Evidence map›Paper›PMID 21541726›Full record

ArticleJournal of inherited metabolic disease2011

Nijmegen paediatric CDG rating scale: a novel tool to assess disease progression.

Samira Achouitar, Miski Mohamed, Thatjana Gardeitchik, Saskia B Wortmann, Jolanta Sykut-Cegielska, Regina Ensenauer, Hélène Ogier de Baulny, Katrin Õunap, Diego Martinelli, Maaike de Vries and 10 more

Abstract readValidation Study
In one paragraph

Article in Journal of inherited metabolic disease, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

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

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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

20 authors.

Samira AchouitarInstitute for Genetic and Metabolic Disease, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
Miski Mohamed
Thatjana Gardeitchik
Saskia B Wortmann
Jolanta Sykut-Cegielska
Regina Ensenauer
Hélène Ogier de Baulny
Katrin Õunap
Diego Martinelli
Maaike de Vries
Robert McFarland
Dorus Kouwenberg
Miranda Theodore
Frits Wijburg
Stephanie Grünewald
Jaak Jaeken
Ron A Wevers
Leo Nijtmans
Joanna Elson
Eva Morava

Funding

Medical Research Council G0800674Medical Research Council G90/63
6 · The paper itself

Abstract

Congenital disorders of glycosylation (CDG) are a group of clinically heterogeneous inborn errors of metabolism. At present, treatment is available for only one CDG, but potential treatments for the other CDG are on the horizon. It will be vitally important in clinical trials of such agents to have a clear understanding of both the natural history of CDG and the corresponding burden of disability suffered by patients. To date, no multicentre studies have attempted to document the natural history of CDG. This is in part due to the lack of a reliable assessment tool to score CDG's diverse clinical spectrum. Based on our earlier experience evaluating disease progression in disorders of oxidative phosphorylation, we developed a practical and semi-quantitative rating scale for children with CDG. The Nijmegen Paediatric CDG Rating Scale (NPCRS) has been validated in 12 children, offering a tool to objectively monitor disease progression. We undertook a successful trial of the NPCRS with a collaboration of nine experienced physicians, using video records of physical and neurological examination of patients. The use of NPCRS can facilitate both longitudinal and natural history studies that will be essential for future interventions.

Indexed as

AdolescentChildChild, PreschoolCohort StudiesCongenital Disorders of GlycosylationDisease ProgressionFemaleHumansMalePediatricsPrognosisResearch Design

Identifiers

PMID21541726
PMCPMC3232068

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.