Evidence map›Paper›PMID 41193203›Full record

ArticleBMJ open2025

Exploring the evidence for the use of protein biomarkers of muscular damage and disease progression in Duchenne and Becker muscular dystrophy: a systematic review and meta-analysis protocol.

Stefania Mondello, Amelia McGill, Ange Lu, Pietro Spitali, Alan J Russell, Ramona Belfiore-Oshan, Paige B Martin, Duchenne Regulatory Science Consortium

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Stefania MondelloUniversity of Messina, Messina, Italy.ORCID http://orcid.org/0000-0002-8587-3614
Amelia McGillCritical Path Institute, Tucson, Arizona, USA.
Ange LuCritical Path Institute, Tucson, Arizona, USA.
Pietro SpitaliLeiden University Medical Center, Leiden, Zuid Holland, Netherlands.ORCID http://orcid.org/0000-0003-2783-688X
Alan J RussellEdgewise Therapeutics, Boulder, Colorado, USA.
Ramona Belfiore-OshanCritical Path Institute, Tucson, Arizona, USA.
Paige B MartinCritical Path Institute, Tucson, Arizona, USA pmartin@c-path.org.ORCID http://orcid.org/0009-0001-7818-6584
Duchenne Regulatory Science Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDuchenne and Becker muscular dystrophies (DMD and BMD) are devastating conditions characterised by progressive muscle degeneration and weakness. Despite advances in understanding their pathogenetic processes, there is a critical need for reliable biomarkers to aid in patient stratification and inform clinical decision-making, predict disease progression and evaluate therapeutic responses. Several promising protein biomarkers have been investigated as potential diagnostic/prognostic tools, but, to date, this evidence has not been systematically synthesised. We aim to comprehensively and critically review and summarise published studies reporting the use of protein signatures of muscular damage in DMD and BMD. METHODS AND ANALYSIS: We will systematically search Ovid MEDLINE (PubMed), OVID Embase, OVID Evidence-Based Medicine Reviews and Cochrane Library to retrieve all relevant articles. For ongoing trials, we will search WHO International clinical trials registry and ClinicalTrials.gov registry. We will include studies that measure circulating and urine levels of established and/or promising protein biomarkers associated with skeletal muscular damage and disease progression, such as creatine kinase, myoglobin, skeletal troponin I fast-twitch (type II), myostatin, creatine/creatinine ratio, creatinine and titin. We will consider randomised controlled trials, observational studies and longitudinal cohort studies with serial sampling, without restrictions on sample size, geographic location or language, while excluding animal and in vitro studies. Two independent reviewers will screen articles for inclusion using predefined eligibility criteria and extract data of retained articles. A third author will be consulted in case of disagreement. The approach recommended by the Agency for Healthcare Research and Quality's Methods Guide for Effectiveness and Comparative Effectiveness Reviews will be used. The risk of bias and reporting quality will be assessed with standardised scales. The analysis will involve a structured narrative synthesis and evidentiary tables. If a meta-analysis is possible, biomarker data for each outcome will be pooled using random effects models. Subgroup analyses have been planned as a function of age, genetic mutation, disease severity, imaging and clinical assessment, length of the observation and risk of bias. ETHICS AND DISSEMINATION: Ethics approval is not required for this study as no original data will be collected. The findings will be shared through peer-reviewed publications and conference presentations. Additionally, this systematic review will guide the recommendations of the Duchenne Regulatory Science Consortium. This work will provide a rigorous, exhaustive and accessible evidence synthesis to identify candidate biomarkers of potential clinical value. Furthermore, it is expected that these results could be used to facilitate the development of future research strategies and guidelines, inform resource allocation decisions and accelerate the route towards clinical implementation of biomarkers for DMD and BMD. PROSPERO REGISTRATION NUMBER: CRD42024549471. Available from:

Indexed as

BiomarkersMuscle, SkeletalMuscular Dystrophy, DuchenneDisease ProgressionHumansMeta-Analysis as TopicResearch DesignSystematic Reviews as TopicBiomarkersMeta-AnalysisNeuromuscular diseaseSystematic Review

Identifiers

PMID41193203
PMCPMC12587975

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.