Evidence map›Paper›PMID 26265281›Full record

ArticleThe Journal of pediatrics2015

Chiari I Malformation in Nephropathic Cystinosis.

Kavya I Rao, John Hesselink, Doris A Trauner

Open access · greenAbstract read
In one paragraph

Article in The Journal of pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Kavya I RaoDepartment of Neurosciences, University of California, San Diego School of Medicine, La Jolla, CA.
John HesselinkDepartment of Neurosciences, University of California, San Diego School of Medicine, La Jolla, CA; Department of Radiology, University of California, San Diego School of Medicine, La Jolla, CA.
Doris A TraunerDepartment of Neurosciences, University of California, San Diego School of Medicine, La Jolla, CA; Department of Pediatrics, University of California, San Diego School of Medicine, La Jolla, CA; Rady Children's Hospital San Diego, San Diego, CA. Electronic address: dtrauner@ucsd.edu.
University of California San Diego · US

Funding

Brain Structure and Cognition in CystinosisR01NS043135 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TRAUNER, DORIS A · 2003 to 2007
$1.4M
NINDS NIH HHS R01 NS043135
6 · The paper itself

Abstract

objectiveTo determine the relative incidence of Chiari I malformations in children with cystinosis compared with those in the general population. STUDY

designMagnetic resonance imaging scans were performed on 53 patients with nephropathic cystinosis and 120 controls, age range 3-18 years.

resultsTen of 53 (18.9%) patients with cystinosis had Chiari I or tonsillar ectopia, and only 2 of 120 controls (1.6%) had a similar finding. At least 2 of the patients had symptoms or signs thought to be related to the malformation, and one had surgical decompression. Two had an associated cervical syrinx.

conclusionsChildren with cystinosis have a 12-fold higher prevalence of Chiari I malformations than the general pediatric population. Chiari I malformations should be high on the differential diagnosis when individuals with cystinosis develop neurologic signs and symptoms, and magnetic resonance imaging scans should be performed on children with cystinosis who present with new-onset headache, ataxia, incontinence, or other unexplained neurologic symptoms.

Indexed as

AdolescentArnold-Chiari MalformationCaliforniaChildChild, PreschoolCystinosisFemaleHumansIncidenceMagnetic Resonance ImagingMalePrevalence

Identifiers

PMID26265281
PMCPMC4661060
OpenAlexW2129747887

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.