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Record W4319297564 · doi:10.3390/ctn7010006

Saudi Consensus Recommendations on the Management of Multiple Sclerosis: Symptom Management and Vaccination

2023· article· en· W4319297564 on OpenAlexaff
Ibtisam A. Al Thubaiti, Mona Alkhawajah, Norah Al Fugham, Dema A. Alissa, Ahmed Al‐Jedai, Yaser Al Malik, Mousa A. Almejally, Hajer Almudaiheem, Bedor A. Al-Omari, Hessa Alotaibi, Rumaiza H. Al Yafeai, Mohammed A. Babakkor, Reem F. Bunyan, Edward Cupler, Mohammed Hakami, Hanaa Kedah, Seraj Makkawi, Leena Saeed, Jameelah Saeedi, Eslam Shosha, Mohammed Aljumah

Bibliographic record

VenueClinical and Translational Neuroscience · 2023
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineVaccinationMultiple sclerosisDiseaseDepression (economics)Quality of life (healthcare)Intensive care medicinePopulationPandemicPhysical therapyCoronavirus disease 2019 (COVID-19)PsychiatryImmunologyEnvironmental healthInfectious disease (medical specialty)PathologyNursing

Abstract

fetched live from OpenAlex

This article deals with recommendations on the management of symptoms of MS and on the provision of vaccinations in patients receiving disease-modifying therapies (DMTs). Symptoms of MS, such as fatigue, depression, urinary symptoms, spasticity, impairment of gait, and sexual dysfunction, are common in this population. Recognizing and addressing these symptoms is key to maintaining the quality of life of people with MS. Vaccination status should be reviewed and updated prior to initiation of DMTs. In general, vaccination should be avoided for variable periods after the initiation of some DMTs. Live attenuated vaccines are contraindicated and should be considered on a case-by-case basis. These consensus recommendations will present the best practices for vaccination in Saudi Arabia before, during, and after the COVID-19 pandemic. The recommendations will be updated periodically and as needed as new evidence becomes available.

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)0.012
metaresearch head score (Gemma)0.040
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.040
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0080.005

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 head0.259
GPT teacher head0.404
Teacher spread0.144 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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