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Record W2038262125 · doi:10.1177/1087054712474685

ADHD Symptom Rebound and Emotional Lability With Lisdexamfetamine Dimesylate in Children Aged 6 to 12 Years

2013· article· en· W2038262125 on OpenAlexaff
Frank A. López, Ann Childress, Ben Adeyi, Bryan Dirks, T. Babcock, Brian Scheckner, Robert Lasser, John C. Shepski, Valerie Arnold

Bibliographic record

VenueJournal of Attention Disorders · 2013
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsinVentiv Health Clinical
Fundersnot available
KeywordsPsychologyLabilityClinical psychologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe symptom rebound in children with ADHD treated with lisdexamfetamine dimesylate (LDX) or placebo. METHOD: During a 4-week, randomized, double-blind, placebo-controlled trial of LDX, parents/caregivers completed the Conners' Parent Rating Scale-Revised: Short Form symptom rating scale throughout the day. Response, rebound, and emotional lability (EL) were assessed post hoc based on predefined criteria. RESULTS: Most participants given LDX ( n = 207) were responders throughout the day (50.7%-55.6%) versus placebo ( n = 72; 11.1%-22.2%). A total of seven (3.4%) LDX participants showed rebound in the afternoon and/or evening versus seven (9.7%) with placebo. In both groups, most incidences of rebound occurred in the evening. EL (mean) was higher in LDX rebounders and nonresponders (range = 4.2-9.0) versus LDX responders (range = 1.3-1.6) and versus placebo rebounders (range = 0.7-1.9). CONCLUSION: ADHD symptom rebound occurred in few participants (3.3%) given LDX (accompanied by clinically significant EL). Overall, more participants given LDX versus placebo responded throughout the day.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.264
Teacher spread0.253 · 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

Citations11
Published2013
Admission routes1
Has abstractyes

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Same venueJournal of Attention DisordersSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207