Evidence map›Paper›PMID 20817884›Full record

ArticleJournal of child neurology2010

Muscular Dystrophy Surveillance Tracking and Research Network (MD STARnet): case definition in surveillance for childhood-onset Duchenne/Becker muscular dystrophy.

Katherine D Mathews, Chris Cunniff, Jiji R Kantamneni, Emma Ciafaloni, Timothy Miller, Dennis Matthews, Valerie Cwik, Charlotte Druschel, Lisa Miller, F John Meaney and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of child neurology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 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

12 authors.

Katherine D MathewsDepartment of Pediatrics, Roy and Lucille Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA. katherine-mathews@uiowa.edu
Chris Cunniff
Jiji R Kantamneni
Emma Ciafaloni
Timothy Miller
Dennis Matthews
Valerie Cwik
Charlotte Druschel
Lisa Miller
F John Meaney
John Sladky
Paul A Romitti

Funding

Surveillance and Epidemiologic Research of Duchenne and Becker Muscular DystrophyU01DD000189 · DD · UNIVERSITY OF IOWA · PI ROMITTI, PAUL A · 2006 to 2011
$4.1M
NEUROBIOLOGY OF DISEASE IN CHILDREN CONFERENCESR13NS040925 · NINDS · UNIVERSITY OF MISSOURI-COLUMBIA · PI MARIA, BERNARD L · 2001 to 2020
$1.0M
NCBDD CDC HHS U01 DD000189NINDS NIH HHS 5R13NS040925-09NINDS NIH HHS R13 NS040925
6 · The paper itself

Abstract

The Muscular Dystrophy Surveillance Tracking and Research Network (MD STARnet) is a multisite collaboration to determine the prevalence of childhood-onset Duchenne/Becker muscular dystrophy and to characterize health care and health outcomes in this population. MD STARnet uses medical record abstraction to identify patients with Duchenne/Becker muscular dystrophy born January 1, 1982 or later who resided in 1 of the participating sites. Critical diagnostic elements of each abstracted record are reviewed independently by >4 clinicians and assigned to 1 of 6 case definition categories (definite, probable, possible, asymptomatic, female, not Duchenne/Becker muscular dystrophy) by consensus. As of November 2009, 815 potential cases were reviewed. Of the cases included in analysis, 674 (82%) were either ''definite'' or ''probable'' Duchenne/Becker muscular dystrophy. These data reflect a change in diagnostic testing, as case assignment based on genetic testing increased from 67% in the oldest cohort (born 1982-1987) to 94% in the cohort born 2004 to 2009.

Indexed as

AdolescentAdultChildChild, PreschoolCohort StudiesCooperative BehaviorCross-Sectional StudiesDiagnosis, DifferentialFemaleGenetic Predisposition to DiseaseGenetic TestingHumansInfantInfant, NewbornMaleMuscular Dystrophy, Duchenne

Identifiers

PMID20817884
PMCPMC3674568

What OpenQuestion holds

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Registered trials

None linked

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.