MétaCan
Menu
Back to cohort
Record W4390761684 · doi:10.1016/s2215-0366(23)00366-8

Efficacy and effectiveness of antipsychotics in schizophrenia: network meta-analyses combining evidence from randomised controlled trials and real-world data

2024· article· en· W4390761684 on OpenAlexfundno aff
Orestis Efthimiou, Heidi Taipale, Joaquim Raduà, Johannes Schneider‐Thoma, Justo Pinzón-Espinosa, María Ortuño, Christiaan H. Vinkers, Ellenor Mittendorfer‐Rutz, Narcı́s Cardoner, Antti O. Tanskanen, Paolo Fusar‐Poli, Andrea Cipriani, Eduard Vieta, Stefan Leucht, Jari Tiihonen, Jurjen J. Luykx

Bibliographic record

VenueThe Lancet Psychiatry · 2024
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
FundersCilagBiogenNIHR Oxford Biomedical Research CentreGedeon RichterHLS TherapeuticsInstituto de Salud Carlos IIINeuraxpharmSunovionCentres de Recerca de CatalunyaH. Lundbeck A/SEuropean Regional Development FundAngelini PharmaSigrid Juséliuksen SäätiöFondazione CariploVetenskapsrådetMinisterio de Ciencia e InnovaciónNational Institute for Health and Care ResearchGeneralitat de CatalunyaDepartament de Salut, Generalitat de CatalunyaAcademy of FinlandCasen RecordatiMinisterio de Ciencia, Innovación y UniversidadesNational Institute for Health and Care Research Applied Research Collaboration Oxford and Thames ValleyEli Lilly and Company
KeywordsRandomized controlled trialMedicineAntipsychoticSchizoaffective disorderSchizophrenia (object-oriented programming)Meta-analysisPopulationPsychiatryInternal medicinePsychosis

Abstract

fetched live from OpenAlex
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 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)0.051
metaresearch head score (Gemma)0.112
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 score0.976
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0510.112
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0240.057
Bibliometrics0.0070.006
Science and technology studies0.0010.002
Scholarly communication0.0060.005
Open science0.0040.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.341
GPT teacher head0.474
Teacher spread0.133 · 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.

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

Citations68
Published2024
Admission routes1
Has abstractno

Explore more

Same venueThe Lancet PsychiatrySame topicSchizophrenia research and treatmentFrench-language works237,207