Skip to content
ALL Metrics
-
Views
7
Downloads
Get PDF
Get XML
Cite
Export
Track
▬
✚
Systematic Review

The collection, classification, and reporting of adverse events in Multiple Sclerosis rehabilitation randomised trials: A systematic review short report

[version 1; peer review: awaiting peer review]
PUBLISHED 21 Oct 2026
Author details Author details
OPEN PEER REVIEW
REVIEWER STATUS AWAITING PEER REVIEW

Abstract

Background

Safety is a critical component of evaluating Multiple Sclerosis (MS) rehabilitation interventions. No previous review has examined how AE data are collected, classified, and reported in MS rehabilitation trials. This systematic review aimed to address this gap.

Methods

Fifteen databases, trial registries, and grey literature sources were searched in January 2025. Eligible sources were randomised controlled trials (RCTs), feasibility/pilot RCTs, associated protocols or registrations of MS rehabilitation trials, published between 2022–2025. Two reviewers independently screened records and extracted qualitative methods data on AE collection, classification, and reporting for narrative syntheses.

Results

53 unique studies were included. Nineteen (36%) mentioned AEs but did not report methodological detail. Among the 34 (64%) that did, reporting was inconsistent and often incomplete.

Collection

Thirty studies (57%) described at least one AE collection method. Eleven approaches were identified, most commonly telephone follow-up, but few specified whether methods were open/closed, prompted/passive, or prospective/retrospective. Only two used a recognised collection framework.

Classification

AE coding methods were rarely described. Three studies (6%) reported their causality assessment method; 7 (13%) their severity assessment method.

Reporting

Terminology varied widely (17 terms) and most studies (n = 45, 85%) did not define the terms used. Only 13 (25%) reported AEs by trial group. Few described statistical methods for AE analysis (n = 6, 11%).

Conclusions

Substantial variation and frequent omissions were identified in the reporting of AE methods in contemporary MS rehabilitation RCTs. Improved standardisation, informed by CONSORT Harms 2022 and updated CONSORT/SPIRIT 2025 guidelines, is required to ensure transparent and reliable safety assessment.

Registration

The protocol for this review was registered with Open Science Framework.1

Highlights

  • •

    A systematic review examining adverse event (AE) methodology in MS rehabilitation trials

  • •

    AE methodology was variably described

  • •

    Classification, causality and severity of AEs were rarely reported

  • •

    Inconsistent use of terminology for AES; many studies lacked definitions

  • •

    There is a need to improve safety reporting in MS rehabilitation research.

Plain Language Summary

Multiple Sclerosis (MS) is a progressive neurological condition affecting the brain and spinal cord. MS can lead to a variety of symptoms such as fatigue, movement difficulties, and changes in thinking. Many people with MS receive rehabilitation to help manage their symptoms, regain or prevent a loss of function, and improve their quality of life.

Rehabilitation interventions are tested through rehabilitation trials, to see if they are safe and effective. To do this, we monitor for ‘Adverse Events’, which are any unwanted or unexpected problems that may happen during a trial (similar to side effects). This is important so that we can understand both the benefits and risks of an intervention.

This systematic review is part of a PhD project finding out how we can best collect and report adverse event data in MS rehabilitation trials. This involved a thorough search of recent MS rehabilitation trials, and then carefully checking and combining the evidence from them, to find out what the overall evidence says.

This showed the published reports of rehabilitation trials often did not clearly explain how information on adverse events was collected or assessed. When more detailed information was available, it showed that different trials sometimes used very different methods to study the adverse events. This makes it difficult to compare results across trials and understand the overall safety of the interventions.

This review also identified practical suggestions from the trial authors themselves about how these methods could be improved. Overall, this review concluded that the way adverse event information is collected and reported needs improvement, to make it more consistent, reliable, and easier to compare across clinical trials.

By highlighting these gaps, we are finding out how future trials can assess safety more reliably, and support better decision-making for people with MS.

Keywords

Adverse events, Safety monitoring, Systematic Review, Multiple Sclerosis, Rehabilitation, Trial methodology, Randomised Controlled Trials

1. Introduction

Multiple Sclerosis (MS) affects an estimated 2.8 million people worldwide and is associated with a broad spectrum of physical, cognitive, and psychosocial impairments.2,3 Rehabilitation forms a central component of MS management and is supported by evidence demonstrating benefits for mobility, activity levels, cognition, and quality of life.4 As rehabilitation interventions increase and diversify, the need for rigorous evaluation of both their effectiveness and safety has become increasingly important. High quality randomised controlled trials (RCTs) are essential to ensure that rehabilitation practice is grounded in robust evidence.5,6 Safety assessment relies on the systematic collection, classification, and reporting of adverse events (AEs). However, research in non-pharmacological trials demonstrates that AE methodologies are often insufficiently detailed or inconsistently applied. Updated guidance, including CONSORT Harms,7 and the 2025 CONSORT/SPIRIT revisions,8 emphasise the need for transparency in harms reporting. Yet rehabilitation trials in MS face unique methodological challenges, including fluctuating symptoms, cognitive variability, and complex multi-component interventions. No previous review has investigated AE methodology specifically within MS rehabilitation RCTs. This systematic review aimed to address this gap.

2. Methods

2.1 Patient and public involvement

Two people with MS (pwMS) provided insights and guidance on our review aims, objectives, and questions. Both PPI members made suggestions for disseminating research findings into MS communities, and examples of how future reviews could involve pwMS as members of the research team.

2.2 Systematic review methods

This systematic review followed PRISMA 2020 guidance9 and was prospectively registered on the Open Science Framework.1 Eligible studies included RCTs, feasibility or pilot RCTs, and their associated protocols or registration records involving adults with MS. Interventions were required to align with the Cochrane Rehabilitation definition, indicating active participation in a therapeutic process.10 Publications were limited to 1 January 2022–16 January 2025 to reflect alignment with emerging AE reporting standards. Fifteen databases, trial registries, and grey literature platforms were searched 16th January 2025 using an information specialist supported search strategy. After deduplication, two reviewers independently screened titles, abstracts, and full texts, resolving disagreements through discussion with a third reviewer. Non-English papers were translated where necessary. Where more than one record was identified (e.g. trial registration, protocol and results paper), the data was collated into a single unique study record. In line with recent AE reporting guidance7,8 items for data extraction focused on AE collection (approach, mode, personnel, timing, frameworks), classification (coding, causality, severity), and reporting (terminology, definitions, counts, group comparisons, statistical methods, display methods). Additional descriptive study characteristics were extracted to aid contextual interpretation of the included studies. A narrative synthesis was conducted. Meta analysis was not appropriate due to the qualitative nature of extracted data.

3. Results

3.1 Study selection and characteristics

From 1224 records identified, 1029 were screened at title/abstract stage and 151 at full text. Fifty three unique studies met the inclusion criteria (See Figure 1, and Supplementary File for full reference list).

c1d85455-2a78-4e40-96ca-b58ea00fc529_figure1.gif

Figure 1. PRISMA flow diagram.

These studies represented at least 16 countries and involved a total of 4,903 participants of varying MS phenotypes (relapse remitting and progressive), ages (range of mean 27–62 years), and disability levels (range of mean Expanded Disability Status Scale scores 2.3 to 6.4). Interventions spanned multiple rehabilitation domains, including physical activity/exercise, virtual reality, behavioural change, psychological therapies, cognitive rehabilitation, hippotherapy and voice rehabilitation (See Supplementary File Table 1, with referencing of relevant studies).

3.2 Adverse event methodology

3.2.1 Collection of AEs (See Supplementary File Table 2, with referencing of relevant studies)

Across the 53 studies, reporting of AE collection was limited and varied considerably. Of the 24 (45%) studies describing their method for AE data collection, 11 different modes of AE data capture were identified—ranging from telephone calls, in person assessments, and diaries, to email, video consultations, and online platforms. These methods were described inconsistently. Only seven (13%) studies specified whether they used an open or closed approach to collecting AEs, and the majority provided no indication of the rationale that guided their choice of method(s). This lack of clarity made it difficult to determine whether AE data were gathered systematically or whether methods were appropriate to the characteristics of rehabilitation interventions.

Responsibility for collecting AE data also varied. Four (8%) studies relied primarily on participant -self-report, while seven (13%) used a shared approach between participants and study personnel. Many papers did not indicate who held primary responsibility, leaving uncertainty about the reliability of AE ascertainment, particularly in a population where fluctuating MS symptoms and cognitive challenges may affect recall. Timing of AE capture was similarly under-reported. A minority of studies specified whether AEs were documented at the point of occurrence or retrospectively (n = 14, 26%), with a mixed approach most often used (n = 7, 13%); for most studies, this information was absent. Only 2 (4%) studies referenced the use of structured AE collection frameworks, such as the Food and Drug Administration (FDA) FDA Adverse Event Reporting System (FAERS) or institutional harms policies. Of the 40 studies that included a follow-up- period, only five (9%) explicitly stated that AE monitoring would be continued during those follow-up phases.

3.2.2 Classification of AEs (See Supplementary File Table 3, with referencing of relevant studies)

Classification of AEs was reported infrequently; only one (2%) study used a recognised coding framework (Common Terminology Criteria for Adverse Events), with seven (13%) others using a study-specific approach to their classification. Structured approaches to causality assessment were uncommon, appearing in only three (6%) studies; typically drawing on internal institutional checklists, the National Institute of Health (NIH) scheme, or semi structured qualitative judgement. Severity assessments were similarly inconsistent, with only seven (13%) studies reporting methods for investigating the severity of AEs. Of these, some studies referenced institutional criteria, or bespoke rating scales, while others used descriptive categories such as “minor” or “resolved” without clear methodological grounding. These inconsistent and often absent classification procedures limit the interpretability and comparability of AE findings across MS rehabilitation randomised trials.

3.2.3 Reporting of AEs (See Supplementary File Table 4, with referencing of relevant studies)

The reporting of AEs demonstrated substantial variability. Across the included studies, 17 different terms were used to refer to adverse events, and most studies (n = 45, 85%) did not provide a definition of the term used. “Adverse event” was the most frequently used term (by 41 studies, 77%); 22 studies (42%) applied multiple terms interchangeably when referring to AEs. The lack of definitional clarity created ambiguity regarding how study teams conceptualised and categorised safety related information.

Only a minority of studies reported individual AE counts (n = 8, 15%), wherein the specific instances of AEs are recorded and reported. Separate reporting for intervention and control groups was undertaken by only 13 (25%) studies making it difficult to interpret any potential between group differences in safety outcomes. Statistical analysis methods were described explicitly by only a few studies, with most relying implicitly on descriptive summaries without specifying how these were generated. Only three studies (6%) provided tabular or graphical summaries of the collected AE data. No studies presented time to event data (the length of time from a defined start point, such as treatment initiation), duration of AEs, or AE selection rules wherein criteria are used to determine which unfavourable, unintended, or harmful consequences will be reported. No study provided a lay summary of either the trial results or the AEs.

3.3 Limitations and suggestions identified by trialists

Only three studies (6%) explicitly reflected on limitations in their AE methodology. Two (4%) highlighted restricted AE collection windows, one including an inability to capture events occurring outside scheduled contact periods.11,12 One (2%) reported not including a data safety monitoring board.13,14 Suggested improvements included incorporating remote or outside of session AE collection methods,11 extending monitoring periods,12 and integrating qualitative enquiry to capture contextual information around adverse experiences.11 These reflections underline the need for more comprehensive AE methodology in MS rehabilitation trials.

4. Discussion

This review demonstrates that current AE methodology in MS rehabilitation RCTs is fragmented, inconsistently reported, and frequently insufficient. Key components of AE collection—such as approach, timing, mode, and responsible personnel—were rarely described in any detail. AE classification practices, including causality and severity assessment, were limited, and reporting was marked by inconsistent terminology, limited quantitative summaries, and minimal use of structured analyses. These findings highlight the extent to which recent MS rehabilitation randomised trials fall short of contemporary harms reporting guidance, including CONSORT Harms7 and the updated CONSORT/SPIRIT recommendations.8 Given the variability of MS symptoms and the cognitive challenges faced by many participants, reliance on retrospective self-report or non-systematic methods may lead to underreporting or misclassification of AEs. More structured, transparent, and participant appropriate approaches to AE methodology are needed. A systematic adoption of established frameworks, clear terminology, defined classification processes, and robust reporting practices would substantially strengthen safety evaluation in MS rehabilitation trials.

5. Conclusion

Across contemporary MS rehabilitation RCTs, the collection, classification, and reporting of AEs were inconsistently described and frequently lacked essential methodological detail. Standardised, transparent AE methodology—aligned with CONSORT Harms 2022 and CONSORT/SPIRIT 2025—is needed to support rigorous safety evaluation, improve interpretability, and strengthen the methodological quality of MS rehabilitation trials.

Declaration of generative AI and AI-assisted technologies in the manuscript preparation process.

During the preparation of this work the author(s) used Microsoft CoPilot (Wave 3) to condense text, proofread and grammar check. After using this tool, the author(s) reviewed and edited the content as needed and take full responsibility for the content of the published article.

Comments on this article Comments (0)

Version 1
VERSION 1 PUBLISHED 21 Oct 2026
Comment
Author details Author details
Competing interests
Grant information
Copyright
Download
 
Export To
metrics
VIEWS
53
 
downloads
7
Citations
CITE
how to cite this article
Carey L, Dennett R, Hosking J et al. The collection, classification, and reporting of adverse events in Multiple Sclerosis rehabilitation randomised trials: A systematic review short report [version 1; peer review: awaiting peer review]. NIHR Open Res 2026, 6:162 (https://doi.org/10.3310/nihropenres.14419.1)
NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article.
track
receive updates on this article
Track an article to receive email alerts on any updates to this article.

Open Peer Review

Current Reviewer Status:
AWAITING PEER REVIEW
AWAITING PEER REVIEW
?
Key to Reviewer Statuses VIEW
ApprovedThe paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approvedFundamental flaws in the paper seriously undermine the findings and conclusions

Comments on this article Comments (0)

Version 1
VERSION 1 PUBLISHED 21 Oct 2026
Comment
Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions

Are you an NIHR-funded researcher?

If you are a previous or current NIHR award holder, sign up for information about developments, publishing and publications from NIHR Open Research.

You must provide your first name
You must provide your last name
You must provide a valid email address
You must provide an institution.

Thank you!

We'll keep you updated on any major new updates to NIHR Open Research

Sign In
If you've forgotten your password, please enter your email address below and we'll send you instructions on how to reset your password.

The email address should be the one you originally registered with F1000.

Email address not valid, please try again

You registered with F1000 via Google, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Google account password, please click here.

You registered with F1000 via Facebook, so we cannot reset your password.

To sign in, please click here.

If you still need help with your Facebook account password, please click here.

Code not correct, please try again
Email us for further assistance.
Server error, please try again.