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Record W3162811359 · doi:10.1136/bmj.n972

Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis

2021· review· en· W3162811359 on OpenAlexafffund
Yin Wu, Brooke Levis, Ying Sun, Chen He, Ankur Krishnan, Dipika Neupane, Parash Mani Bhandari, Zelalem Negeri, Andrea Benedetti, Brett D. Thombs

Bibliographic record

VenueBMJ · 2021
Typereview
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsMcGill UniversityJewish General Hospital
FundersKaohsiung Chang Gung Memorial HospitalDepartament d'Universitats, Recerca i Societat de la InformacióNational Health and Medical Research CouncilGovernment of Western AustraliaDeutsche KrebshilfeNorges ForskningsrådCanadian Breast Cancer Research AllianceFundação de Amparo à Pesquisa do Estado de Minas GeraisBethlehem Griffiths Research FoundationNational Breast Cancer FoundationBundesministerium für Bildung und ForschungComisión Nacional de Investigación Científica y TecnológicaUniversity of SydneyUniversità degli Studi di FerraraUniversität HeidelbergChang Gung Medical FoundationDeutsche RentenversicherungInstituto de Salud Carlos IIINational Research FoundationUniversiti Sains MalaysiaHunter Medical Research InstituteAustralian GovernmentCanadian Institutes of Health ResearchTransport Accident CommissionEuropean CommissionMedical Research CouncilNational Research Foundation of KoreaIrish Cancer SocietyInstituto Nacional de Ciência e Tecnologia Translacional em MedicinaCanadian Prostate Cancer Research InitiativeSociété Française de Dermatologie et de Pathologie Sexuellement TransmissibleMinisterio de Sanidad, Consumo y Bienestar SocialFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaUniversity of MelbourneConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsMini-international neuropsychiatric interviewPsycINFOMeta-analysisHospital Anxiety and Depression ScaleAnxietyDepression (economics)MEDLINEClinical psychologyMedicinePsychiatryBivariate analysisPsychologyInternal medicineMachine learningComputer science

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.048
metaresearch head score (Gemma)0.121
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.048
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.121
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0270.052
Bibliometrics0.0080.006
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.242
GPT teacher head0.470
Teacher spread0.228 · 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 designMeta-analysis
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

Citations257
Published2021
Admission routes2
Has abstractyes

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