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Guidelines on the Use of Therapeutic Apheresis in Clinical Practice – Evidence‐Based Approach from the Writing Committee of the American Society for Apheresis: The Ninth Special Issue
Abstract
The American Society for Apheresis (ASFA)Journal of Clinical Apheresis(JCA) Special Issue Writing Committee is charged with reviewing, updating, and categorizing indications for the evidence‐based use of therapeutic apheresis (TA) in human disease. In the Ninth Edition, the JCA Special Issue Writing Committee has incorporated systematic review and evidence‐based approaches in the grading of evidence and categorization of apheresis indications to make recommendations on the use of apheresis in a wide variety of diseases and conditions. This edition has largely maintained the general layout and concept of a fact sheet introduced in the Fourth Edition (2007). Each fact sheet succinctly summarizes the evidence for the use of TA in a specific disease or medical condition. The Ninth Edition of the JCA Special Issue comprises 91 fact sheets and 166 graded and categorized indications. This includes seven new fact sheets, nine new indications on existing fact sheets, and eight changes in the category for existing indications. The Ninth Edition of the JCA Special Issue seeks to continue to serve as a key resource that guides the utilization of TA in the treatment of human disease.
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Metadata
- Authors
- Connelly‐Smith, L., Alquist, C. R., Aqui, N. A., Hofmann, J. C., Klingel, R., Onwuemene, O. A., Patriquin, C. J., Pham, H. P., Sanchez, A. P., Schneiderman, J., Witt, V., Zantek, N. D., & Dunbar, N. M.
- Venue
- Journal of Clinical Apheresis
- Publisher
- Wiley
- Published
- 2023-04
- Volume
- 38
- Issue
- 2
- Pages
- 77-278
- ISSN
- 0733-2459 (ISSN-L)
- 1098-1101
- OpenAlex
- W4362602027
- Cited by
- 684
- References
- 1,061
- FWCI
- 67.14
- 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 ›
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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.