← Back to cohort
Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis
Eliana Brehaut, Dipika Neupane, Brooke Levis, Yin Wu, Ying Sun, Ankur Krishnan, Chen He, Parash Mani Bhandari, Zelalem Negeri, Kira E. Riehm, Danielle B. Rice, Marleine Azar, Xin Wei Yan, Mahrukh Imran, Matthew J. Chiovitti, Nazanin Saadat, Pim Cuijpers, John P. A. Ioannidis, Sarah Markham, Scott B. Patten, Roy C. Ziegelstein, Mélissa Henry, Zahinoor Ismail, Carmen G. Loiselle, Nicholas Mitchell, Marcello Tonelli, Jill Boruff, Lorie A. Kloda, Anna Beraldi, Anna P.B.M. Braeken, Gregory Carter, Kerrie Clover, Ronán Conroy, Daniel Cukor, Carlos E. da Rocha e Silva, Jennifer De Souza, Marina G. Downing, Anthony Feinstein, Panagiotis Ferentinos, Felix Fischer, Alastair J. Flint, Pamela Gallagher, Simone Goebel, Nathalie Jetté, Miguel Julião, Monika Keller, Marie Kjærgaard, Anthony W. Love, Bernd Löwe, Rocío Martín‐Santos, Ioannis Michopoulos, Ricard Navinés, Suzanne O’Rourke, Ahmet Öztürk, Luís Pintor, Jennie Ponsford, Alasdair G Rooney, Roberto Sánchez, Marcelo Libório Schwarzbold, Michael Sharpe, Sébastien Simard, Susanne Singer, Jon Stone, Ka-Yee Tung, Alyna Turner, Jane Walker, Mark Walterfang, Jennifer White, Andrea Benedetti, Brett D. Thombs
Bibliographic record
VenueJournal of Psychosomatic Research · 2020
Typereview
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity Health NetworkHealth Sciences CentreJewish General HospitalAlberta HealthSunnybrook Health Science CentreUniversity of TorontoConcordia UniversityUniversity of AlbertaUniversité du Québec à ChicoutimiOntario Brain InstituteMcGill University Health CentreMcGill UniversityUniversity of CalgaryInstitut Universitaire en Santé Mentale de QuébecAlberta Health Services
FundersInstituto de Salud Carlos IIINational Health and Medical Research CouncilMedical Research CouncilUniversität HeidelbergFonds de Recherche du Québec - SantéIrish Cancer SocietyCanadian Institutes of Health ResearchTransport Accident CommissionDepartament d'Universitats, Recerca i Societat de la InformacióWaikato Medical Research FoundationMultiple Sclerosis Society of CanadaBethlehem Griffiths Research FoundationNational Breast Cancer FoundationBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchInstituto Nacional de Ciência e Tecnologia Translacional em MedicinaCanadian Prostate Cancer Research InitiativeMinisterio de Sanidad, Consumo y Bienestar SocialMinistry of Health, Labour and WelfareMcGill UniversityMcGill University Health CentreMultiple Sclerosis SocietyFaculty of Medicine, McGill UniversityMinistry of Education, Culture, Sports, Science and TechnologyUniversity of CalgaryHunter Medical Research InstituteAmerican Psychological AssociationAlberta InnovatesAlberta Health ServicesFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaCumming School of Medicine, University of CalgaryCanadian Breast Cancer Research Alliance
KeywordsDepression (economics)Meta-analysisPsychologyClinical psychologyPsychiatryMedicineInternal medicine
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.754
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 head0.906
GPT teacher head0.671
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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
Citations42
Published2020
Admission routes2
Has abstractno