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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 distilled prediction

Teacher imitation

Not 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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.341
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

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