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Record W2076218729 · doi:10.1007/s00296-012-2619-6

Non-biologic disease-modifying antirheumatic drugs (DMARDs) improve pain in inflammatory arthritis (IA): a systematic literature review of randomized controlled trials

2013· review· en· W2076218729 on OpenAlexafffund
Amanda Steiman, Janet Pope, Heather Thiessen‐Philbrook, Lihua Li, Cheryl Barnabé, Fares Kalache, Tabitha Kung, Louis Bessette, Cathy Flanagan, Boulos Haraoui, Jacqueline Hochman, Sharon LeClercq, Dianne Mosher, Carter Thorne, Vivian P. Bykerk

Bibliographic record

VenueRheumatology International · 2013
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsWomen's College HospitalUniversité de MontréalHôpital Notre-DameWilfrid Laurier UniversityRockyview General HospitalUniversité LavalUniversity of CalgaryMount Sinai HospitalMontreal General HospitalLondon Health Sciences CentreMcGill UniversityUniversity Health NetworkSt. Joseph's HospitalUniversity of TorontoWestern UniversityUniversity of British ColumbiaToronto Western Hospital
FundersAbbott Canada
KeywordsMedicineInternal medicineSulfasalazinePsoriatic arthritisRheumatologyRheumatoid arthritisRandomized controlled trialAnkylosing spondylitisPhysical therapyMeta-analysisSystematic reviewMEDLINEDisease

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)0.029
metaresearch head score (Gemma)0.069
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0290.069
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0350.006
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.347
Teacher spread0.327 · 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.

Study designSystematic review
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

Citations33
Published2013
Admission routes2
Has abstractno

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