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Record W3201693912 · doi:10.1111/ane.13532

Narcolepsy treatment in Sweden: An observational study

2021· article· en· W3201693912 on OpenAlexaff
Helena Gauffin, Thomas B. Fast, Anastasija Komkova, Shala Ghaderi Berntsson, Inger Boström, Anne‐Marie Landtblom

Bibliographic record

VenueActa Neurologica Scandinavica · 2021
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsInstitute of Health Economics
FundersUCB
KeywordsNarcolepsyMedicineModafinilMethylphenidateObservational studyCataplexyPediatricsPopulationHealth carePsychiatryPhysical therapyInternal medicineAttention deficit hyperactivity disorder

Abstract

fetched live from OpenAlex

OBJECTIVES: To describe the pharmacological treatments (2005-2017) and the healthcare utilization (1997-2016) for patients with narcolepsy in Sweden in order to create a framework for future organizational and economic analyses. MATERIAL & METHODS: Patients of all ages with a diagnosis of narcolepsy registered in the National Patient Registry in specialist care in Sweden were included and information on treatments for narcolepsy was retrieved from The Swedish Prescribed Drug Register. RESULTS: We collected 2508 patients with narcolepsy, 43,3% men and 56,7% women and 47,9% were prescribed modafenil, 33,8% metylphenidate and 26,2% amphetamine. In total, 3817 treatments were initiated. Patients treated with amphetamine had a higher mean age. More women than men used modafinil, methylphenidate, amphetamine and antidepressants. The narcolepsy population had more outpatient than inpatient healthcare. Patients treated with sodium oxybate had more outpatient visits than other narcolepsy patients, before and during treatment (p = .00). CONCLUSIONS: This study gives valuable information on pharmaceutical treatments and healthcare utilization for patients with narcolepsy and can be used to estimate the healthcare cost in the future. Patients with sodium oxybate treatment had more outpatient visits than other patients before and during treatment which may be due to the need to monitor potentially severe side-effects or may indicate that patients with sodium oxybate treatment have a severe disease. The number of included patients was less than expected; however, this may depend on patients escaping our collection of data, which does not contain information from primary care.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.362
GPT teacher head0.421
Teacher spread0.059 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations14
Published2021
Admission routes1
Has abstractyes

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