Evidence map›Paper›PMID 23953952›Full record

ArticlePediatric neurology2013

National variation in costs and mortality for leukodystrophy patients in US children's hospitals.

Cameron J Brimley, Jonathan Lopez, Keith van Haren, Jacob Wilkes, Xiaoming Sheng, Clint Nelson, E Kent Korgenski, Rajendu Srivastava, Joshua L Bonkowsky

Open access · bronzeAbstract read
In one paragraph

Article in Pediatric neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  20. Emerging treatments for pediatric leukodystrophies.Pediatric clinics of North America · 2015
    Review
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

9 authors at 3 institutions in 1 country.

Cameron J BrimleyUniversity of Utah School of Medicine, Salt Lake City, Utah 84108, USA.
Jonathan Lopez
Keith van Haren
Jacob Wilkes
Xiaoming Sheng
Clint Nelson
E Kent Korgenski
Rajendu Srivastava
Joshua L Bonkowsky
University of Utah · USIntermountain Healthcare · USStanford University · US

Funding

Trans-Cellular Activation of Transcription to Analyze Dopaminergic Axon ReorganizDP2MH100008 · NIMH · UNIVERSITY OF UTAH · PI BONKOWSKY, JOSH LEITCH · 2012 to 2012
$2.2M
Characterization and Genetic Analysis of Basal Ganglia Axon PathfindingK08DA024753 · NIDA · UNIVERSITY OF UTAH · PI BONKOWSKY, JOSH LEITCH · 2008 to 2013
$931k
NCCDPHP CDC HHS DP2 MH100008NIDA NIH HHS K08 DA024753NIMH NIH HHS DP2 MH100008
6 · The paper itself

Abstract

backgroundInherited leukodystrophies are progressive, debilitating neurological disorders with few treatment options and high mortality rates. Our objective was to determine national variation in the costs for leukodystrophy patients and to evaluate differences in their care.

methodsWe developed an algorithm to identify inherited leukodystrophy patients in deidentified data sets using a recursive tree model based on International Classification of Disease, 9th Edition, Clinical Modification, diagnosis and procedure charge codes. Validation of the algorithm was performed independently at two institutions, and with data from the Pediatric Health Information System (PHIS) of 43 US children's hospitals, for a 7-year period between 2004 and 2010.

resultsA recursive algorithm was developed and validated, based on six International Classification of Disease, 9th Edition, Clinical Modification, codes and one procedure code that had a sensitivity up to 90% (range 61-90%) and a specificity up to 99% (range 53-99%) for identifying inherited leukodystrophy patients. Inherited leukodystrophy patients comprise 0.4% of admissions to children's hospitals and 0.7% of costs. During 7 years, these patients required $411 million of hospital care, or $131,000/patient. Hospital costs for leukodystrophy patients varied at different institutions, ranging from two to 15 times more than the average pediatric patient. There was a statistically significant correlation between higher volume and increased cost efficiency. Increased mortality rates had an inverse relationship with increased patient volume that was not statistically significant.

conclusionsWe developed and validated a code-based algorithm for identifying leukodystrophy patients in deidentified national datasets. Leukodystrophy patients account for $59 million of costs yearly at children's hospitals. Our data highlight potential to reduce unwarranted variability and improve patient care.

Indexed as

Cost of IllnessHospitals, PediatricLeukodystrophy, MetachromaticAlgorithmsChildChild, PreschoolCohort StudiesFemaleHospitalizationHumansMaleRetrospective StudiesUnited States

Identifiers

PMID23953952
PMCPMC3748620
OpenAlexW2100822576

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.