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Record W2594245371 · doi:10.3899/jrheum.130738

Folic Acid and Folinic Acid for Reducing Side Effects in Patients Receiving Methotrexate for Rheumatoid Arthritis

2014· review· en· W2594245371 on OpenAlexaffvenue
Beverley Shea, Michael V. Swinden, Elizabeth Tanjong Ghogomu, Zulma Ortiz, Wanruchada Katchamart, Tamara Rader, Claire Bombardier, George A. Wells, Peter Tugwell

Bibliographic record

VenueThe Journal of Rheumatology · 2014
Typereview
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsOttawa HospitalInstitute for Work & HealthInstitute of Population and Public HealthCochraneBruyèreUniversity of Ottawa
Fundersnot available
KeywordsFolinic acidMedicineMethotrexateRheumatoid arthritisPlaceboInternal medicineClinical trialRandomized controlled trialRelative riskGastroenterologyChemotherapyConfidence intervalFluorouracilPathologyAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To perform a systematic review of the benefits and harms of folic acid and folinic acid in reducing the mucosal, gastrointestinal, hepatic, and hematologic side effects of methotrexate (MTX); and to assess whether folic or folinic acid supplementation has any effect on MTX benefit. METHODS: We searched the Cochrane Library, MEDLINE, EMBASE, and US National Institutes of Health clinical trials registry from inception to March 2012. We selected all double-blind, randomized, placebo-controlled clinical trials in which adult patients with rheumatoid arthritis (RA) were treated with MTX (dose ≤ 25 mg/week) concurrently with folate supplementation. We included only trials using low-dose folic or folinic acid (a starting dose of ≤ 7 mg weekly) because the high dose is no longer recommended or used. Data were extracted from the trials, and the trials were independently assessed for risk of bias using a predetermined set of criteria. RESULTS: Six trials with 624 patients were eligible for inclusion. Most studies had low or unclear risk of bias for key domains. The quality of the evidence was rated as "moderate" for each outcome as assessed by the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) working group, with the exception of hematologic side effects, which were rated as "low." There was no significant heterogeneity between trials, including where folic acid and folinic acid studies were pooled. For patients supplemented with any form of exogenous folate (either folic or folinic acid) while receiving MTX therapy for RA, a 26% relative (9% absolute) risk reduction was seen for the incidence of gastrointestinal side effects such as nausea, vomiting, or abdominal pain (RR 0.74, 95% CI 0.59 to 0.92; p = 0.008). Folic and folinic acid also appear to be protective against abnormal serum transaminase elevation caused by MTX, with a 76.9% relative (16% absolute) risk reduction (RR 0.23, 95% CI 0.15 to 0.34; p < 0.00001), as well as reducing patient withdrawal from MTX for any reason [60.8% relative (15.2% absolute) risk reduction, RR 0.39, 95% CI 0.28 to 0.53; p < 0.00001]. CONCLUSION: The results support a protective effect of supplementation with either folic or folinic acid for patients with RA during treatment with MTX. There was a clinically important significant reduction shown in the incidence of GI side effects and hepatic dysfunction (as measured by elevated serum transaminase levels), as well as a clinically important significant reduction in discontinuation of MTX treatment for any reason.

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)0.011
metaresearch head score (Gemma)0.038
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 score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.038
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.008
Bibliometrics0.0080.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0030.001
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 head0.035
GPT teacher head0.362
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 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

Citations199
Published2014
Admission routes2
Has abstractyes

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