The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Why have we failed to achieve neuroprotection in Parkinson's disease?
Abstract
The development of a neuroprotective therapy that slows, stops, or reverses neurodegeneration in Parkinson's disease (PD) is the single most important unresolved issue in the management of this disorder. Current therapies provide effective control of symptoms, particularly in the early stages of the disease, but disease progression is associated with the development of "nondopaminergic" features such as postural instability, falling, and dementia that are not adequately controlled with existing medications. There are many promising candidate neuroprotective agents based on pathological and laboratory studies, but to date, it has not been possible to determine that any drug has a disease-modifying effect in PD. Obstacles to the development of a neuroprotective therapy in PD include: (1) uncertainty as to the precise cause of cell death in PD and what to target; (2) the lack of an animal model of PD that precisely reflects the etiopathogenesis of the disease, the pattern of dopaminergic and nondopaminergic pathology, and its chronic, progressive nature; (3) determination of the correct dose to use in clinical trials; and (4) delineation of a clinical end point that is an accurate measure of the underlying disease and is not confounded by potential symptomatic effects of a study intervention. New developments in understanding the cause of the disease, in the development of animal models of PD, and in clinical trial methodology will hopefully hasten the resolution of these problems.
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
Chaudhuri, K. R., Martinez‐Martin, P., Schapira, A. H. V., Stocchi, F., Sethi, K., Odin, P., Brown, R. G., Koller, W., Barone, P., MacPhee, G., et al. (2006) · Movement Disorders · doi:10.1002/mds.20844 · Cited by 1,100
Self-citationSydney multicenter study of Parkinson's disease: Non‐L‐dopa–responsive problems dominate at 15 years
Hely, M. A., Morris, J. G. L., Reid, W. G. J., & Trafficante, R. (2005) · Movement Disorders · doi:10.1002/mds.20324 · Cited by 1,050
The NINDS NET-PD Investigators (2006) · Neurology · doi:10.1212/01.wnl.0000201252.57661.e1 · Cited by 453
Cited by
Pathological roles of MAPK signaling pathways in human diseases
Kim, E. K., & Choi, E.-J. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2009.12.009 · Cited by 2,472
Clinical progression in Parkinson disease and the neurobiology of axons
Cheng, H., Ulane, C. M., & Burke, R. E. (2010) · Annals of Neurology · doi:10.1002/ana.21995 · Cited by 1,012
“Why has this therapeutic goal been so resistant to our best efforts? There are many possible reasons why this goal has remained elusive.(4) For instance, suboptimal animal models of PD and”
BackgroundObeso, J. A., Stamelou, M., Goetz, C. G., Poewe, W., Lang, A. E., Weintraub, D., Burn, D., Halliday, G. M., Bezard, E., Przedborski, S., et al. (2017) · Movement Disorders · doi:10.1002/mds.27115 · Cited by 859
“However, there remain many obstacles both to identifying therapies capable of modifying the natural course of PD and to testing their efficacy in clinical trials.(295) Using a combination of therapies targeting multiple pathogenetic pathways simultaneously offers some attraction.”
Self-citationMissing pieces in the Parkinson's disease puzzle
Obeso, J. A., Rodriguez-Oroz, M. C., Goetz, C. G., Marin, C., Kordower, J. H., Rodriguez, M., Hirsch, E. C., Farrer, M., Schapira, A. H. V., & Halliday, G. (2010) · Nature Medicine · doi:10.1038/nm.2165 · Cited by 734
Self-citationExenatide and the treatment of patients with Parkinson's disease
Aviles-Olmos, I., Dickson, J., Kefalopoulou, Z., Djamshidian, A., Ell, P., Soderlund, T., Whitton, P., Wyse, R., Isaacs, T., Lees, A., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci68295 · Cited by 529
Metadata
- Authors
- Olanow, C. W., Kieburtz, K., & Schapira, A. H. V.
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2009-01-06
- Volume
- 64
- Issue
- S2
- Pages
- S101-S110
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- OpenAlex
- W2123882607
- Cited by
- 183
- References
- 3
- FWCI
- 11.81
- Type
- journal article
- Language
- en
- Open access
- closed
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: Why have we failed to achieve neuroprotection in Parkinson's disease? https://app.cochat.ai/papers/10.1002/ana.21461
- The paper
- Olanow, C. W., Kieburtz, K., & Schapira, A. H. V. (2009). Why have we failed to achieve neuroprotection in Parkinson's disease? Annals of Neurology. https://doi.org/10.1002/ana.21461
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.