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Cited by 523

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Consensus criteria for the classification of carpal tunnel syndrome in epidemiologic studies.

Open access
Rempel, D, Evanoff, B, Amadio, P C, de Krom, M, Franklin, G, Franzblau, A, Gray, R, Gerr, F, Hagberg, M, Hales, T, Katz, J N, Pransky, G·1998·American Journal of Public Health

Abstract

Criteria for the classification of carpal tunnel syndrome for use in epidemiologic studies were developed by means of a consensus process. Twelve medical researchers with experience in conducting epidemiologic studies of carpal tunnel syndrome participated in the process. The group reached agreement on several conceptual issues. First, there is no perfect gold standard for carpal tunnel syndrome. The combination of electrodiagnostic study findings and symptom characteristics will provide the most accurate information for classification of carpal tunnel syndrome. Second, use of only electrodiagnostic study findings is not recommended. Finally, in the absence of electrodiagnostic studies, specific combinations of symptom characteristics and physical examination findings may be useful in some settings but are likely to result in greater misclassification of disease status.

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Metadata

Authors
Rempel, D., Evanoff, B., Amadio, P. C., de Krom, M., Franklin, G., Franzblau, A., Gray, R., Gerr, F., Hagberg, M., Hales, T., Katz, J. N., & Pransky, G.
Venue
American Journal of Public Health
Published
1998-10
Volume
88
Issue
10
Pages
1447-1451
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2144447068
Cited by
523
References
0
FWCI
10.54
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Consensus criteria for the classification of carpal tunnel syndrome in epidemiologic studies. https://app.cochat.ai/papers/10.2105/ajph.88.10.1447
The paper
Rempel, D., Evanoff, B., Amadio, P. C., de Krom, M., Franklin, G., Franzblau, A., Gray, R., Gerr, F., Hagberg, M., Hales, T., Katz, J. N., & Pransky, G. (1998). Consensus criteria for the classification of carpal tunnel syndrome in epidemiologic studies. American Journal of Public Health. https://doi.org/10.2105/ajph.88.10.1447

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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.