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Antimalarial Drugs Alone May Still Have a Role in Rheumatoid Arthritis

2015· article· en· W431165870 on OpenAlexaff
Ina Cusnir, Selina Dobing, Niall Jones, Anthony S. Russell

Bibliographic record

VenueJCR Journal of Clinical Rheumatology · 2015
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineRheumatoid arthritisAntirheumatic drugsDiseaseInternal medicineRetrospective cohort studyDrugSurgeryIntensive care medicineAntirheumatic AgentsPharmacology

Abstract

fetched live from OpenAlex

OBJECTIVES: Antimalarials have been used for the treatment of rheumatoid arthritis (RA) for several decades. Current guidelines do not include the use of these drugs alone for RA patients. The purpose of the study is to review RA patients, to find those who have done well on antimalarials alone, and see if there are common features that predict good treatment outcome with these drugs. METHODS: This is a retrospective chart review of patients who have been successfully treated with antimalarials alone. Patients who were attending routine follow-up and were seemingly in remission defined by no swollen or tender joints were selected over a 6-month period. Those who had being doing well but were now or had been on other agents were not included. The background data were reviewed to see if there were any common initial characteristics. RESULTS: Thirty-three patients were seen who had been administered antimalarials alone and where initial data were available. Patients remain in clinical remission. Based on clinical observation, inflammatory markers, and radiographic reports, in the follow-up visits, they remain with no signs of inflammation and no new erosions on radiograph. Initial bone erosions on 2 patients remain stable over the years. CONCLUSIONS: There are some patients with confirmed RA who without doubt respond well to antimalarials alone. It is hard to objectively measure whether mild disease activity, early treatment initiation, lack of smoking, or other factors are contributing to a good treatment response.

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 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)0.006
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.045
GPT teacher head0.378
Teacher spread0.333 · 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 designObservational
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

Citations4
Published2015
Admission routes1
Has abstractyes

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