In one paragraphArticle in Neurology. Clinical practice, 2024. 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
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Susan E MatesanzDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.ORCID https://orcid.org/0000-0003-1556-395X Jonathan B EdelsonDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.ORCID https://orcid.org/0000-0003-3220-7922 Katherine A IacobellisDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.ORCID https://orcid.org/0009-0002-3142-030X Erika MejiaDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.
John F BrandsemaDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.ORCID https://orcid.org/0000-0001-5945-3280 Carol A Wittlieb-WeberDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.ORCID https://orcid.org/0000-0001-8841-4926 Oluwatimilehin OkunowoDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.ORCID https://orcid.org/0000-0002-7260-1767 Heather GriffisDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.ORCID https://orcid.org/0000-0002-9284-4707 Kimberly Y LinDivision of Neurology (SEM, JFB); Division of Cardiology (JBE, KAI, EM, CAW-W, KYL), Cardiac Center, the Children's Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine; Leonard Davis Institute Center for Healthcare Economics (JBE); Cardiovascular Outcomes, Quality, and Evaluative Research Center (JBE), University of Pennsylvania, Philadelphia; and Data Science and Biostatistics Unit (OO, HG), Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia.ORCID https://orcid.org/0000-0003-1582-9797 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Background and Objectives: Standards of care exist to optimize outcomes in Duchenne and Becker muscular dystrophy (DBMD), caused by alterations in the DMD gene; however, there are limited data regarding health care access in these patients. This study aims to characterize outpatient subspecialty care utilization in pediatric patients with DBMD. Methods: This retrospective cohort study used administrative claims data from IBM MarketScan Medicaid and Commercial Claims and Encounters Research Databases (2013-2018). Male patients 1-18 years with an Results: A total of 1,386 patients met inclusion-347 (25.0%) age 1-6 years, 502 (36.2%) age 7-12 years, and 537 (38.7%) age 13-18 years. Heart failure, respiratory failure, and technology dependence increased with age ( Discussion: The rate of annual neurology follow-up and corticosteroid use in patients with DBMD is low. Medicaid insurance status was independently associated with a decreased likelihood of neurology follow-up, while age was not, suggesting that factors other than disease severity influence neurology care access. Identifying barriers to regular follow-up is critical in improving outcomes for patients with DBMD.
Identifiers
PMID38855715
PMCPMC11160481
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