ArticleNeurology2020
Association of social network structure and physical function in patients with multiple sclerosis.
Article in Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Personal Social Network Analysis in Cerebellar Ataxia: Exploring Correlations with Quality of Life and Functional Outcomes.Cerebellum (London, England) · 2026Article
- Promoting Exercise as a Therapeutic Intervention in Multiple Sclerosis: Barriers, Efficacy, and Social Prescribing Strategies.Cardiology and cardiovascular medicine · 2026Article
- Aging-dependent change in Th17 and cytokine response in multiple sclerosis.Journal of neuroinflammation · 2025Article
- Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation.Journal of medical Internet research · 2025Article
- Genetic influences on motor learning and performance and superperforming mutants revealed by random mutational survey of the mouse genome.The Journal of physiology · 2024Article
- A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care.JMIR formative research · 2024Article
- Impact of the COVID-19 Pandemic on the Personal Networks and Neurological Outcomes of People With Multiple Sclerosis: Cross-Sectional and Longitudinal Case-Control Study.JMIR public health and surveillance · 2024Article
- Impact of resilience, social support, and personality traits in patients with neuroinflammatory diseases during the COVID-19 pandemic.Multiple sclerosis and related disorders · 2022Article
- The impact of socioeconomic status on subsequent neurological outcomes in multiple sclerosis.Multiple sclerosis and related disorders · 2022Article
- Predicting Multiple Sclerosis Outcomes During the COVID-19 Stay-at-home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping.JMIR mental health · 2022Article
- Leveraging Social Networks for the Assessment and Management of Neurological Patients.Seminars in neurology · 2022Review
- Association of personality traits with physical function, cognition, and mood in multiple sclerosis.Multiple sclerosis and related disorders · 2022Article
- Making Clinical Data Acquisition Standards Harmonization (CDASH) Electronic Case Report Forms Available on the REDCap Shared Data Instrument Library.Journal of the Society for Clinical Data Management · 2022Article
- Physical Activity during Weekdays and Weekends in Persons with Multiple Sclerosis.Sensors (Basel, Switzerland) · 2021Article
- Online Peer Support for People With Multiple Sclerosis: A Narrative Synthesis Systematic Review.International journal of MS careArticle
Corrections and comments
- Commented on by
Authors and funding
16 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveTo test the association between physical function and the social environment in multiple sclerosis (MS), we quantified personal social networks.
methodsIn this cross-sectional study, we analyzed data from 2 academic MS centers, with center 1 serving as a discovery group and center 2 as the extension group. We performed a meta-analysis of the centers to extend the analysis. We used responses from a questionnaire to map the structure and health habits of participants' social networks as well as the NIH Patient-Reported Outcomes Measurement Information System (PROMIS) physical function scale (0-100, mean 50 for US general population) as the primary outcome. We applied multivariable models to test the association between network metrics and physical function.
resultsThe discovery cohort included 263 patients with MS: 81% were women, 96% non-Hispanic European, 78% had relapsing MS, average age was 50 (12.4) years, and mean disease duration was 17 (12.3) years. The extension group included 163 patients, who were younger, more racially diverse, and less physically disabled, and had shorter disease duration. In the meta-analysis, higher network constraint, a measure of tightly bound networks, was associated with worse physical function (β = -0.163 ± 0.047,
conclusionsOur study highlights personal networks as an important environmental factor associated with physical function in MS. Patients with close-knit networks had worse function than those with more open networks. Longitudinal studies are warranted to evaluate a causal relationship between network structure and physical impairment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.