Literature DB >> 35393340

Quantitative effect of sex on disease activity and disability accumulation in multiple sclerosis.

Melinda Magyari1,2, Nils Koch-Henriksen2,3.   

Abstract

OBJECTIVE: To quantify sex differences in activity and severity of multiple sclerosis (MS) and how it depends on disease duration and time since clinical onset.
METHODS: All Danish citizens with onset of relapsing MS since 1996 who have received disease-modifying therapy have been followed with annual or biannual control visits with mandatory notification of the Danish Multiple Sclerosis Registry. Men and women were compared by the inverse probability of being female. Relapse rates and changes in the Expanded Disability Status Scale (EDSS) scores were analysed with weighted general linear models, and we used weighted Cox regression for HRs between men and women for different EDSS endpoints.
RESULTS: We included 3028 men and 6619 women. The weighted female:male relapse rate ratio was 1.16 (95% CI: 1.10 to 1.22) but after age 50 years, the difference disappeared. The annualised increase in EDSS was 0.07 in men (95% CI: 0.05 to 0.08) and 0.05 in women (95% CI: 0.04 to 0.06); p=0.017. With women as reference, the HR for reaching EDSS 4 was 1.34 (95% CI: 1.23 to 1.45; p<0.001), and for reaching EDSS 6 it was 1.43 (95% CI: 1.28 to 1.61; p<0.001). The diagnostic delay did not differ significantly between the sexes.
CONCLUSION: Women have more inflammatory disease activity in terms of relapses than men up to the age of menopause indicating that sex hormones may play a role. Men are more subject to the neurodegenerative component of MS than women, particularly after the age of 45 years. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  CLINICAL NEUROLOGY; EPIDEMIOLOGY; MULTIPLE SCLEROSIS; NEUROEPIDEMIOLOGY

Mesh:

Year:  2022        PMID: 35393340      PMCID: PMC9279846          DOI: 10.1136/jnnp-2022-328994

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   13.654


Multiple sclerosis (MS) is more prevalent in women than men and sex differences are shown in the disease course. In a nationwide population-based cohort study, we quantified sex differences in the inflammatory and neurodegenerative component of MS development. The sex differences disappear after the age of 50 years indicating that the differences between younger men and women are primarily attributable to sex hormones. Sex differences are important for the personalised management of MS, for scientists and healthcare providers.

Introduction

Multiple sclerosis (MS) is an immunological disease of the central nervous system predominantly affecting women with a female:male incidence ratio which has increased to about 2.1 2 The disease is characterised by attacks of localised white matter inflammation causing neurological symptoms with a tendency for remission and, later in the course of the disease, progressive symptoms caused by chronic smouldering inflammation also involving grey matter. The spectrum of severity of the disease is broad, ranging from severe disability within a few years to being free of disability or symptoms for decades or even life-long. Female patients with MS tend to show more disease activity in terms of relapses,3 and male patients with MS accrue more disability with time,4–6 and have a higher excess death rate than women.7 The sex hormones may play a role in this difference, but genes on the X chromosome may also exert effect on the immune system independent of the sex hormones.8 The hormonal component of a sex effect on MS in women is expected to fade away with increasing age, particularly after menopause.9 In the first part of the study, we aim to quantify the sex differences in terms of relapse rates and disability accumulation, and how they depend on time since onset, on current age and on age at onset of MS using a complete nationwide cohort of patients who have been treated with disease-modifying therapy (DMT) for relapsing-remitting MS (RRMS) or clinical isolated syndrome (CIS). In the second and retrospective part of the study, we look at how the delay of diagnosis has changed through the last 70 years in men and women and changes over time in proportion of male and female patients with non-motor symptoms at onset.

Subjects and methods

The data source is the nationwide Danish MS Registry (DMSR) in which all known cases of MS among Danish citizens since 1948 have been recorded with identity, diagnostic classification, year of onset and diagnosis, and initial course of MS. DMSR is based on clinical records sent from all Danish departments of neurology with backup from the Danish National Patient Registry,10 in which all inpatient or outpatient admissions to Danish hospitals are registered with dates, ID and and diagnosis codes of the International Classification of Diseases, version 10, ensuring high completeness of DMSR. Since 1996, DMSR has also recorded information about relapses and disability at each obligatory biannual or annual control visit for all patients under DMT. DMSR is now notified directly online from the 13 neurological departments that classify the patients according to the current diagnostic criteria, at present the McDonald-2017 criteria.11 The DMSR has been presented in detail elsewhere.12

Design

The first part of the study is a cohort follow-up study. We have restricted this part of the study to patients who have had clinical onset of relapsing MS or CIS since 1 January 1996 and have received DMT. Patients with progressive onset were not treated with DMT and were not included in this part of the study. We have selected this cohort for the follow-up study because it has been followed with regular control visits. We have indexed patients by date of birth, date of onset and date of entry, which is the date of the commencement of the first DMT. From this time, relapses and Expanded Disability Status Scale (EDSS) scores have been recorded systematically. End of follow-up was 23 July 2021 or at the final discontinuation of DMT, whichever came first. Patients were followed irrespective of temporary discontinuation of treatment. The second, retrospective and descriptive part of the study includes all patients with MS in Denmark who were prevalent in 1949, and all patients with onset or diagnosis of MS from 1948 onwards.

Methods: the follow-up study

The endpoints of the follow-up part of the study are (1) sex differences in annualised relapse rates (ARRs) stratified by time since clinical onset and by current age; (2) sex differences in recorded EDSS scores stratified by time since entry and by current age; and (3) sex differences in cumulative probability of reaching the disability endpoints EDSS 3, EDSS 4, EDSS 6 and a score 3 in Pyramidal and Cerebellar Functional System since onset, given that the score did not revert within the remaining observation time; and if it happened near the end of follow-up, it should be confirmed by at least one subsequent observation.

Methods: the descriptive study

In this study, we investigate how diagnostic delays have changed over 70 years by sex, and how the proportion of men and women with sensory symptoms at onset varies through the decades. To avoid right truncation, we calculated the delay of diagnosis as the time from diagnosis backwards to clinical onset.

Statistical analyses

Men and women differ modestly as to clinical and demographic baseline variables. To make them comparable, we, in the follow-up study, used stabilised inverse probability treatment weights (sIPTWs) truncated by the 1/99 percentiles. In this context, ‘treatment’ means exposure by being a female. We calculated sIPTW using propensity scores for being a female given the other background variables: (1) age and disease duration at entry; (2) number of relapses in 24 months prior to entry; (3) diagnostic delay; (4) the first EDSS assessment after entry; (5) first symptom (motor or sphincter vs sensory or brainstem); and (6) the percentage of the observation time in which the patient has been treated with high-efficacy DMT. ARRs were analysed using weighted general linear models (GENLIN) with sex as an independent variable and counts of relapses as dependent variables, and logarithmic-transformed observation time since entry as offset, and the results were expressed as estimated marginal means. We also analysed annualised increase of EDSS using weighted GENLIN with sex as an independent variable, expressed as estimated marginal means. In the analyses of the subcohort with onset at or after age 50 years, we calculated the subcohort’s own sIPTWs. For data management, we used Visual Basic and SPSS V.25, and for statistical analyses we used SPSS V.25, but we performed the weighted Cox regressions using the statistical package R V.3.6.1. The curves in figure 1 tare sIPT-weighted Kaplan-Meier plots13 in which 95% CIs of the cumulative probabilities were calculated by the exponential variant of the method of Greenwood.14 The figures were created using R. The 95% CI of the time from diagnosis back to onset in figure 2, left panel, was obtained by bootstrapping with 1000 random samples per analysis.
Figure 1

Weighted estimated marginal means of annualized relapse rates and female: male relapse rate ratios in patients still under treatment, by sex. Left panel by time since onset. Right panel by current age, with 95% CI. Blue: men; red, women; green: relapse rare ratios. Vertical bars: 95% CI

Figure 2

Weighted estimated marginal mean EDSS in patients still under treatment, by sex. Left panel: by time since onset. Right panel: by current age. Blue: men; red: women.

Weighted estimated marginal means of annualized relapse rates and female: male relapse rate ratios in patients still under treatment, by sex. Left panel by time since onset. Right panel by current age, with 95% CI. Blue: men; red, women; green: relapse rare ratios. Vertical bars: 95% CI Weighted estimated marginal mean EDSS in patients still under treatment, by sex. Left panel: by time since onset. Right panel: by current age. Blue: men; red: women.

Sensitivity analysis

Where sIPTW from propensity scores adjusts for the association between the covariates and the exposure in question, traditional analysis adjusts for the effect of the covariates on the endpoints. We repeated some of the key analyses without weighting but with adjustment for the same covariates that we used for computing the propensity scores (see above).

Results

The follow-up study

In the DMSR, 13 645 patients had been registered with onset of MS or CIS since 1 January 1996 (4494 men and 9151 women; female:male ratio 2.03). The proportion of patients with primary progressive MS (PPMS) was 12.0% (15.8% among men and 12.0% among women) with a decreasing trend. Among them, we extracted 10 770 patients with an approved diagnosis of relapsing-remitting MS, secondary progressive MS, or CIS who had started DMT after 1 June 1996 (3397 men and 7373 women; female:male ratio 2.17). Among them, we included 9647 (3028 men and 6619 women; female:male ratio 2.19) who had been followed with relapses and EDSS for at least 1 year and at least two control visits. The baseline characteristics before and after weighting are shown in table 1 from which it appears that the two sexes even before weighting were well balanced as to the demographical and clinical parameters. Of the patients, 461 (185 men and 276 women) were censored because of final discontinuation of treatment before follow-up in the sense that they did not take up again treatment within the follow-up period. The remaining patients were still under treatment at follow-up by July 2021. Men who finally stopped treatment before the end of follow-up had a mean of last recorded EDSS score of 3.62 as opposed to 2.76 in men who were still on treatment at follow-up date. The corresponding mean EDSS scores for women were 3.50 and 2.54.
Table 1

Baseline variables in the subgroup of patients with onset from 1996 treated with DMT

VariableUnweightedsIPT-weighted
MenWomenMenWomen
N=3028N=6619N~3018N~6625
Mean age at onset (SD)34.3 (10.5)33.5 (10.2)33.8 (10.4)33.8 (10.3)
Mean age at entry (SD)37.7 (11.2)37.2 (10.8)37.4 (11.1)37.4 (10.8)
Mean disease duration at entry (SD)2.91 (3.74)3.17 (4.05)3.06 (3.86)3.09 (3.99)
Mean diagnostic delay, years (SD)2.49 (3.02)2.70 (3.32)2.62 (3.16)2.63 (3.24)
Mean EDSS score at entry (SD)2.19 (1.48)2.09 (1.41)2.18 (1.47)2.09 (1.41)
Mean relapses 24 months before entry (SD)1.63 (1.03)1.71 (1.09)1.68 (1.07)1.68 (1.06)
% with motor symptom at onset32.226.729.528.0
Mean observation time (years)
 IQR8.52 (3.99–12.26)8.75 (4.17–12.48)8.67 (4.06–12.49)8.70 (4.12–12.38)
% of observation time with HE DMT*41.939.540.340.3
Mean number of treatment switches per year of observation0.0590.0620.0570.063

*HE DMT: high-efficacy DMT (natalizumab, fingolimod, ofatuzumab, alemtuzumab, cladribine, mitoxantrone, ocrelizumab, rituximab).

DMT, disease-modifying therapy; EDSS, Expanded Disability Status Scale; sIPT, stabilised inverse probability treatment.

Baseline variables in the subgroup of patients with onset from 1996 treated with DMT *HE DMT: high-efficacy DMT (natalizumab, fingolimod, ofatuzumab, alemtuzumab, cladribine, mitoxantrone, ocrelizumab, rituximab). DMT, disease-modifying therapy; EDSS, Expanded Disability Status Scale; sIPT, stabilised inverse probability treatment.

Sex differences in relapse rates

With sIPT-weighted GENLIN analyses, the female:male relapse rate ratio was 1.16 (95% CI: 1.10 to 1.22). The estimated marginal means of ARRs were 0.32 for women (95% CI: 0.31 to 0.33) and 0.28 for men (95% CI: 0.27 to 0.29). The difference was statistically significant (p<0.001). In both men and women, the ARR decreased with time since onset, and the difference was maintained throughout the observation period (figure 1, left panel). ARR also decreased with current age in both men and women, but after age 50 years, the sex difference disappeared; (figure 1, right panel). In the subgroup of patients with clinical onset at age 50 years or later, there were no differences between men and women. The female:male relapse rate ratio was 1.08 (95% CI: 0.94 to 1.26); p=0.26.

Increase of EDSS by time and age

The weighted analyses of estimated marginal means of EDSS worsening showed that through the observation time, men deteriorated by 0.065 EDSS points per year (95% CI: 0.054 to 0.075), and women deteriorated less, with 0.049 EDSS points per year (95% CI: 0.042 to 0.056). The male:female ratio was 1.0216 (95% CI: 1.003 to 1.029). The difference was statistically significant (p=0.0017). In both sexes, mean values of EDSS score increased with time since onset as well as by current age. Figure 2, left panel, shows the mean EDSS by time since onset of the disease, and the right panel by time since birth (starting with age 20 years). Only after age 45 years men seem to accrete more disability than women. In the subgroup of patients with clinical onset at age 50 years or later, there were no differences between men and women. The mean annualised increase in EDSS was 0.154 in women and 0.139 in men, and the male:female ratio (exponentiated regression coefficient) was 0.986 (95% CI: 0.936 to 1.038; p=0.58).

EDSS milestones

Whether using onset or age 20 years as a starting point, the cumulative probability of reaching the confirmed and sustained endpoints EDSS 3, EDSS 4, EDSS 6, and a score of 3 in Pyramidal and Cerebellar Functional Systems was higher in men than in women. Table 2 shows the HRs with women as reference for all the endpoints and onset as starting point, while table 3 has age 20 years as starting point. In both settings, the HRs for all endpoints were statistically significantly above unity. From the tables it appears that HRs were higher for more remote endpoints. figure 3 shows the weighted Kaplan-Meier curves for the EDSS endpoints with onset (upper panels) and birth as starting point (lower panels) left truncated at age 20 with 95% CIs. It appears from the figures that the proportionality assumption was not met for the closest endpoint EDSS 3.
Table 2

Weighted Cox regression analyses of time from onset to irreversibly reaching disability milestones

EndpointEvents menCensored menEvents womenCensored womenHR*, unweightedHR*, weighted95% CICox p value
EDSS 3†185498839002568 1.300 1.227 1.138 to 1.323<0.001
EDSS 4774206813224846 1.446 1.364 1.240 to 1.502<0.001
EDSS 644323997015467 1.627 1.529 1.342 to 1.743<0.001
Pyramidal FS score 2619222310415127 1.430 1.337 1.209 to 1.479<0.001
Cerebellar FS score 219526472545914 1.872 1.796 1.483 to 2.174<0.0001

*HR with women as reference.

†Proportionality not met.

EDSS, Expanded Disability Status Scale; FS, Functional System.

Table 3

Weighted Cox regression analyses of time from birth to irreversibly reaching disability milestones

EndpointEvents menCensored menEvents womenCensored womenHR*, unweightedHR*, weighted95% CICox p value
EDSS 3†185498839002568 1.152 1.175 1.090 to 1.266<0.01
EDSS 4774206813224846 1.274 1.310 1.193 to 1.440<0.001
EDSS 644323997015467 1.440 1.488 1.311 to 1.690<0.001
Pyramidal FS score 2619222310415127 1.268 1.295 1.173 to 1.429<0.001
Cerebellar FS score 219526472545914 1.520 1.586 1.322 to 1.902<0.0001

*HR with women as reference.

†Proportionality not met.

EDSS, Expanded Disability Status Scale; FS, Functional System.

Figure 3

sIPTW-weighted ‘one-minus-survival’ Kaplan-Meier plots of with onset (upper panels) and birth (lower panels) as starting points. Shaded areas: 95% CI.

Weighted Cox regression analyses of time from onset to irreversibly reaching disability milestones *HR with women as reference. †Proportionality not met. EDSS, Expanded Disability Status Scale; FS, Functional System. Weighted Cox regression analyses of time from birth to irreversibly reaching disability milestones *HR with women as reference. †Proportionality not met. EDSS, Expanded Disability Status Scale; FS, Functional System. sIPTW-weighted ‘one-minus-survival’ Kaplan-Meier plots of with onset (upper panels) and birth (lower panels) as starting points. Shaded areas: 95% CI. If we define ‘benign MS’ by escaping EDSS 2 within 20 years from onset, there was a significant difference between women and men. The cumulative probability of not reaching EDSS 2 by year 20 after onset was 22.5% in women (95% CI: 21.0 to 24.0) and 13.1% in men (95% CI: 10.7 to 15.4). Hence, the general finding of higher hazards for disability in men was also reflected in the lower probability of remaining ‘benign’ after 20 years of onset in this cohort of patients with relapsing MS selected by being treated with DMT.

Effect of stabilised probability treatment weighting

It appears from table 1 that the demographic and clinical background variables are well balanced between the two sexes even before weighting. As a result, the differences between weighted and unweighted analyses were small. In the GENLIN analyses of relapse rates, the unweighted and unadjusted exponentiated regression coefficient with men as reference was 1.153 and the weighted ditto was 1.159. Results from the unweighted Cox regressions are listed in tables 2 and 3, and they differ little from the results of the weighted analyses. In the unweighted but fully adjusted GENLIN analysis of relapse rates in the two sexes, the exponentiated female:male regression coefficient was 1.15, indeed close to 1.16 in the weighted unadjusted analysis. We also performed the Cox regression analysis with onset as starting point and EDSS 4 as endpoint in the unweighted but fully adjusted analysis which was also adjusted for treatment (high or medium efficacy) as a time-dependent covariate. In this analysis, HR was 1.32 as compared with 1.34 in the weighted analysis (table 2). In all the analyses, the p value was <0.001. Hence, the results seem largely invariant to the method used for controlling confounding.

The descriptive study

In the DMSR, we have since 1948 registered 31 175 records of patients with onset of MS according to the current diagnostic criteria. In 12 624 patients from the DMSR, the diagnosis had been classified as ‘Definite MS’ but the initial course was unknown. The initial course of the remaining patients with MS was relapsing in 87.9% (men 83.9%, women 89.9%) and primary progressive in 12.1% of the cases (men 16.1%; women 10.1%). In 29.8% of the cases (men 32.1; women 28.5), the initial symptom was classified as either pyramidal, cerebellar or sphincteric, and in 50.1% the presenting symptom was either sensory including optic nerve or related to the brainstem (men 45.2%; women 52.9%). In the remaining 20.1%, the presenting symptom was unknown or otherwise classified (men 22.7%; women 18.6%). Figure 4, right panel, shows that the proportion of women with sensory (non-motor) symptoms at onset has increased since the 1970s but has remained virtually constant in men. This parallels the increasing MS incidence in women in the same periods.15
Figure 4

Left panel: mean retrospective time from diagnosis back to onset with 95% CI (obtained by bootstrapping). Right panel: Proportion of patients with sensory presenting symptoms with 95% CI. Blue: men; red: women.

Left panel: mean retrospective time from diagnosis back to onset with 95% CI (obtained by bootstrapping). Right panel: Proportion of patients with sensory presenting symptoms with 95% CI. Blue: men; red: women. The retrospective mean time from diagnosis back to onset was for the whole cohort and period 5.03 years in men (95% CI: 4.92 to 5.15) and 5.10 years in women (95% CI: 5.00 to 5.18), but this diagnostic delay decreased with time, and for patients diagnosed in the period 2010–2019, it was 4.00 years in men (95% CI: 3.77 to 4.26) and 4.19 years in women (95% CI: 4.00 to 4.37). The reason why it is higher in this part of the study than in the follow-up study (see table 1) is that we also included patients with PPMS and those who had not received DMT for other reasons. Figure 4, left panel, shows that there was no difference between men and women, over time.

Discussion

In this nationwide study with virtually complete follow-up of all patients with MS in Denmark with onset of relapsing MS or CIS since 1996, who have been subjected to DMT, we have found modest but statistically significant differences between the sexes as to clinical disease activity and progression of disability. We found that women have more inflammatory disease activity clinically manifested as 16% higher relapse rates than men. Men, on the other hand, accrue more disability with time than women. The difference between men and women in this respect is most conspicuously shown by the HRs for the EDSS milestones, ranging from 1.23 for EDSS 3 to 1.53 for EDSS 6. We also found that the difference in inflammatory disease activity between men and women faded away after the age of 50 years, whereas the sex difference in neurodegenerative component of MS became apparent after the age of 45 years and deepened with older age. A shorter time to EDSS endpoints in men compared with women has been shown in several studies,4 5 16–19 but not in PPMS.20 However, Debouverie found no significant differences between male and female patients with MS after adjustments.6 Male patients with MS are more subject to cognitive decline than female patients with MS.21–24 In accordance with higher relapse rates in our study in women, also found by others,3 women with CIS revert sooner than men to MS.25 The rate of EDSS worsening increased significantly in women after menopause.26 The faster disability progression in men is in accordance with our previous study where we found that men with MS had a higher excess mortality than women with MS when compared with the background population. The excess death rate for men was 6.82 extra deaths per 1000 person-years. For women, it was 4.63.7 Male patients with MS had fewer contrast-enhancing lesions on MRI than women but a tendency to have a higher proportion of lesions evolved into black holes,27 and there was more grey matter atrophy in male patients with MS,28 29 and more white matter atrophy in female patients with MS.28 The finding of more contrast-enhancing lesions in female patients with MS27 could not be confirmed in a study of a large dataset from the Sylvia Lawry Centre of patients originally eligible for randomised clinical trials, where there was no predictive value of sex for the presence of gadolinium enhancement.30 The effects of sex on disease progression can be associated with genetic factors, such as genes on the X chromosomes or by sex hormones, or both, as reviewed by Voskuhl.31 The disappearance of sex differences in disease activity after age 50 years in our study indicates that sex hormones play an important role. The main limitation of our study is that it only concerns patients with relapsing MS during DMT. Patients with PPMS were not included, because we less systematically collected information about EDSS in this group. The same is true for patients with relapsing MS who have never received DMT or after their final discontinuation of treatment, where they may have been lost for regular follow-up. Another limitation is that we have not included MRI results. That information has only been systematically recorded in recent years. However, they are based on routine–structured–descriptions from different MRI departments. In future studies, we will be able to include MRI data. Because we only analysed men and women while they were treated with DMT, the question arises whether the sex differences could be attributed to differences in how men and women respond to DMT. A large study involving pooled data from five clinical studies of patients with CIS treated with intramuscular interferon β-1a. showed no sex differences in efficacy of the treatment.32 The increasing number of available drugs may also have affected men and women differently. The strength of the study is that it includes virtually all patients with MS in the whole country with onset since 1996 who have received DMT. In summary, women are more subject to the inflammatory component of MS, while men are more subject to the neurodegenerative component. For the inflammatory component, the sex difference disappears after the age of 50 years, indicating that the differences between younger men and women may, to some extent, be attributable to sex hormones, but further investigations of their role are needed.
  31 in total

1.  Early clinical predictors and progression of irreversible disability in multiple sclerosis: an amnesic process.

Authors:  Christian Confavreux; Sandra Vukusic; Patrice Adeleine
Journal:  Brain       Date:  2003-04       Impact factor: 13.501

2.  Why Sex Matters: A Cognitive Study of People With Multiple Sclerosis.

Authors:  Emily Donaldson; Viral P Patel; Prathiba Shammi; Anthony Feinstein
Journal:  Cogn Behav Neurol       Date:  2019-03       Impact factor: 1.600

3.  Gender-related differences in functional connectivity in multiple sclerosis.

Authors:  Menno M Schoonheim; Hanneke E Hulst; Doriana Landi; Olga Ciccarelli; Stefan D Roosendaal; Ernesto J Sanz-Arigita; Hugo Vrenken; Chris H Polman; Cornelis J Stam; Frederik Barkhof; Jeroen J G Geurts
Journal:  Mult Scler       Date:  2011-09-09       Impact factor: 6.312

4.  Gender effects on intramuscular interferon beta-1a in relapsing-remitting multiple sclerosis: analysis of 1406 patients.

Authors:  R A Rudick; L Kappos; R Kinkel; M Clanet; J T Phillips; R M Herndon; A W Sandrock; F E Munschauer
Journal:  Mult Scler       Date:  2010-10-21       Impact factor: 6.312

5.  Sex-specific disruption in corticospinal excitability and hemispheric (a)symmetry in multiple sclerosis.

Authors:  Arthur R Chaves; Hannah M Kenny; Nicholas J Snow; Ryan W Pretty; Michelle Ploughman
Journal:  Brain Res       Date:  2021-10-09       Impact factor: 3.252

6.  Gender as a prognostic factor and its impact on the incidence of multiple sclerosis in Lorraine, France.

Authors:  M Debouverie
Journal:  J Neurol Sci       Date:  2009-08-18       Impact factor: 3.181

Review 7.  Temporal trends in the incidence of multiple sclerosis: a systematic review.

Authors:  Alvaro Alonso; Miguel A Hernán
Journal:  Neurology       Date:  2008-07-08       Impact factor: 9.910

8.  Sex as a determinant of relapse incidence and progressive course of multiple sclerosis.

Authors:  Tomas Kalincik; Vino Vivek; Vilija Jokubaitis; Jeannette Lechner-Scott; Maria Trojano; Guillermo Izquierdo; Alessandra Lugaresi; Francois Grand'maison; Raymond Hupperts; Celia Oreja-Guevara; Roberto Bergamaschi; Gerardo Iuliano; Raed Alroughani; Vincent Van Pesch; Maria Pia Amato; Mark Slee; Freek Verheul; Ricardo Fernandez-Bolanos; Marcela Fiol; Daniele La Spitaleri; Edgardo Cristiano; Orla Gray; Jose Antonio Cabrera-Gomez; Vahid Shaygannejad; Joseph Herbert; Steve Vucic; Merilee Needham; Tatjana Petkovska-Boskova; Carmen-Adella Sirbu; Pierre Duquette; Marc Girard; Pierre Grammond; Cavit Boz; Giorgio Giuliani; Maria Edite Rio; Michael Barnett; Shlomo Flechter; Fraser Moore; Bhim Singhal; Elizabeth Alejandra Bacile; Maria Laura Saladino; Cameron Shaw; Eli Skromne; Dieter Poehlau; Norbert Vella; Timothy Spelman; Danny Liew; Trevor J Kilpatrick; Helmut Butzkueven
Journal:  Brain       Date:  2013-10-18       Impact factor: 13.501

Review 9.  Effects of Menopause in Women With Multiple Sclerosis: An Evidence-Based Review.

Authors:  Riley Bove; Annette Okai; Maria Houtchens; Birte Elias-Hamp; Alessandra Lugaresi; Kerstin Hellwig; Eva Kubala Havrdová
Journal:  Front Neurol       Date:  2021-03-19       Impact factor: 4.003

10.  Predicting gadolinium enhancement status in MS patients eligible for randomized clinical trials.

Authors:  F Barkhof; U Held; J H Simon; M Daumer; F Fazekas; M Filippi; J A Frank; L Kappos; D Li; S Menzler; D H Miller; J Petkau; J Wolinsky
Journal:  Neurology       Date:  2005-11-08       Impact factor: 9.910

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Authors:  Yinqing Wang; Yongjie Ma; Chengbin Yang; Hongqi Zhang; Xiahe Huang; Kun Yang; Fei Lan; Jingxuan Fu; Zihao Song; An Tian; Yueshan Feng; Tianqi Tu; Haifeng Li; Tao Hong; Yingchun Wang
Journal:  J Neuroinflammation       Date:  2022-06-22       Impact factor: 9.587

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