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Record W2325795365 · doi:10.3899/jrheum.120337

The Role of Corticosteroids for Pain Relief in Persistent Pain of Inflammatory Arthritis: A Systematic Literature Review

2012· review· en· W2325795365 on OpenAlexvenueno aff
Ingo H. Tarner, Matthias Englbrecht, Matthias Schneider, D. M. van der HEIJDE, Ulf Müller‐Ladner

Bibliographic record

VenueJournal of Rheumatology Supplement · 2012
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCochrane LibraryRheumatismSystematic reviewRheumatologyMEDLINEPhysical therapyArthritisRandomized controlled trialAlternative medicineIntensive care medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To conduct a systematic review of the available literature addressing the effectiveness, safety, and role of corticosteroids for pain relief in persistent pain of inflammatory arthritis (IA), as part of the international 3e (Evidence, Expertise, Exchange) Initiative. METHODS: A systematic literature research (SLR) was carried out in Medline, Embase, the Cochrane Library, and the American College of Rheumatology/European League Against Rheumatism meeting abstracts, searching for studies evaluating the use of steroids for the treatment of residual pain in IA despite adequate antiinflammatory therapy. RESULTS: Of 3887 references retrieved by SLR, 2 randomized controlled studies and 35 review articles underwent full-text review. No article was found to adequately address the research question. CONCLUSION: No data on the efficacy and safety of systemic corticosteroids in residual pain in IA could be identified from the literature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.009
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.010
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.006
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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.

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

Citations10
Published2012
Admission routes1
Has abstractyes

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