Evidence map›Paper›PMID 37980682›Full record

ArticleJournal of neuromuscular diseases2024

Findings from the Longitudinal CINRG Becker Natural History Study.

Paula R Clemens, Heather Gordish-Dressman, Gabriela Niizawa, Ksenija Gorni, Michela Guglieri, Anne M Connolly, Matthew Wicklund, Tulio Bertorini, Jean Mah, Mathula Thangarajh and 10 more

Abstract read
In one paragraph

Article in Journal of neuromuscular diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

20 authors.

Paula R ClemensUniversity of Pittsburgh, Pittsburgh, PA, USA.
Heather Gordish-DressmanChildren's National Medical Center, Washington, DC, USA.
Gabriela NiizawaUniversity of Pittsburgh, Pittsburgh, PA, USA.
Ksenija GorniHoffman-La Roche Inc., Basel, Switzerland.
Michela GuglieriNewcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Anne M ConnollyNationwide Children's Hospital, Columbus, OH, USA.
Matthew WicklundUniversity of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Tulio BertoriniUniversity of Tennessee, Memphis, TN, USA.
Jean MahCumming School of Medicine, University of Calgary, Calgary, Canada.
Mathula ThangarajhVirginia Commonwealth University, Richmond, VA, USA.
Edward C SmithDuke University, Durham, NC, USA.
Nancy L KuntzLurie Children's Hospital, Chicago, IL, USA.
Craig M McDonaldUniversity of California, Davis, Sacramento, CA, USA.
Erik HenricsonUniversity of California, Davis, Sacramento, CA, USA.
S UpadhyayulaEmory University, Atlanta, GA, USA.
Barry ByrneUniversity of Florida, Gainesville, FL, USA.
Georgios ManousakisUniversity of Minnesota, Minneapolis, MN, USA.
Amy HarperVirginia Commonwealth University, Richmond, VA, USA.
Susan IannacconeUniversity of Texas Southwestern Medical Center, Dallas, TX, USA.
Utkarsh J DangCarleton University, Ottawa, Canada.

Funding

RNA fidelity and protein function of Becker-like in-frame deletionsP50AR060836 · NIAMS · CHILDREN'S RESEARCH INSTITUTE · PI HOFFMAN, ERIC P. · 2011 to 2015
$7.8M
CTSA K12 Program at Virginia Commonwealth UniversityK12TR004364 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI SERGE PATRICK NANASINKAM, Gretchen N Neigh · 2023 to 2026
$3.0M
NCATS NIH HHS K12 TR004364NIAMS NIH HHS P50 AR060836
6 · The paper itself

Abstract

backgroundBecker muscular dystrophy is an X-linked, genetic disorder causing progressive degeneration of skeletal and cardiac muscle, with a widely variable phenotype.

objectiveA 3-year, longitudinal, prospective dataset contributed by patients with confirmed Becker muscular dystrophy was analyzed to characterize the natural history of this disorder. A better understanding of the natural history is crucial to rigorous therapeutic trials.

methodsA cohort of 83 patients with Becker muscular dystrophy (5-75 years at baseline) were followed for up to 3 years with annual assessments. Muscle and pulmonary function outcomes were analyzed herein. Age-stratified statistical analysis and modeling were conducted to analyze cross-sectional data, time-to-event data, and longitudinal data to characterize these clinical outcomes.

resultsDeletion mutations of dystrophin exons 45-47 or 45-48 were most common. Subgroup analysis showed greater pairwise association between motor outcomes at baseline than association between these outcomes and age. Stronger correlations between outcomes for adults than for those under 18 years were also observed. Using cross-sectional binning analysis, a ceiling effect was seen for North Star Ambulatory Assessment but not for other functional outcomes. Longitudinal analysis showed a decline in percentage predicted forced vital capacity over the life span. There was relative stability or improved median function for motor functional outcomes through childhood and adolescence and decreasing function with age thereafter.

conclusionsThere is variable progression of outcomes resulting in significant heterogeneity of the clinical phenotype of Becker muscular dystrophy. Disease progression is largely manifest in adulthood. There are implications for clinical trial design revealed by this longitudinal analysis of a Becker natural history dataset.

Indexed as

Muscular Dystrophy, DuchenneAdolescentAdultChildCross-Sectional StudiesHumansMyocardiumPhenotypeProspective StudiesdystrophinmuscleMuscular dystrophiesnatural historyskeletal

Identifiers

PMID37980682
PMCPMC10789327

What OpenQuestion holds

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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.