Evidence map›Paper›PMID 28643370›Full record

ArticleCPT: pharmacometrics & systems pharmacology2017

Developing a Natural History Progression Model for Duchenne Muscular Dystrophy Using the Six-Minute Walk Test.

Lora Hamuro, Phyllis Chan, Giridhar Tirucherai, Malaz AbuTarif

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Fully personalized modelling of Duchenne Muscular Dystrophy ambulation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
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  6. Good response to the late treatment with ataluren in a boy with Duchenne muscular dystrophy: could the previous mild course of the disease have affected the outcome?Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology · 2022
    Article
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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

4 authors.

Lora HamuroDepartment of Clinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Phyllis ChanDepartment of Clinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Giridhar TirucheraiDepartment of Clinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA.
Malaz AbuTarifDepartment of Clinical Pharmacology and Pharmacometrics, Bristol-Myers Squibb, Princeton, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 6-minute walk test (6MWT) is used as a clinical endpoint to evaluate drug efficacy in Duchenne Muscular Dystrophy (DMD) trials. A model was developed using digitized 6MWT data that estimated two slopes and two intercepts to characterize 6MWT improvement during development and 6MWT decline. Mean baseline 6MWT was 362 (±87) meters. The model predicted an improvement at a rate of 20 meters/year (95% confidence interval (CI) = 9.4-30) up until 10 years old (95% CI = 6.78-13.1), and then a decline at a rate of 85 meters/year (95% CI = 72-98). Interpatient slope variability for improvement and decline were similar at 21.9 percentage of coefficient of variation (%CV) and 23.3%CV, respectively. Model simulations using age demographics from a previous DMD natural history study could reasonably predict the trend in improvement and decline in the 6MWT. This model can be used to quantitate individual patient trajectories, identify prognostic factors for disease progression, and evaluate drug effect.

Indexed as

Models, BiologicalAdolescentChildChild, PreschoolDisease ProgressionHumansMaleMuscular Dystrophy, DuchenneWalk Test

Identifiers

PMID28643370
PMCPMC5613187

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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.