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Record W2621222751 · doi:10.1017/cjn.2017.153

P.069 Vaccination protocol for MS patients undergoing immunosuppressive therapy: an important topic lacking consensus

2017· article· en· W2621222751 on OpenAlexvenueaboutno aff
Rob Busby, K Attwell-Pope

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVaccinationImmunizationProtocol (science)Public healthIntensive care medicineFamily medicineDiseaseImmunologyInternal medicineAlternative medicineImmune systemPathology

Abstract

fetched live from OpenAlex

Background: As therapy for MS has expanded to include multiple immunomodulatory and immunosuppressive therapies, the need to consider patient vaccination status has emerged as a salient issue in the treatment of MS. Unfortunately, there is little research or consensus about how vaccination in these patients should be addressed. Methods: A search of primary literature on the topic of potential pathogens and available vaccinations in immunosuppressed patients was performed. We reviewed the limited available information in the MS, gastroenterology, and rheumatology literature. As well, the current Canadian immunization guide was referred to along with expert opinion from public health nurses and infectious disease specialists. Results: There is currently little consensus about vaccination protocols for patients initiating immunosuppressive therapy. We integrated information from all of our sources to create a preliminary protocol for the vaccination of MS patients prior to initiation of immunosuppressive therapy. Conclusions: More work needs to be done to create standardized vaccination protocols for MS patients who will be undergoing immunosuppressive therapy. We have created a preliminary protocol in conjunction with public health to standardize the vaccinations that MS patients receive. We hope that this will streamline immunization of patients immediately after diagnosis of MS so that initiation of immunosuppressive therapy will not be delayed in the future.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.004
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.309
Teacher spread0.266 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2017
Admission routes2
Has abstractyes

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