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Record 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 on OpenAlexaff
Alessandra Lugaresi, Vilija Jokubaitis, Kristen M. Krysko

Bibliographic record

VenueFrontiers in Neurology · 2024
Typeeditorial
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMultiple sclerosisGerontologyCitationPsychologyLate childhoodMedicineDevelopmental psychologyPsychiatryPolitical science

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0040.002
Science and technology studies0.0020.002
Scholarly communication0.0060.005
Open science0.0050.002
Research integrity0.0160.018
Insufficient payload (model declined to judge)0.0180.012

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.270
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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