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Record W1881645841 · doi:10.1002/14651858.cd003785

Infliximab for the treatment of rheumatoid arthritis

2002· review· en· W1881645841 on OpenAlexaff
Barbara BTB Blumenauer, Maria Judd, George A. Wells, Amanda Burls, Ann Cranney, Marc C. Hochberg, Peter Tugwell, María A. López-Olivo

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2002
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsInstitute of Population and Public HealthUniversity of OttawaCanadian Foundation for Healthcare ImprovementOttawa HospitalKamloops Art Gallery
Fundersnot available
KeywordsInfliximabMedicineRheumatoid arthritisInternal medicinePlaceboRheumatismRandomized controlled trialEtanerceptClinical trialSurgeryPhysical therapyDiseasePathologyAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Infliximab is a human murine chimeric anti-tumour necrosis factor alpha monoclonal antibody recently approved for the treatment of refractory RA. OBJECTIVES: To assess the efficacy and safety of infliximab for the treatment of rheumatoid arthritis. SEARCH STRATEGY: Electronic databases including Biological Abstracts, CINAHL, Current Contents, Dissertation Abstracts, EBM Reviews, HealthSTAR and MEDLINE were searched from 1966 to March 2002. Rheumatoid arthritis was searched as an exploded MESH heading. Infliximab was searched as a text word as it is not currently indexed. The search was not limited by language, year of publication or type of publication. The specific search strategy is shown below. SELECTION CRITERIA: All randomized controlled trials comparing infliximab 1, 3, 5 or 10 mg/kg with methotrexate(MTX) to MTX alone, or without MTX to placebo, with a minimum duration of 6 months and at least 2 infusions were eligible. DATA COLLECTION AND ANALYSIS: Data was extracted by 2 independent reviewers and the methodological quality of the trials was assessed using a validated assessment tool scale. Outcome variables included the ACR core set of disease activity measures for RA clinical trials and radiographic outcome data. Withdrawals and toxicity were also included. End of trial results were pooled. Continuous data were pooled using weighted mean differences and dichotomous data using relative risks. MAIN RESULTS: Two trials with a total of 529 patients met the inclusion criteria. Patients fulfilling the American Rheumatism Association 1987 RA diagnostic criteria were randomized to receive either infliximab 1mg/kg (with and without MTX), 3mg/kg(with and without MTX), 10mg/kg of infliximab (with and without MTX) or placebo infusion plus MTX. Infusions were given every 4 or 8 weeks. After 6 months ACR 20, ACR 50 and ACR 70 response rates were significantly improved in all infliximab doses compared to control. The number needed to treat with infliximab to achieve an ACR 20, 50 or 70 response in patients with refractory RA under specialist care ranged from 2.9 to 3.3 for ACR 20, 3.6 to 4.8 for ACR 50 and 5.9 to 12.5 for ACR 70 depending on the dose (3mg/kg or 10mg/kg given either every 4 or 8 weeks). Total withdrawals and withdrawals due to lack of efficacy were lower for all doses of infliximab versus controls. Withdrawals for adverse events and withdrawals for other reasons were not statistically significantly different for those receiving infliximab from control. REVIEWER'S CONCLUSIONS: Treatment with infliximab for 6 and 12 months significantly reduces RA disease activity and appeared to have an acceptable safety profile in these trials. Total radiographic scores improved, fewer patients showed radiographic progression, and more patients showed radiographic improvement with infliximab treatment at 12 months compared to controls. However, only 2 trials met the inclusion criteria, and these results are largely driven by the largest trial. The available efficacy and toxicity data is relatively short-term (6-12 months). In order to detect rare events that may be associated with infliximab, larger and longer term studies are required.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.498
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.133
GPT teacher head0.391
Teacher spread0.258 · 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

Citations128
Published2002
Admission routes1
Has abstractyes

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