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Record W1970848658 · doi:10.2147/ndt.s4720

Adult ADHD and comorbid depression: A consensus-derived diagnostic algorithm for ADHD

2009· article· en· W1970848658 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNeuropsychiatric Disease and Treatment · 2009
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of TorontoSunnybrook Health Science CentreDalhousie UniversityHealth Sciences CentreUniversity of British Columbia
FundersServierSanofiGlaxoSmithKlineH. Lundbeck A/SEli Lilly and Company
KeywordsAnxietyMedicineMajor depressive disorderPsychiatryDepression (economics)MoodStimulantMood disordersBipolar disorderAttention deficit hyperactivity disorderComorbidityClinical psychology

Abstract

fetched live from OpenAlex

Adult ADHD and comorbid depression: A consensus-derived diagnostic algorithm for ADHD Diane McIntosh1, Stan Kutcher2, Carin Binder3, Anthony Levitt4, Angelo Fallu5, Michael Rosenbluth61Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada; 2Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; 3Medical and Government Affairs, Janssen-Ortho Inc, Toronto, Ontario, Canada; 4Department of Psychiatry, Sunnybrook and Women’s Health Sciences Centre, Toronto, Ontario, Canada; 5Psychiatry, Clinique Woodward, Sherbrooke, Quebec, Canada; 6Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada Objective: Many patients present to their physician with depression as their primary symptom. However, depression may mask other comorbid disorders. This article presents diagnostic criteria and treatment recommendations (and monitoring) pertaining to the diagnosis of adult attention deficit hyperactivity disorder (ADHD), which may be missed in patients who present with depressive symptoms, or major depressive disorder (MDD). Other co-occurring conditions such as anxiety, substance use, and bipolar disorder are briefly discussed. Methods: A panel of psychiatrist-clinicians with expertise in the area of child and adolescent ADHD and mood disorders, adult mood disorders, and adult ADHD was convened. A literature search for recommendations on the diagnosis and treatment of co-occurring conditions (MDD, anxiety symptoms, and substance use) with adult ADHD was performed. Based on this, and the panel’s clinical expertise, the authors developed a diagnostic algorithm and recommendations for the treatment of adult ADHD with co-occurring MDD.Results: Little information exists to assist clinicians in diagnosing ADHD co-occurring with other disorders such as MDD. A three-step process was developed by the panel to aid in the screening and diagnosis of adult ADHD. In addition, comorbid MDD, bipolar disorder, anxiety symptoms, substance use and cardiovascular concerns regarding stimulant use are discussed. Conclusion: This article provides clinicians with a clinically relevant overview of the literature on comorbid ADHD and depression and offers a clinically useful diagnostic algorithm and treatment suggestions.Keywords: ADHD, adult, treatment, diagnosis, substance use disorder, depression

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.306
Teacher spread0.279 · 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