 MS patients stratified into 4 Age Groups. They found that age and migraine have a relevant impact in reducing the percentage of perivenular lesions, particularly in the deep/subcortical WM. They suggest to use the Spherical Mean Technique (SMT) diffusion model, as an helpful tool to differentiate perivenular lesions, characterized by higher inflammation, demyelination and fiber disruption, from non-perivenular lesions secondary to a different pathophysiology, especially in the deep/subcortical white matter of older patients. (Lapucci et al) Regarding WwMS, with strategies to manage pregnancy planning which have deeply changed along the last 30 years, a Delphi survey conducted in Italy led to the formulation of 21 statements in relation to pregnancy planning. Statements were dedicated to WwMS and active disease treated with second line drugs, who are at higher risk of relapse. Further statements dealt with the strategies to be adopted in case of medically assisted reproduction, especially when failure is expected and to oocyte cryopreservation in women with reduced ovarian reserve, who require unpredictable time to complete diagnosis workup and achieve control of the disease (Carbone et al) Lorefice et al investigated the possible role of menopause in influencing MS from clinical and neuroradiological perspectives, with special attention on brain atrophy. They found that menopause may facilitate cortical GM atrophy, probably due to a decline in the neuroprotective effects of estrogen (Lorefice et al).The incidence of cancer in MS and the effects of treatment have not been thoroughly investigated and available results are conflicting. More specifically, there is limited data on the effect of DMTs on cervical cancer risk in women with MS (WwMS). In their review Bridge et al report the different risks associated with low, moderate and high efficacy drugs, according to different modes of action. They also take into account the possible positive effects of cervical screening programs and HPV vaccination against the barriers which preclude preventative health assessments in more advanced cases (Bridge et al).We hope to have provided readers with new insight in the complexities of aging with MS. Topics still needing consideration include the impact of diagnosis on personal and sexual relationships; the role of pre-puberty and puberty in pediatric onset MS; the role of sex hormones during childbearing age (in particular hormone therapy and changes in pregnancy and puerperium); MRI techniques to investigate sexual dysfunction in male and female patients; cognition across different age groups in POMS, adult-onset MS and LOMS; immune-senescence in MS.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,060

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,022
Méta-épidémiologie (sens strict)0,0050,001
Méta-épidémiologie (sens large)0,0060,005
Bibliométrie0,0040,002
Études des sciences et des technologies0,0020,002
Communication savante0,0060,005
Science ouverte0,0050,002
Intégrité de la recherche0,0160,018
Charge utile insuffisante (le modèle a refusé de juger)0,0180,012

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 Opus0,018
Tête enseignante GPT0,270
Écart entre enseignants0,252 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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