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Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies
Yin Wu, Brooke Levis, Ying Sun, Ankur Krishnan, Chen He, Kira E. Riehm, Danielle B. Rice, Marleine Azar, Xin Wei Yan, Dipika Neupane, Parash Mani Bhandari, Mahrukh Imran, Matthew J. Chiovitti, Nazanin Saadat, Jill Boruff, Pim Cuijpers, Simon Gilbody, Dean McMillan, John P. A. Ioannidis, Lorie A. Kloda, Scott B. Patten, Ian Shrier, Roy C. Ziegelstein, Mélissa Henry, Zahinoor Ismail, Carmen G. Loiselle, Nicholas Mitchell, Marcello Tonelli, Samir Al‐Adawi, Anna Beraldi, Anna P.B.M. Braeken, Natalie Büel-Drabe, Adomas Bunevičius, Gregory Carter, Chih-Ken Chen, Gary Cheung, Kerrie Clover, Ronán Conroy, Daniel Cukor, Carlos E. da Rocha e Silva, Eli Dabscheck, Federico M. Daray, Elles Douven, Marina G. Downing, Anthony Feinstein, Panagiotis Ferentinos, Felix Fischer, Alastair J. Flint, Pamela Gallagher, Milena Gandy, Simone Goebel, Luigi Grassi, Martin Härter, Josef Jenewein, Nathalie Jetté, Miguel Julião, Jae‐Min Kim, Sung‐Wan Kim, Marie Kjærgaard, Sebastian Köhler, Wim L. Loosman, Bernd Löwe, Rocío Martín‐Santos, Loreto Massardo, Yutaka Matsuoka, Anja Mehnert, Ioannis Michopoulos, L. Misery, Ricard Navinés, Meaghan O’Donnell, Ahmet Öztürk, Jūratė Pečeliūnienė, Luís Pintor, Jennie Ponsford, Terence J. Quinn, Silje Endresen Rème, Katrin Reuter, Alasdair G Rooney, Roberto Sánchez, Marcelo Libório Schwarzbold, Vesile Şentürk Cankorur, Juwita Shaaban, Louise Sharpe, Michael Sharpe, Sébastien Simard, Susanne Singer, Lesley Stafford, Jon Stone, Serge Sultan, Antônio Lúcio Teixeira, István Tiringer, Alyna Turner, Jane Walker, Mark Walterfang, Liang‐Jen Wang, Jennifer White, Dana Wong, Andrea Benedetti, Brett D. Thombs
Bibliographic record
VenueJournal of Psychosomatic Research · 2019
Typereview
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineInstitut universitaire de cardiologie et de pneumologie de QuébecUniversity of TorontoUniversity Health NetworkHealth Sciences CentreMcGill UniversityMcGill University Health CentreJewish General HospitalSunnybrook Health Science CentreAlberta HealthUniversity of AlbertaInstitut Universitaire en Santé Mentale de QuébecAlberta Health ServicesUniversité du Québec à ChicoutimiOntario Brain InstituteUniversity of CalgaryConcordia University
FundersDepartament d'Universitats, Recerca i Societat de la InformacióComisión Nacional de Investigación Científica y TecnológicaMedical Research CouncilFonds de Recherche du Québec - SantéUniversität LeipzigIrish Cancer SocietyDeutsche KrebshilfeCumming School of Medicine, University of CalgaryFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaAustralian GovernmentUniversity of SydneyNorges ForskningsrådUniversiti Sains MalaysiaMcGill UniversityConselho Nacional de Desenvolvimento Científico e TecnológicoAlberta Health ServicesSociété Française de Dermatologie et de Pathologie Sexuellement TransmissibleMinistry of Health, Labour and WelfareChest Heart and Stroke ScotlandMultiple Sclerosis SocietyInstituto Nacional de Ciência e Tecnologia Translacional em MedicinaCanadian Prostate Cancer Research InitiativeMinistry of Education, Science and TechnologyMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungUniversiteit MaastrichtNational Science CouncilUniversity of CalgaryUniversity of MelbourneUniversità degli Studi di FerraraUniversität HeidelbergTransport Accident CommissionEuropean CommissionHealth Foundation LimburgAlberta InnovatesNational Research FoundationNational Institute for Health and Care ResearchWaikato Medical Research FoundationCanadian Institutes of Health ResearchMultiple Sclerosis Society of CanadaFundação de Amparo à Pesquisa do Estado de Minas GeraisAgencia de Innovación y Desarrollo de AndalucíaCanadian Breast Cancer Research AllianceInstituto de Salud Carlos IIINational Research Foundation of KoreaInstitut de recherche, Centre universitaire de santé McGillDeutsche RentenversicherungMinisterio de Sanidad, Consumo y Bienestar SocialMcGill University Health CentreAmerican Psychological AssociationHotchkiss Brain InstituteHunter Medical Research InstituteAlberta Innovates - Health SolutionsNational Health and Medical Research CouncilJewish General Hospital
KeywordsCIDIDepression (economics)PsychologyMeta-analysisAnxietyClinical psychologyScale (ratio)PsychometricsPsychiatryAnxiety disorderMedicineInternal medicineCartography
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 machine prediction
Teacher imitationNot 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)0.012
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.061
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.017 | 0.036 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 head0.696
GPT teacher head0.562
Teacher spread0.134 · 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 source (direct Gemma or distilled Codex), not a consensus.
Study designMeta-analysis
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
Citations50
Published2019
Admission routes2
Has abstractno