Evidence map›Paper›PMID 37480738›Full record

ArticleMultiple sclerosis and related disorders2023

Influence of menstrual cycle and hormonal contraceptive use on MS symptom fluctuations: A pilot study.

Helga Taylor, Saleh Alhasan, Maha Saleem, Shane Poole, Fei Jiang, Erin E Longbrake, Riley Bove

Open access · hybridAbstract read
In one paragraph

Article in Multiple sclerosis and related disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Impact of sex on multiple sclerosis therapy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  3. Hormonal Therapies in Multiple Sclerosis: a Review of Clinical Data.Current neurology and neuroscience reports · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Helga TaylorUCSF Weill Institute for the Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, United States.
Saleh AlhasanYale University School of Medicine, Department of Neurology, New Haven, CT, United States.
Maha SaleemYale University School of Medicine, Department of Neurology, New Haven, CT, United States.
Shane PooleUCSF Weill Institute for the Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, United States.
Fei JiangSchool of Medicine, Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.
Erin E LongbrakeYale University School of Medicine, Department of Neurology, New Haven, CT, United States.
Riley BoveUCSF Weill Institute for the Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, United States. Electronic address: Riley.bove@ucsf.edu.
University of California, San Francisco · USYale University · US

Funding

Interactions between Gut Microbiome and B-Cell Depletion in Multiple SclerosisK23NS107624 · NINDS · YALE UNIVERSITY · PI LONGBRAKE, ERIN · 2019 to 2023
$980k
NINDS NIH HHS K23 NS107624
6 · The paper itself

Abstract

backgroundIn clinical practice, females with MS often report menstrually-related symptom fluctuations. Hypothetically, use of oral contraceptives (OCs) could reduce these fluctuations, particularly continuous OCs (11+ weeks of consistent exogenous hormones followed by 1 week placebo).

objectivesTo prospectively capture (1) whether neurologic and generalized symptoms vary with menstrual cycle phase and (2) whether type of contraception impacts symptom fluctuations.

methodsIn this two-center pilot study, females with MS and a regular menstrual cycle prospectively tracked their menstrual cycles and completed symptom surveys for up to 6 months. Participants were categorized as 1) users of oral contraceptives, either a) cyclic or b) continuous, or 2) endogenously cycling, either c) hormonal intrauterine device (IUD) users or d) "none users" (e.g. no hormonal contraception; included condoms, copper IUD, tubal ligation, "fertility awareness methods"). There was no correction for multiple analyses.

resultsAltogether, 47/70 participants (67%) provided >4 weeks of data and were included in the analyses. Mean (SD) age was 35.0 (0.9) years, median (IQR) EDSS was 1.5 (1-2) and mean (SD) SymptoMScreen score was 10.4 (9.6). For endogenously cycling patients (IUD and none users), fatigue (MFIS) was lower in the perimenstrual period than in the luteal period (p < 0.05). For continuous OC users, variability in symptoms was lower than for endogenously cycling females (MFIS: p < 0.01; Daily Hassles, from Uplift & Hassles Survey: p < 0.05) or cyclic OC users (MFIS: p < 0.001).

conclusionsIn this pilot study, symptom severity did not definitively fluctuate in relationship to the menstrual cycle in endogenously cycling participants. However, fatigue and daily hassles were less variable for participants using continuous OC than for cyclic OC users or no-OC users. Future confirmatory studies are warranted to further examine whether contraceptive choice can be leveraged to manage symptom fluctuation in cycling females with MS. Such studies could enroll larger cohorts over fewer cycles or employ incentivization and hormonal measurements to enhance participant retention and statistical power.

Indexed as

ContraceptionContraceptives, OralAdultFatigueFemaleHumansMenstrual CyclePilot ProjectsContraceptives, OralContraceptionEstrogenHormoneMenstrual cycleMultiple sclerosisSymptom

Identifiers

PMID37480738
PMCPMC11090415
OpenAlexW4382751289

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.