The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Effect of Anti-CD25 Antibody Daclizumab in the Inhibition of Inflammation and Stabilization of Disease Progression in Multiple Sclerosis
Open accessAbstract
BACKGROUND: Several questions arise concerning the use of the anti-CD25 antibody daclizumab to treat multiple sclerosis (MS). OBJECTIVES: To answer the following 3 questions related to the efficacy of daclizumab therapy in patients with MS: Is the therapeutic effect of daclizumab dependent on combination with interferon beta? Is a higher dosage of daclizumab more efficacious in patients with persistent disease activity? Can biomarkers predict full vs partial therapeutic response to daclizumab? DESIGN: An open-label baseline vs treatment phase II clinical trial of daclizumab in patients having MS with inadequate response to interferon beta. Three months of interferon beta treatment at baseline were followed by 5.5 months of interferon beta-daclizumab combination therapy. If patients experienced more than 75% reduction of contrast-enhancing lesions (CELs) on brain magnetic resonance imaging at month 5.5 compared with baseline, daclizumab was continued as monotherapy for 10 months. Otherwise, the dosage of daclizumab was doubled. SETTING: Neuroimmunology Branch, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland. PATIENTS: Fifteen patients with MS receiving standard preparations of interferon beta who experienced more than 1 MS exacerbation or whose clinical disability increased in the preceding 12 months and who had at least 2 CELs on baseline brain magnetic resonance images. INTERVENTION: Daclizumab (1 mg/kg) as an intravenous infusion every 4 weeks in combination with interferon beta (months 0-5.5) and as monotherapy (months 6.5-15.5). MAIN OUTCOME MEASURES: The primary outcome was the reduction of CELs among interferon beta monotherapy, interferon beta-daclizumab combination therapy, and daclizumab monotherapy. The secondary outcomes included immunologic biomarkers and changes in clinical disability. RESULTS: Overall, 5 of 15 patients (33%) experienced adverse effects of therapy. Two patients developed systemic adverse effects, and daclizumab therapy was discontinued. Although daclizumab monotherapy was efficacious in 9 of 13 patients with MS, interferon beta-daclizumab combination therapy was necessary to stabilize disease activity in the other 4 patients. Daclizumab therapy led to 72% inhibition of new CELs and significant improvement in clinical disability. Pilot biomarkers (increase in CD56bright natural killer cells and decrease in CD8+ T cells) were identified that can differentiate between full and partial daclizumab responders. CONCLUSIONS: Daclizumab monotherapy is effective in most patients who experienced persistent MS disease activity with interferon beta therapy. Interferon beta-daclizumab combination therapy or higher dosages of daclizumab may be necessary to achieve optimal therapeutic response in all patients. Biomarkers may identify patients with suboptimal response to daclizumab monotherapy. Administration among a large patient sample during a longer period is needed to fully define the safety and long-term efficacy of daclizumab as treatment for high-inflammatory MS. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00001934.
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
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
Cited by
Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis
The International Multiple Sclerosis Genetics Consortium & The Wellcome Trust Case Control Consortium 2 (2011) · Nature · doi:10.1038/nature10251 · Cited by 2,697
The experimental autoimmune encephalomyelitis (EAE) model of MS
(2014) · Handbook of Clinical Neurology · doi:10.1016/b978-0-444-52001-2.00008-x · Cited by 464
Organ-specific features of natural killer cells
Shi, F.-D., Ljunggren, H.-G., La Cava, A., & Van Kaer, L. (2011) · Nature Reviews Immunology · doi:10.1038/nri3065 · Cited by 414
Wuest, S. C., Edwan, J. H., Martin, J. F., Han, S., Perry, J. S. A., Cartagena, C. M., Matsuura, E., Maric, D., Waldmann, T. A., & Bielekova, B. (2011) · Nature Medicine · doi:10.1038/nm.2365 · Cited by 284
Self-citationThe efficacy and safety of daclizumab and its potential role in the treatment of multiple sclerosis
Milo, R. (2014) · Therapeutic Advances in Neurological Disorders · doi:10.1177/1756285613504021 · Cited by 38
Metadata
- Authors
- Bielekova, B., Howard, T., Packer, A. N., Richert, N., Blevins, G., Ohayon, J., Waldmann, T. A., McFarland, H. F., & Martin, R.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2009-04-01
- Volume
- 66
- Issue
- 4
- Pages
- 483-9
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2113754168
- Cited by
- 172
- References
- 1
- FWCI
- 18.09
- 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: Effect of Anti-CD25 Antibody Daclizumab in the Inhibition of Inflammation and Stabilization of Disease Progression in Multiple Sclerosis. https://app.cochat.ai/papers/10.1001/archneurol.2009.50
- The paper
- Bielekova, B., Howard, T., Packer, A. N., Richert, N., Blevins, G., Ohayon, J., Waldmann, T. A., McFarland, H. F., & Martin, R. (2009). Effect of Anti-CD25 Antibody Daclizumab in the Inhibition of Inflammation and Stabilization of Disease Progression in Multiple Sclerosis. Archives of Neurology. https://doi.org/10.1001/archneurol.2009.50
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.