Musculoskeletal Research Research Articles

Identifying and analyzing variables in musculoskeletal healthcare research

This review intends to help the students and researchers to organize, write, and analyze to make a quality research paper and to know the importance of variables in healthcare clinicians/researchers. Variables are fundamental components of the research question, serving as properties that distinguish members of groups or sets. They explain the different aspects of the sample that is under study. Variables are capable of having multiple values. Variables vary from subject to subject in the sample. A variable is a fundamental concept in research, representing a concept, image, or perception that can take different measurable values. Research design (RD) involves comparing independent groups or conditions, exploring predictive relationships, experimental studies for causal links, and comparative studies with multiple independent variables (IVs) or dependent variables (DVs). Variables play a crucial role in research and are broadly classified into causal relationships, study design, and units of measurement. IV is predictors that influence outcomes known as DV. Extraneous variables are unrelated but impactful. Moderating variables alter the relationship between IV and DV. Intervening variables or confounding variables (CVs) can complicate the cause-and-effect relationships. Active variables are manipulated, while attribute variables, inherent traits such as age, cannot be controlled. Even tests are based on variables. This review provides a comprehensive guide for students and young researchers to understand the role of variables and RD in conducting quality research papers, emphasizing the importance of operationalizing variables, controlling for CVs, and selecting appropriate RDs.

Strengthening the pain care ecosystem to support equitable, person-centered, high-value musculoskeletal pain care

Abstract Improving health and wellbeing outcomes for people experiencing chronic musculoskeletal pain requires collective efforts across multiple levels of a healthcare ecosystem. System-wide barriers to care equity must however be addressed (eg, lack of co-designed services; overuse of low value care/underuse of high value care; inadequate health workforce; inappropriate funding models; inequitable access to medicines and technologies; inadequate research and innovation). In this narrative review, utilizing a systems’ thinking framework, we synthesize novel insights on chronic musculoskeletal pain research contextualized through the lens of this complex, interconnected system, the “pain care ecosystem.” We examine the application of systems strengthening research to build capacity across this ecosystem to support equitable person-centred care and healthy ageing across the lifespan. This dynamic ecosystem is characterized by three interconnected levels. At its centre is the person experiencing chronic musculoskeletal pain (micro-level). This level is connected with health services and health workforce operating to co-design and deliver person-centred care (meso-level), underpinned further upstream by contemporary health and social care systems (macro-level context). We provide emerging evidence for how we, and others, are working towards building ecosystem resilience to support quality musculoskeletal pain care: at the macro-level (eg, informing musculoskeletal policy and health strategy priorities); at the meso-level (eg, service co-design across care settings; health workforce capacity); and downstream, at the micro-level (eg, person-centred care). We outline the mechanisms and methodologies utilized and explain the outcomes, insights and impact of this research, supported by real world examples extending from Australian to global settings.

Building and Sustaining Public Trust in Health Data Sharing for Musculoskeletal Research: Semistructured Interview and Focus Group Study.

Although many people are supportive of their deidentified health care data being used for research, concerns about privacy, safety, and security of health care data remain. There is low awareness about how data are used for research and related governance. Transparency about how health data are used for research is crucial for building public trust. One proposed solution is to ensure that affected communities are notified, particularly marginalized communities where there has previously been a lack of engagement and mistrust. This study aims to explore patient and public perspectives on the use of deidentified data from electronic health records for musculoskeletal research and to explore ways to build and sustain public trust in health data sharing for a research program (known as "the Data Jigsaw") piloting new ways of using and analyzing electronic health data. Views and perspectives about how best to engage with local communities informed the development of a public notification campaign about the research. Qualitative methods data were generated from 20 semistructured interviews and 8 focus groups, comprising 48 participants in total with musculoskeletal conditions or symptoms, including 3 carers. A presentation about the use of health data for research and examples from the specific research projects within the program were used to trigger discussion. We worked in partnership with a patient and public involvement group throughout the research and cofacilitated wider community engagement. Respondents were supportive of their health care data being shared for research purposes, but there was low awareness about how electronic health records are used for research. Security and governance concerns about data sharing were noted, including collaborations with external companies and accessing social care records. Project examples from the Data Jigsaw program were viewed positively after respondents knew more about how their data were being used to improve patient care. A range of different methods to build and sustain trust were deemed necessary by participants. Information was requested about: data management; individuals with access to the data (including any collaboration with external companies); the National Health Service's national data opt-out; and research outcomes. It was considered important to enable in-person dialogue with affected communities in addition to other forms of information. The findings have emphasized the need for transparency and awareness about health data sharing for research, and the value of tailoring this to reflect current and local research where residents might feel more invested in the focus of research and the use of local records. Thus, the provision for targeted information within affected communities with accessible messages and community-based dialogue could help to build and sustain public trust. These findings can also be extrapolated to other conditions beyond musculoskeletal conditions, making the findings relevant to a much wider community.

Strategic Approaches in Generation of Robust Microphysiological 3D Musculoskeletal Tissue System

AbstractSkeletal muscle plays a vital role in maintaining the body's shape and regulating various physiological processes. Its function is influenced by a multitude of factors. Given the lack of uniformity in prior research regarding the size and placement of structural pillars within the chip, as well as the choice of cell‐laden hydrogel components with various densities of extracellular matrix, in different gelation times, and cell densities, a meticulous investigation is conducted to enhance the robustness of 3D in vitro musculoskeletal tissues. This study provides guidance on how to optimize the design parameters of skeletal muscle‐on‐a‐chip and hydrogel recipe by evaluating the impact of design elements and hydrogel fabrication conditions on tissue formation and musculoskeletal differentiation. This research reports the direct evidence of mechanical properties of hydrogels are critical in influencing cellular differentiation and tissue functionality through the process of mechanotransduction. The study highlights the importance of standardizing experimental conditions in 3D in vitro musculoskeletal research, and presents a validated framework as a foundation to aid in the development of functional musculoskeletal tissue for clinical and research applications, including disease modeling and regenerative therapies.

Randomized Controlled Trials Studying Nonoperative Treatments of Osteoarthritis Often Use Misleading and Uninformative Control Groups: A Systematic Review.

Because there are no known treatments that alter the natural course of the pathophysiology of osteoarthritis, nonoperative treatment needs to be compared with known effective treatments that seek to mitigate symptoms or with similarly invasive inert (placebo) treatments to determine effectiveness. Comparing a treatment to an uninformative control group may inappropriately legitimize and support the use of potentially ineffective treatments. We therefore investigated the prevalence of inappropriate control groups in musculoskeletal research and asked whether these are associated with reporting a positive treatment effect. We systematically reviewed randomized trials of nonoperative treatments of osteoarthritis and asked: (1) What proportion of randomized trials use uninformative control groups (defined as a treatment less invasive than the tested treatment, or a treatment that might possibly not outperform placebo but is not acknowledged as such)? (2) Is the use of uninformative control groups independently associated with reporting a positive treatment effect (defined as p < 0.05 in favor of the intervention, or as making a recommendation favoring the intervention over the control treatment)? In a systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched PubMed, Cochrane, and Embase up to September 2023 for randomized controlled trials published between 2020 to 2022 that compared one or more nonoperative treatments for the symptoms of osteoarthritis. We excluded studies that contained a surgical treatment group. We identified 103 trials that met eligibility criteria, with a total of 15,491 patients. The risk of bias was high in 60% (n = 62) of trials using the Cochrane Risk of Bias Tool, version 2. Although the high risk of bias in the included studies is concerning, it does not invalidate our design; instead, it highlights that some studies may use flawed methods to recommend treatments with unproven effectiveness beyond nonspecific effects because the kinds of bias observed would tend to increase the apparent benefit of the treatment(s) being evaluated. We used logistic regression to test the association of uninformative control groups with a positive treatment effect, accounting for potential confounders such as conflict of interest and study bias using the Cochrane Risk of Bias score. The use of uninformative control groups (treatments less invasive than the tested treatment, or treatments that might not outperform placebo but are not acknowledged as such) was found in 46% (47 of 103) of included studies. After accounting for potential confounding, there was no association between reporting positive treatment effects and the use of an uninformative control group. Studies with a low risk of bias had a lower likelihood of reporting a positive treatment effect (OR 0.2 [95% confidence interval 0.05 to 0.9]; p = 0.04, model pseudo R2 = 0.21). The finding that recent studies that mimic high-level evidence often use uninformative control groups that do not adequately account for nonspecific effects (perceived treatment benefits unrelated to a treatment's direct physiological effects) points to a high risk of legitimizing ineffective treatments. This raises the ethical imperative for patients, clinicians, journal peer reviewers, and journal editors to hold researchers to the standard of an adequate, informative control group. Awareness and risk of bias checklists might help patients and clinicians forgo new treatments based on seemingly high-level evidence that may carry only iatrogenic, financial, and psychological harm (false hope, in particular). Level I, therapeutic study.

Interrater Reliability and Precision of a Novel Hand Strength Assessment and Treatment Device: The GripAble.

Occupational therapy practitioners need modern tools for the assessment of maximal grip strength in clinical and remote settings. To establish the (1) interrater reliability and (2) precision of the GripAble among three raters with different expertise in occupational therapy when testing healthy participants, and to (3) evaluate the relative reliabilities of different approaches to estimating grip strength (i.e., one trial, mean of two trials, and the mean of three trials). Measurement study. Minnesota Translational Musculoskeletal and Occupational Performance Research Lab, University of Minnesota, Minneapolis. Thirty volunteers, age ≥18 yr, without any hand problems. Using GripAble, three occupational therapy raters with varied experience measured the maximal grip strength of the dominant and nondominant hands of all participants. Using the mean of three trials when testing grip strength with GripAble adds precision. GripAble has excellent interrater reliability (i.e., intraclass correlation coefficient > .75) and acceptable precision (minimal detectable change < 15%) among healthy adults. GripAble allows occupational therapy practitioners with different experiences to assess grip strength in healthy hands quickly, precisely, and with excellent reliability. Additional research is needed on its psychometrics in clinical populations and capacities in remote monitoring and exergaming. Plain-Language Summary: The results of this study show that grip strength, an important biomarker and commonly assessed construct in occupational therapy, can be evaluated reliably, precisely, and rapidly with GripAble. The use of GripAble by occupational therapy practitioners in clinical settings may help to build an infrastructure for remote measurements and exergaming interventions in the future.

Quantitative Cartilage T2 and T1rho Mapping: Is There a Clinical Role? From the AJR Special Series on Quantitative Imaging.

Despite more than 20 years of development, the MRI-based cartilage compositional biomarkers T2 and T1rho have not been routinely applied in clinical practice. This review examines these measures' historical development and frames the challenges in the application of these quantitative imaging tools to the care of patients with cartilage injury and osteoarthritis using the hierarchical model of efficacy proposed by Fryback and Thornbury. T2 and T1rho have been validated for the evaluation of early compositional and structural changes in cartilage extracellular matrix. Yet, these biomarkers lack direct correlation with pain or function loss, lack standardization of methods for acquisition and analysis, and have a limited role in guiding therapeutic management given the absence of effective disease-modifying osteoarthritis drugs. These issues present significant challenges in the path to the biomarkers' future implementation in clinical care. Nonetheless, these MRI-based cartilage compositional biomarkers provide an essential tool for musculoskeletal research and can provide important information on the biophysical properties of cartilage that will continue to contribute to our understanding of cartilage injury and osteoarthritis pathogenesis.

Geometric accuracy of low-dose CT scans for use in shoulder musculoskeletal research applications

Computed tomography (CT) imaging is frequently employed in a variety of musculoskeletal research applications. Although research studies often use imaging protocols developed for clinical applications, lower dose protocols are likely possible when the goal is to reconstruct 3D bone models. Our purpose was to describe the dose-accuracy trade-off between incrementally lower-dose CT scans and the geometric reconstruction accuracy of the humerus, scapula, and clavicle. Six shoulder specimens were acquired and scanned using 5 helical CT protocols: 1) 120 kVp, 450 mA (full-dose); 2) 120 kVp, 120 mA; 3) 120 kVp, 100 mA; 4) 100 kVp, 100 mA; 5) 80 kVp, 80 mA. Scans were segmented and reconstructed into 3D surface meshes. Geometric error was assessed by comparing the surfaces of the low-dose meshes to the full-dose (gold standard) mesh and was described using mean absolute error, bias, precision, and worst-case error. All low-dose protocols resulted in a >70 % reduction in the effective dose. Lower dose scans resulted in higher geometric errors; however, error magnitudes were generally <0.5 mm. These data suggest that the effective dose associated with CT imaging can be substantially reduced without a significant loss of geometric reconstruction accuracy.

The Role of Journals in Reporting Sex and Gender-Based Outcomes: Should We Adopt Guidelines, and What Else Can We Do to Improve Reporting?

➤ Sex and gender are inconsistently reported in musculoskeletal research. A panel of journal editors and other interested parties who participated in The Journal of Bone and Joint Surgery Sex and Gender Reporting in Musculoskeletal Research Symposium met in 2023 to help define the roles of journals and other stakeholders in addressing this issue.➤ This report summarizes the resulting recommendations and presents several different ways in which orthopaedic journals may elect to introduce to their readers, reviewers, and authors the importance of considering sex and gender in orthopaedic research.➤ Many current sex and gender-related funding agency mandates as well as the Sex and Gender Equity in Research (SAGER) guidelines are most readily applied to prospective research and/or randomized controlled trials.➤ The panel was supportive of endorsing SAGER or a similar set of guidelines as a tool that can help authors to consider the most effective means of evaluating the influences of sex and gender within the context of orthopaedic research.➤ Engaging readers, reviewers, and authors on multiple fronts, with purpose and intention, is likely the most important approach to increase awareness and to enhance the quality of evidence utilized to support clinical decisions in orthopaedic surgery.

The inclusion of the journal of musculoskeletal surgery and research in the web of science™ (emerging sources citation index)

The inclusion of the journal of musculoskeletal surgery and research in the web of science^™ (emerging sources citation index)

Generation of musculoskeletal cells from human urine epithelium-derived presomitic mesoderm cells

BackgroundNumerous studies have shown that somite development is a necessary stage of myogenesis chondrogenesis and osteogenesis. Our previous study has established a stable presomitic mesoderm progenitor cell line (UiPSM) in vitro. Naturally, we wanted to explore whether UiPSM cell can develop bone and myogenic differentiation.ResultsSelective culture conditions yielded PAX3 and PAX7 positive skeletal muscle precursors from UiPSM cells. The skeletal muscle precursors undergo in vitro maturation resulting in myotube formation. MYOD effectively promoted the maturity of the skeletal myocytes in a short time. We found that UiPSM and MYOD mediated UiPSM cell-derived skeletal myocytes were viable after transplantation into the tibialis anterior muscle of MITRG mice, as assessed by bioluminescence imaging and scRNA-seq. Lack of teratoma formation and evidence of long-term myocytes engraftment suggests considerable potential for future therapeutic applications. Moreover, UiPSM cells can differentiate into osteoblast and chondroblast cells in vitro.ConclusionsUiPSM differentiation has potential as a developmental model for musculoskeletal development research and treatment of musculoskeletal disorders.

Bibliometric Analysis of Malaysian Orthopaedic Journal using Scopus Database.

The Malaysian Orthopaedic Journal (MOJ) (ISSN 1985-2533 / 2232-111X) is the official publication of the Malaysian Orthopaedic Association (MOA) and the ASEAN Orthopaedic Association (AOA). In May 2007, MOA published the first standalone issue of MOJ with the aim of disseminating new knowledge and providing updates in orthopaedics, trauma and musculoskeletal research. Since then, MOJ has grown significantly, achieving indexing in numerous databases and attaining a 2nd Quartile (Q2) rank in the Scopus database in 2022. This bibliometric analysis aims to explore the trends and distribution of articles published in MOJ. Bibliometric data for MOJ was extracted from the SCOPUS database, covering the years from its indexing to 2022. Information such as authors, country, document type, author's keywords, citations, and other parameters were extracted using the bibliometrix package in the R Studio software. The data were then presented in tables and illustrative graphs using the same software. A total of 305 articles were retrieved from the Scopus database during the study period. Two-thirds of the articles were original articles and review articles. The highest number of citations received by an article is 56, and top ten articles in MOJ were authored by researchers from seven different countries, highlighting the journal's diversity. Despite receiving submissions from various countries, there is minimal collaboration between authors of different countries. Keywords such as "covid-19" and "pandemic" dominate the authors' keyword section due to the once-in-a-life-time COVID-19 which during the study period, resulting in numerous publications related to this issue. This bibliometric analysis reviews all the articles indexed in the Scopus database and provides insight into the contributors' information and the trends in orthopaedic research. By identifying the lack of collaboration between countries, it is hoped that this analysis can inspire more orthopaedic surgeons and researchers to collaborate and produce high-quality publications.

There is a knowledge mobilization gap in musculoskeletal injury research in the military context

Musculoskeletal injuries (MSKIs) place a significant burden on military populations. While a considerable amount of research is being conducted to reduce the prevalence and impact of such injuries, rates of medical release due to MSKIs remain high. Military injury surveillance framework and research programs could be more successful if communication was improved by 1) engaging leadership at each step, 2) translating and disseminating findings to directly support personnel (e.g., health care professionals, physical training staff), and 3) presenting and discussing findings with service members to educate them and to interpret results. This article highlights a gap in knowledge sharing between the research community, military members, and practitioners supporting humans in uniform.

From Voxels to Physiology: A Review of Diffusion Magnetic Resonance Imaging Applications in Skeletal Muscle.

Skeletal muscle has a classic structure function relationship; both skeletal muscle microstructure and architecture are directly related to force generating capacity. Biopsy, the gold standard for evaluating muscle microstructure, is highly invasive, destructive to muscle, and provides only a small amount of information about the entire volume of a muscle. Similarly, muscle fiber lengths and pennation angles, key features of muscle architecture predictive of muscle function, are traditionally studied via cadaveric dissection. Noninvasive techniques such as diffusion magnetic resonance imaging (dMRI) offer quantitative approaches to study skeletal muscle microstructure and architecture. Despite its prevalence in applications for musculoskeletal research, clinical adoption is hindered by a lack of understanding regarding its sensitivity to clinically important biomarkers such as muscle fiber cross-sectional area. This review aims to elucidate how dMRI has been utilized to study skeletal muscle, covering fundamentals of muscle physiology, dMRI acquisition techniques, dMRI modeling, and applications where dMRI has been leveraged to noninvasively study skeletal muscle changes in response to disease, aging, injury, and human performance. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 2.

Virtual Clinical Trials - Implications of Computer Simulations and Artificial Intelligence for Musculoskeletal Research.

In silico clinical trials, particularly when augmented with artificial intelligence methods, represent an innovative approach with much to offer, particularly in the musculoskeletal field. They are a cost-effective, efficient, and ethical means of evaluating treatments and interventions by supplementing and/or augmenting traditional randomized controlled trials (RCTs). While they are not a panacea and should not replace traditional RCTs, their integration into the research process promises to accelerate medical advancements and improve patient outcomes. To accomplish this, a multidisciplinary approach is needed, and collaboration is instrumental. With advances in computing and analytical prowess, and by adhering to the tenets of team science, realization of such a novel integrative approach toward clinical trials may not be far from providing far-reaching contributions to medical research. As such, by harnessing the power of in silico clinical trials, investigators can potentially unlock new possibilities in treatment and intervention for ultimately improving patient care and outcomes.

Impact of the COVID-19 pandemic on the productivity and career prospects of musculoskeletal researchers.

Academic researchers faced a multitude of challenges posed by the COVID-19 pandemic, including widespread shelter-in-place orders, workplace closures, and cessation of in-person meetings and laboratory activities. The extent to which these challenges impacted musculoskeletal researchers, specifically, is unknown. We developed an anonymous web-based survey to determine the pandemic's impact on research productivity and career prospects among musculoskeletal research trainees and faculty. There were 116 musculoskeletal (MSK) researchers with varying demographic backgrounds who completed the survey. Of respondents, 48.3% (n = 56) believed that musculoskeletal funding opportunities decreased because of COVID-19, with faculty members more likely to hold this belief compared to nonfaculty researchers (p = 0.008). Amongst MSK researchers, 88.8% (n = 103) reported research activity was limited by COVID-19, and 92.2% (n = 107) of researchers reported their research was not able to be refocused on COVID-19-related topics, with basic science researchers less likely to be able to refocus their research compared to clinical researchers (p = 0.030). Additionally, 47.4% (n = 55) reported a decrease in manuscript submissions since the onset of the pandemic. Amongst 51 trainee researchers, 62.8% (n = 32) reported a decrease in job satisfaction directly attributable to the COVID-19 pandemic. In summary, study findings indicated that MSK researchers struggled to overcome challenges imposed by the pandemic, reporting declines in funding opportunities, research productivity, and manuscript submission. Trainee researchers experienced significant disruptions to critical research activities and worsening job satisfaction. Our findings motivate future efforts to support trainees in developing their careers and target the recovery of MSK research from the pandemic stall.

What Gets Measured Gets Managed: A Scoping Review of Musculoskeletal Research Conducted Within Practice-Based Research Networks.

Musculoskeletal conditions are often managed in primary care settings. To facilitate research and healthcare quality, practice-based research networks offer sustained collaborations between clinicians and researchers. A scoping review was conducted to describe characteristics of practice-based research networks used for musculoskeletal research and musculoskeletal research conducted through practice-based research networks. Practice-based research networks were identified from 1) musculoskeletal-studies identified in OVID Medline, CINAHL, and Embase databases from inception to 5 February 2023 and in ClinicalTrials.gov and 2) from practice-based research network registries and websites. Among active musculoskeletal-focused practice-based research networks (i.e., currently recruiting and conducting research), an assessment of practice-based research network research good practices was performed. After screening 3025 records, 85 studies from 46 unique practice-based research networks met our eligibility criteria. Common conditions studied were low back pain (28%), musculoskeletal conditions not otherwise specified (25%), and osteoarthritis (19%). Thirty-two practice-based research networks (70%) were deemed to be active. Among active musculoskeletal-focused practice-based research networks, best practice data management information was retrievable for most (53%). Because of the scarcity of publicly available information, a large proportion of practice-based research network research good practice items was not assessable. Practice-based research networks have provided an avenue to assess clinical practice and patient outcomes related to musculoskeletal conditions. Further work to increase the transparency of musculoskeletal practice-based research network research practices is warranted.

The Padel phenomenon after the COVID-19: an Italian cross-sectional survey of post-lockdown injuries.

The impact of COVID-19 on sport and physical activity has been a subject of considerable interest and concern. Padel satisfies the desire for social interaction and a return to sport after a period of inactivity. The aim of this study is to show a correlation between return to sport and related injuries in a population of Padel players. The study was carried out in a survey mode, consisting of a questionnaire with four sections and fifty questions on the biographical data of the individual, lifestyle before and after the pandemic, knowledge and playing level of Padel and injuries. The self-administered online questionnaire was developed and validated by a panel of physiotherapists, orthopaedic surgeons, and physiatrists with experience in clinical practice and/or musculoskeletal research. The study was conducted in a survey mode from a smartphone or computer via a link to a multiple-choice document. The link to the questionnaire was distributed via mailing lists, social media, and chat applications.

Reply to the Letter to the Editor: Editorial: In Musculoskeletal Research, Too Many Animals are Being Harmed for Too Small a Return.

Reply to the Letter to the Editor: Editorial: In Musculoskeletal Research, Too Many Animals are Being Harmed for Too Small a Return.

The Benefit of an Umbrella Protocol: Reducing Challenges in Orthopedic Oncology Research.

Background: Orthopedic oncology research is hindered by the scarcity of musculoskeletal tumors and research administrative inefficiencies. This paper introduces observational research through an innovative institution-specific methodology-termed an umbrella protocol. This protocol outlines a comprehensive standard procedure to expedite ethical approval for future aligned studies, reducing administrative barriers to research. Methods: We developed an umbrella protocol at an academic center, involving meticulous methodological identification and coordination with the institutional review board (IRB) to adhere to local guidelines. The protocol encompasses identifying investigators, research objectives, study goals, and data and safety monitoring frameworks necessary for typical standards. Results: Implementation of the umbrella protocol took 110 days to achieve exemption status, following multiple discussions with the IRB and extensive revisions. At the authors institution, this protocol significantly reduces protocol review times from an average of six-to-eight weeks to nearly instantaneous, facilitating a streamlined research process. Additionally, we established a dedicated orthopedic oncology patient registry to enhance future research endeavors. Conclusions: The adoption of umbrella protocols represents a pioneering strategy in orthopedic oncology. This approach mitigates research administrative burdens and broadens research scope in the field. It underscores the necessity of IRB collaboration, methodological precision, and stringent data management. The article also reflects on the ethical implications and potential biases introduced by emerging technologies like artificial intelligence, advocating for diligent ethical oversight. The establishment of an umbrella protocol marks a significant step towards more efficient research methodologies, ultimately aiming to improve patient care and outcomes for individuals with rare musculoskeletal conditions.