Saudi Consensus Recommendations on the Management of Multiple Sclerosis: Family Planning within the Management of MS
Bibliographic record
Abstract
This review article addresses the complex issues faced by individuals with Multiple Sclerosis (MS) who are planning a family, becoming pregnant, or wishing to breastfeed their baby. Recommendations and guidelines were discussed and agreed upon by neurologists, neuroradiologists, nurses, and pharmacists involved in the management of MS in the Kingdom of Saudi Arabia (KSA). MS itself does not harm a pregnancy, and people with MS of childbearing age can be encouraged to enjoy family life. Family planning should be a part of the initial conversation with a newly diagnosed patient of childbearing age. Interferons and glatiramer acetate can be continued throughout pregnancy and can be administered during breastfeeding if the benefits outweigh the risks. These DMTs may be considered for a woman with well-controlled MS who is planning a pregnancy or otherwise not using contraception, according to an individualized risk-benefit analysis. The use of contraception should be maintained during the administration of other disease-modifying therapies (DMTs). Natalizumab can be administered at a reduced administration frequency to women with high MS disease activity up to 30 weeks gestation (this agent may induce hematological abnormalities in the fetus). Other DMTs should be withdrawn for variable periods before contraception is stopped and immediately after the discovery of a pregnancy (beware of rebound disease activity after withdrawing natalizumab or fingolimod). Resumption of treatment should not be delayed in women at risk of relapse during the postpartum period and especially in those who do not wish to breastfeed.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".