The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Linear clinical progression, independent of age of onset, in Niemann–Pick disease, type C
Open accessAbstract
Niemann–Pick disease, type C is a neurodegenerative, lysosomal storage disorder with a broad clinical spectrum and a variable age of onset. The absence of a universally accepted clinical outcome measure is an impediment to the design of a therapeutic trial for NPC. Thus, we developed a clinical severity scale to characterize and quantify disease progression. Clinical signs and symptoms in nine major (ambulation, cognition, eye movement, fine motor, hearing, memory, seizures, speech, and swallowing) and eight minor (auditory brainstem response, behavior, gelastic cataplexy, hyperreflexia, incontinence, narcolepsy, psychiatric, and respiratory problems) domains were scored. Data were collected from 18 current NPC patients and were extracted from records of 19 patients. Both patient cohorts showed a linear increase in severity scores over time. Cross‐sectional evaluation of current patients showed a linear increase in the severity score. Longitudinal chart review of historical data demonstrated that although age of onset varied significantly, the rate of progression appeared linear, independent of age of onset, and similar in all patients. Combining the data from both cohorts, disease progression could be modeled by the following equation: Ŝ t0+x = Ŝ t0 + 1.87x; where Ŝ t0 is the initial score and Ŝ t0+x is the predicted future score after x years. Our observation that disease progression is similar across patients and independent of age of onset is consistent with a biphasic pathological model for NPC. This scale may prove useful in the characterization of potential biomarkers, and as an outcome measure to monitor disease progression in NPC patients. © 2009 Wiley‐Liss, Inc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Vanier, M., & Millat, G. (2003) · Clinical Genetics · doi:10.1034/j.1399-0004.2003.00147.x · Cited by 578
Niemann-Pick type C disease involves disrupted neurosteroidogenesis and responds to allopregnanolone
Griffin, L. D., Gong, W., Verot, L., & Mellon, S. H. (2004) · Nature Medicine · doi:10.1038/nm1073 · Cited by 395
Cited by
Vanier, M. T. (2010) · Orphanet Journal of Rare Diseases · doi:10.1186/1750-1172-5-16 · Cited by 1,222
Ory, D. S., Ottinger, E. A., Farhat, N. Y., King, K. A., Jiang, X., Weissfeld, L., Berry-Kravis, E., Davidson, C. D., Bianconi, S., Keener, L. A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31465-4 · Cited by 316
Self-citationConsensus clinical management guidelines for Niemann-Pick disease type C
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., et al. (2018) · Orphanet Journal of Rare Diseases · doi:10.1186/s13023-018-0785-7 · Cited by 283
Self-citationOttinger, E., Kao, M., Carrillo-Carrasco, N., Yanjanin, N., Shankar, R., Janssen, M., Brewster, M., Scott, I., Xu, X., Cradock, J., et al. (2014) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026613666131127160118 · Cited by 121
Self-citationRelative acidic compartment volume as a lysosomal storage disorder–associated biomarker
te Vruchte, D., Speak, A. O., Wallom, K. L., Al Eisa, N., Smith, D. A., Hendriksz, C. J., Simmons, L., Lachmann, R. H., Cousins, A., Hartung, R., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci72835 · Cited by 73
Self-citation
Metadata
- Authors
- Yanjanin, N. M., Vélez, J. I., Gropman, A., King, K., Bianconi, S. E., Conley, S. K., Brewer, C. C., Solomon, B., Pavan, W. J., Arcos‐Burgos, M., Patterson, M. C., & Porter, F. D.
- Venue
- American Journal of Medical Genetics Part B: Neuropsychiatric Genetics
- Publisher
- Wiley
- Published
- 2009-12-21
- Volume
- 153B
- Issue
- 1
- Pages
- 132-140
- ISSN
- 1552-4841 (ISSN-L)
- 1552-485X
- OpenAlex
- W2160604070
- Cited by
- 191
- References
- 2
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Linear clinical progression, independent of age of onset, in Niemann–Pick disease, type C. https://app.cochat.ai/papers/10.1002/ajmg.b.30969
- The paper
- Yanjanin, N. M., Vélez, J. I., Gropman, A., King, K., Bianconi, S. E., Conley, S. K., Brewer, C. C., Solomon, B., Pavan, W. J., Arcos‐Burgos, M., Patterson, M. C., & Porter, F. D. (2010). Linear clinical progression, independent of age of onset, in Niemann–Pick disease, type C. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics. https://doi.org/10.1002/ajmg.b.30969
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.