Healthcare use before paediatric multiple sclerosis onset differs by age and sex: a nationwide cohort study
Bibliographic record
Abstract
Background: Increased use of healthcare before multiple sclerosis (MS) onset indicates a prodromal phase. Data on the prodromal phase of paediatric-onset MS (PoMS) are sparse, especially regarding age-specific and sex-specific characteristics. The objective of this study was to examine healthcare use by age and sex before PoMS clinical onset. Methods: Individuals with MS with symptom onset before age 18 were identified in the Swedish MS registry. Rates of hospitalisations, outpatient visits and prescriptions dispensed were compared with a matched non-MS cohort for up to 16 years before MS onset, categorised by age at onset (12-15 and 16-17 years) and sex. Results: We included 233 PoMS and 1151 matched individuals. Compared with the matched cohort, females with PoMS exhibited higher annual rates of outpatient visits in the years preceding MS onset for neoplasms (rate ratios (RRs) 3.44-5.73) while males had higher rates for skin-related visits (RRs 6.00-11.00) and prescription dispensations for corticosteroids for dermatological use (year -1, RR 3.12; 95% CI 1.01 to 9.68). Older teenagers with MS had higher visit rates for neoplasms (RRs 3.98-8.70), while younger teenagers had higher nervous system-related visit rates (RRs 4.51-5.97) before MS onset. Conclusions: Individuals with PoMS showed age-specific and sex-specific increases in healthcare use before symptom onset, including skin-related visits in males and neoplasm-related visits for females and 16-17 year-olds. These results can help guide our understanding of MS mechanisms and may aid in earlier detection of MS in the paediatric population.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".