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Record W2099624771 · doi:10.1093/pch/18.2.70

The clinical impact of switching attention deficit hyperactivity disorder patients from OROS®-MPH to Novo-MPH ER-C®: A paediatric practice review

2013· article· en· W2099624771 on OpenAlexaboutno aff
Judy PM van Stralen

Bibliographic record

VenuePaediatrics & Child Health · 2013
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
Fundersnot available
KeywordsAttention deficit hyperactivity disorderMedicinePsychiatryPediatricsPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: In Canada, novo-methylphenidate extended-release capsules (Novo-MPH ER-C, Novopharm Limited, Canada) was approved as being bioequivalent to a current first-line treatment for attention deficit hyperactivity disorder (ADHD), CONCERTA (OROS-MPH, Janssen Inc, Canada). The present practice review was undertaken to determine whether bioequivalence of these products translates into therapeutic equivalence. METHODS: The present study was a retrospective, single-centre, observational review of consecutive paediatric ADHD patients prescribed OROS-MPH during a seven-month period. RESULTS: Of the 53 patients who had been switched to the bioequivalent product, 87% destabilized and 43% indicated a shorter duration of effect. In comparison, of those who never tried the second entry medication, only 26% destabilized. Qualitative data indicated differences with regard to side effects, efficacy and duration of effect. CONCLUSIONS: The present retrospective study indicated that Novo-MPH ER-C is not therapeutically equivalent to OROS-MPH. Once an individual with ADHD is effectively managed, disruption of their treatment should be avoided.

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)0.003
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.030
GPT teacher head0.380
Teacher spread0.349 · 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 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

Citations8
Published2013
Admission routes1
Has abstractyes

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