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Record W2116006013 · doi:10.1186/1753-2000-4-9

Controversies concerning the diagnosis and treatment of bipolar disorder in children

2010· article· en· W2116006013 on OpenAlexfundno aff
Erik Parens, Josephine Johnston

Bibliographic record

VenueChild and Adolescent Psychiatry and Mental Health · 2010
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
FundersNational Institute of Mental HealthDepartment of Psychiatry, Columbia UniversityUniversität UlmYork UniversityUniversity at AlbanyLondon School of Economics and Political ScienceChildren’s Hospital of Wisconsin Research InstituteMedical Center, University of PittsburghUniversity of PittsburghStony Brook UniversityState University of New YorkUniversity of Texas Southwestern Medical CenterBrandeis UniversityUniversity of WashingtonUniversity of ConnecticutOhio State UniversityUniversity of California, San FranciscoChildren's Hospital of PhiladelphiaWellcome TrustUniversity of PennsylvaniaMassachusetts General Hospital
KeywordsChild and adolescent psychiatryBipolar disorderContext (archaeology)PsychologyDSM-5MoodPsychiatryDysphoriaClinical psychologyAnxiety

Abstract

fetched live from OpenAlex

This commentary grows out of an interdisciplinary workshop focused on controversies surrounding the diagnosis and treatment of bipolar disorder (BP) in children. Although debate about the occurrence and frequency of BP in children is more than 50 years old, it increased in the mid 1990s when researchers adapted the DSM account of bipolar symptoms to diagnose children. We offer a brief history of the debate from the mid 90s through the present, ending with current efforts to distinguish between a small number of children whose behaviors closely fit DSM criteria for BP, and a significantly larger number of children who have been receiving a BP diagnosis but whose behaviors do not closely fit those criteria. We agree with one emerging approach, which gives part or all of that larger number of children a new diagnosis called Severe Mood Dysregulation or Temper Dysregulation Disorder with Dysphoria.Three major concerns arose about interpreting the DSM criteria more loosely in children than in adults. If clinicians offer a treatment for disorder A, but the patient has disorder B, treatment may be compromised. Because DSM's diagnostic labels are meant to facilitate research, when they are applied inconsistently, such research is compromised. And because BP has a strong genetic component, the label can distract attention from the family or social context.Once a BP diagnosis is made, concerns remain regarding the primary, pharmacological mode of treatment: data supporting the efficacy of the often complex regimens are weak and side effects can be significant. However, more than is widely appreciated, data do support the efficacy of the psychosocial treatments that should accompany pharmacotherapy. Physicians, educators, and families should adopt a multimodal approach, which focuses as much on the child's context as on her body. If physicians are to fulfill their ethical obligation to facilitate truly informed consent, they must be forthcoming with families about the relevant uncertainties and complexities.

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)0.025
metaresearch head score (Gemma)0.098
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.098
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0060.016
Scholarly communication0.0050.007
Open science0.0040.004
Research integrity0.0160.039
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.266
Teacher spread0.257 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations90
Published2010
Admission routes1
Has abstractyes

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