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Cited by 283

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

Consensus clinical management guidelines for Niemann-Pick disease type C

Open access
on behalf of the International Niemann-Pick Disease Registry (INPDR), Geberhiwot, Tarekegn, Moro, Alessandro, Dardis, Andrea, Ramaswami, Uma, Sirrs, Sandra, Marfa, Mercedes Pineda, Vanier, Marie T., Walterfang, Mark, Bolton, Shaun, Dawson, Charlotte, Héron, Bénédicte, Stampfer, Miriam, Imrie, Jackie, Hendriksz, Christian, Gissen, Paul, Crushell, Ellen, Coll, Maria J., Nadjar, Yann, Klünemann, Hans, Mengel, Eugen, Hrebicek, Martin, Jones, Simon A., Ory, Daniel, Bembi, Bruno, Patterson, Marc·2018·Orphanet Journal of Rare Diseases

Abstract

Niemann-Pick Type C (NPC) is a progressive and life limiting autosomal recessive disorder caused by mutations in either the NPC1 or NPC2 gene. Mutations in these genes are associated with abnormal endosomal-lysosomal trafficking, resulting in the accumulation of multiple tissue specific lipids in the lysosomes. The clinical spectrum of NPC disease ranges from a neonatal rapidly progressive fatal disorder to an adult-onset chronic neurodegenerative disease. The age of onset of the first (beyond 3 months of life) neurological symptom may predict the severity of the disease and determines life expectancy.NPC has an estimated incidence of ~ 1: 100,000 and the rarity of the disease translate into misdiagnosis, delayed diagnosis and barriers to good care. For these reasons, we have developed clinical guidelines that define standard of care for NPC patients, foster shared care arrangements between expert centres and family physicians, and empower patients. The information contained in these guidelines was obtained through a systematic review of the literature and the experiences of the authors in their care of patients with NPC. We adopted the Appraisal of Guidelines for Research & Evaluation (AGREE II) system as method of choice for the guideline development process. We made a series of conclusive statements and scored them according to level of evidence, strengths of recommendations and expert opinions. These guidelines can inform care providers, care funders, patients and their carers of best practice of care for patients with NPC. In addition, these guidelines have identified gaps in the knowledge that must be filled by future research. It is anticipated that the implementation of these guidelines will lead to a step change in the quality of care for patients with NPC irrespective of their geographical location.

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Metadata

Authors
on behalf of the International Niemann-Pick Disease Registry (INPDR), Geberhiwot, T., Moro, A., Dardis, A., Ramaswami, U., Sirrs, S., Marfa, M. P., Vanier, M. T., Walterfang, M., Bolton, S., Dawson, C., Héron, B., Stampfer, M., Imrie, J., Hendriksz, C., Gissen, P., Crushell, E., Coll, M. J., Nadjar, Y., Klünemann, H., Mengel, E., Hrebicek, M., Jones, S. A., Ory, D., Bembi, B., & Patterson, M.
Venue
Orphanet Journal of Rare Diseases
Published
2018-04-06
Volume
13
Issue
1
Pages
50-50
ISSN
1750-1172 (ISSN-L)
OpenAlex
W2804385143
Cited by
283
References
76
FWCI
18.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Consensus clinical management guidelines for Niemann-Pick disease type C. https://app.cochat.ai/papers/10.1186/s13023-018-0785-7
The paper
on behalf of the International Niemann-Pick Disease Registry (INPDR), Geberhiwot, T., Moro, A., Dardis, A., Ramaswami, U., Sirrs, S., Marfa, M. P., Vanier, M. T., Walterfang, M., Bolton, S., Dawson, C., Héron, B., Stampfer, M., Imrie, J., Hendriksz, C., Gissen, P., Crushell, E., Coll, M. J., Nadjar, Y., . . . Patterson, M. (2018). Consensus clinical management guidelines for Niemann-Pick disease type C. Orphanet Journal of Rare Diseases. https://doi.org/10.1186/s13023-018-0785-7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.