The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Update of the MDS research criteria for prodromal Parkinson's disease
Open accessAbstract
The MDS Research Criteria for Prodromal PD allow the diagnosis of prodromal Parkinson's disease using an evidence‐based conceptual framework, which was designed to be updated as new evidence becomes available. New prospective evidence of predictive values of risk and prodromal markers published since 2015 was reviewed and integrated into the criteria. Many of the predictive values (likelihood ratios, LR) remain unchanged. The positive likelihood ratio notably increase for olfactory loss and decreased for substantia nigra hyperechogenicity. Negative likelihood ratio remained largely unchanged for all markers. New levels of diagnostic certainty for neurogenic and symptomatic orthostatic hypotension have been added, which substantially differ in positive likelihood ratio from the original publication. For intermediate strength genetic variants, their age‐related penetrance is now incorporated in the calculation of the positive likelihood ratio. Moreover, apart from prospective studies, evidence from cross‐sectional case‐control genome‐wide association studies is also considered (given their likely lack of confounding and reverse causation), and to account for the effect of multiple low‐penetrance genetic variants polygenic risk scores are added to the model. Diabetes, global cognitive deficit, physical inactivity, and low plasma urate levels in men enter the criteria as new markers. A web‐based prodromal PD risk calculator allows the calculation of probabilities of prodromal PD for individuals. Several promising candidate markers may improve the diagnostic accuracy of prodromal PD in the future. © 2019 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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
Fereshtehnejad, S.-M., Romenets, S. R., Anang, J. B. M., Latreille, V., Gagnon, J.-F., & Postuma, R. B. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.0703 · Cited by 615
Self-citationPhysical activities and future risk of Parkinson disease
Xu, Q., Park, Y., Huang, X., Hollenbeck, A., Blair, A., Schatzkin, A., & Chen, H. (2010) · Neurology · doi:10.1212/wnl.0b013e3181ea1597 · Cited by 328
Self-citationAssociation between diabetes and subsequent Parkinson disease: A record-linkage cohort study
De Pablo-Fernandez, E., Goldacre, R., Pakpoor, J., Noyce, A. J., & Warner, T. T. (2018) · Neurology · doi:10.1212/wnl.0000000000005771 · Cited by 242
Mediterranean diet adherence is related to reduced probability of prodromal Parkinson's disease
Maraki, M. I., Yannakoulia, M., Stamelou, M., Stefanis, L., Xiromerisiou, G., Kosmidis, M. H., Dardiotis, E., Hadjigeorgiou, G. M., Sakka, P., Anastasiou, C. A., et al. (2019) · Movement Disorders · doi:10.1002/mds.27489 · Cited by 195
Physical activity and risk of Parkinson's disease: a prospective cohort study
Logroscino, G., Sesso, H. D., Paffenbarger, R. S., & Lee, I.-M. (2006) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.097170 · Cited by 105
Cited by
Bloem, B. R., Okun, M. S., & Klein, C. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00218-x · Cited by 3,920
Challenges in the diagnosis of Parkinson's disease
Tolosa, E., Garrido, A., Scholz, S. W., & Poewe, W. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00030-2 · Cited by 1,874
Balestrino, R., & Schapira, A. H. V. (2020) · European Journal of Neurology · doi:10.1111/ene.14108 · Cited by 1,508
Prodromal Parkinson disease subtypes — key to understanding heterogeneity
Berg, D., Borghammer, P., Fereshtehnejad, S.-M., Heinzel, S., Horsager, J., Schaeffer, E., & Postuma, R. B. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00486-9 · Cited by 409
Self-citationIncidence of Parkinson disease in North America
Willis, A. W., Roberts, E., Beck, J. C., Fiske, B., Ross, W., Savica, R., Van Den Eeden, S. K., Tanner, C. M., Marras, C., on behalf of the Parkinson’s Foundation P4 Group, et al. (2022) · npj Parkinson's Disease · doi:10.1038/s41531-022-00410-y · Cited by 341
Self-citationHuang, B., Chau, S. W. H., Liu, Y., Chan, J. W. Y., Wang, J., Ma, S. L., Zhang, J., Chan, P. K. S., Yeoh, Y. K., Chen, Z., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38248-4 · Cited by 187
Dumitrescu, L., Marta, D., Dănău, A., Lefter, A., Tulbă, D., Cozma, L., Manole, E., Gherghiceanu, M., Ceafalan, L. C., & Popescu, B. O. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.689723 · Cited by 100
Optimal Treatment of Depression and Anxiety in Parkinson's Disease
Pontone, G. M., & Mills, K. A. (2021) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2021.02.037 · Cited by 67
Watanabe, H., Dijkstra, J. M., & Nagatsu, T. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25042009 · Cited by 48
Onset of Skin, Gut, and Genitourinary Prodromal Parkinson's Disease: A Study of 1.5 Million Veterans
Scott, G. D., Lim, M. M., Drake, M. G., Woltjer, R., & Quinn, J. F. (2021) · Movement Disorders · doi:10.1002/mds.28636 · Cited by 42
Kulcsarova, K., Bang, C., Berg, D., & Schaeffer, E. (2023) · Journal of Parkinson’s Disease · doi:10.3233/jpd-230206 · Cited by 40
Self-citationHeinzel, S., Jureczek, J., Kainulainen, V., Nieminen, A. I., Suenkel, U., von Thaler, A.-K., Kaleta, C., Eschweiler, G. W., Brockmann, K., Aho, V. T. E., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-63893-0 · Cited by 36
Self-citationFluid markers of synapse degeneration in synucleinopathies
Cervantes González, A., & Belbin, O. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-022-02467-8 · Cited by 7
Metadata
- Authors
- Heinzel, S., Berg, D., Gasser, T., Chen, H., Yao, C., Postuma, R. B., & the MDS Task Force on the Definition of Parkinson's Disease
- Venue
- Movement Disorders
- Publisher
- Wiley
- Published
- 2019-08-14
- Volume
- 34
- Issue
- 10
- Pages
- 1464-1470
- ISSN
- 0885-3185 (ISSN-L)
- 1531-8257
- OpenAlex
- W2968583737
- Cited by
- 768
- References
- 5
- FWCI
- 40.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.
