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Record W2116164341 · doi:10.4172/2155-9562.1000197

Benefit-Risk of Immunomodulators in Multiple Sclerosis. Alemtuzumab and Next?

2014· article· en· W2116164341 on OpenAlexaboutno aff
François Curtin

Bibliographic record

VenueJournal of Neurology & Neurophysiology · 2014
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAlemtuzumabMultiple sclerosisMedicineNeuroscienceOmicsComputational biologyBioinformaticsImmunologyComputer scienceBiologyAntibody

Abstract

fetched live from OpenAlex

By the 30th of December 2013, the Boston-based company Genzyme, part of the Sanofi Pharmaceutical group, announced that it had received a Complete Response Letter from the U.S. Food and Drug Administration (FDA) for its supplemental Biologics License Application seeking approval of alemtuzumab (Lemtrada ® ) for the treatment of relapsing forms of multiple sclerosis (MS).A Complete Response Letter informs companies that an application is not ready for approval.The FDA wanted to see more evidence from controlled clinical trials that demonstrate the benefits of alemtuzumab outweigh the safety risk of the drugs [1].Alemtuzumab, recently approved in the European Union, Canada and Australia, is a monoclonal antibody that selectively targets the CD52 receptors expressed on the surface of B and T cells: this induces a depletion of lymphocytes over the long term.Alemtuzumab was originally developed to treat B-cell chronic lymphocytic leukemia.The mode of administration is by intravenous infusion with treatment cycles of a few days: in the pivotal Phase III studies CARE-MS I and II, the first cycle was of 5 days during which patients received 5 infusions of 12 mg of alemtuzumab, after one year, the second treatment cycle lasted 3 days with 3 IV infusions of 12 mg alemtuzumab.The efficacy of the drug appears high as in the first Phase III study (CARE MS I) [2] including 563 patients with relapsing remitting MS (RRMS), alemtuzumab was compared to interferon β1a, a reference MS treatment; the annualized relapse rate ratio (ARR), a standard metrics for clinical trials in RRMS, was of 0.18 in the alemtuzumab arm representing a decrease of 53% compared to interferon β1a.In the other Phase III trial (CARE-MS II) [3] in 798 RRMS patients, the ARR was 0.26 in the alemtuzumab 12 mg group, i.e. a decrease of 50% compared to the group treated with interferon β1a.These efficacy results appear all the more significant as differences of ARR of similar magnitude were seen with recently registered MS drugs such as fingolimod or dimethyl fumarate, but in comparison to placebo and not to an active MS treatment.The safety profile of alemtuzumab includes very frequent infusion reactions (headache, rash, nausea, pyrexia, etc), a tendency to more frequent infections (upper respiratory, urinary and herpetic infections in particular), and the occurrence of B cell mediated autoimmune disorders such as thyroid disorders (hyper-or hypothyroidism), immune mediated thrombocytopenia AbstractEnd of December 2013, alemtuzumab, a monoclonal antibody for multiple sclerosis (MS) with an immunomodulator action targeting CD52 receptors and inducing decrease counts of lymphocytes B and T was rejected by the Food and Drug Administration, as the registration dossier had not shown convincing evidence that the benefit of the drug would overreach its safety risks.The question is in fact more global as immunomodulators constitute the majority of the newly registered drugs and drugs in clinical development for MS.The knowledge accumulated by the time these drugs are registered does not suffice to ascertain their safety profile.This is preoccupying as these treatments are intended to be administered to young patients who need to be treated for decades.Cumulative risks over years with such treatments are at the moment unknown but are certainly non negligible.Despite significant benefits of immunomodulation in the treatment of MS, the solution for treatment of disorders with auto-immune origin is likely to come from targeting more specific factors to avoid long-term depression of the immune system.Research and development in this direction need to be actively encouraged.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.006
Open science0.0010.001
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0240.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.264
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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