The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Phantom motor execution facilitated by machine learning and augmented reality as treatment for phantom limb pain: a single group, clinical trial in patients with chronic intractable phantom limb pain
Open accessOverview
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
Farrar, J. T., Young, J. P., LaMoreaux, L., Werth, J. L., & Poole, M. R. (2001) · Pain · doi:10.1016/s0304-3959(01)00349-9 · Cited by 5,808
A neural interface provides long-term stable natural touch perception
Tan, D. W., Schiefer, M. A., Keith, M. W., Anderson, J. R., Tyler, J., & Tyler, D. J. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008669 · Cited by 751
Ortiz-Catalan, M., Håkansson, B., & Brånemark, R. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008933 · Cited by 484
Self-citationResponse expectancies in placebo analgesia and their clinical relevance
Pollo, A., Amanzio, M., Arslanian, A., Casadio, C., Maggi, G., & Benedetti, F. (2001) · Pain · doi:10.1016/s0304-3959(01)00296-2 · Cited by 442
Cited by
Dumanian, G. A., Potter, B. K., Mioton, L. M., Ko, J. H., Cheesborough, J. E., Souza, J. M., Ertl, W. J., Tintle, S. M., Nanos, G. P., Valerio, I. L., et al. (2019) · Annals of Surgery · doi:10.1097/sla.0000000000003088 · Cited by 530
“Harris hypothesized that incongruence between motor efferents and sensory feedback leads to pathologic pain,(38) thus providing the basis for behavioral therapies such as mirror therapy and augmented reality training.(39) These strategies, as well as those standard procedures that attempt to find the neuroma a more pr…”
BackgroundAugmented Reality in Medicine: Systematic and Bibliographic Review
Eckert, M., Volmerg, J. S., & Friedrich, C. M. (2019) · JMIR mHealth and uHealth · doi:10.2196/10967 · Cited by 336
Applications of Machine Learning in Real-Life Digital Health Interventions: Review of the Literature
Triantafyllidis, A. K., & Tsanas, A. (2019) · Journal of Medical Internet Research · doi:10.2196/12286 · Cited by 243
Six‐Month Assessment of a Hand Prosthesis with Intraneural Tactile Feedback
Petrini, F. M., Valle, G., Strauss, I., Granata, G., Di Iorio, R., D'Anna, E., Čvančara, P., Mueller, M., Carpaneto, J., Clemente, F., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25384 · Cited by 195
Niki, K., Okamoto, Y., Maeda, I., Mori, I., Ishii, R., Matsuda, Y., Takagi, T., & Uejima, E. (2019) · Journal of Palliative Medicine · doi:10.1089/jpm.2018.0527 · Cited by 145
Metadata
- Authors
- Ortiz-Catalan, M., Guðmundsdóttir, R. A., Kristoffersen, M. B., Zepeda-Echavarria, A., Caine-Winterberger, K., Kulbacka-Ortiz, K., Widehammar, C., Eriksson, K., Stockselius, A., Ragnö, C., Pihlar, Z., Burger, H., & Hermansson, L.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 388
- Issue
- 10062
- Pages
- 2885-2894
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W2557886266
- Cited by
- 279
- References
- 4
- FWCI
- 29.28
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Phantom motor execution facilitated by machine learning and augmented reality as treatment for phantom limb pain: a single group, clinical trial in patients with chronic intractable phantom limb pain. https://app.cochat.ai/papers/10.1016/s0140-6736(16)31598-7
- The paper
- Ortiz-Catalan, M., Guðmundsdóttir, R. A., Kristoffersen, M. B., Zepeda-Echavarria, A., Caine-Winterberger, K., Kulbacka-Ortiz, K., Widehammar, C., Eriksson, K., Stockselius, A., Ragnö, C., Pihlar, Z., Burger, H., & Hermansson, L. (2016). Phantom motor execution facilitated by machine learning and augmented reality as treatment for phantom limb pain: a single group, clinical trial in patients with chronic intractable phantom limb pain. The Lancet. https://doi.org/10.1016/s0140-6736(16)31598-7
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.
