Evidence map›Paper›PMID 29532212›Full record

ReviewInflammopharmacology2018

Predicting methotrexate resistance in rheumatoid arthritis patients.

Mary Beth Yu, Anthony Firek, William H R Langridge

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Inflammopharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03516903 (Effect of Methotrexate Carried by a Lipid Nanoemulsion on Left Ventricular Remodeling After ST-elevation Myocardial Infarction), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03516903 phase2 / phase3terminatednot on this map

Effect of Methotrexate Carried by a Lipid Nanoemulsion on Left Ventricular Remodeling After ST-elevation Myocardial Infarction

TypeinterventionalSponsorUniversity of Sao PauloRan2018 to 2020Enrolled35ConditionsMyocardial Infarction, Anterior Wall, Myocardial Remodeling, VentricularArmsMethotrexate, Placebo, Folic Acid
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. A Three-Dimensional Co-Culture Model for Rheumatoid Arthritis Pannus Tissue.Frontiers in bioengineering and biotechnology · 2021
    Article
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Mary Beth YuDepartment of Basic Sciences, Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Anthony FirekSection of Endocrinology, Riverside University Health System Medical Center, Moreno Valley, CA, USA.
William H R LangridgeDepartment of Basic Sciences, Center for Health Disparities and Molecular Medicine, Loma Linda University School of Medicine, Loma Linda, CA, USA. blangridge@llu.edu.ORCID http://orcid.org/0000-0002-7636-7349
Loma Linda University · USRiverside University Health System - Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is an incurable, systemic autoimmune disease that decreases quality of life and can lead to severe disability. While there are many medications available to treat RA, the first-line of therapy is low-dose methotrexate (MTX), a small molecule disease-modifying anti-rheumatic drug (DMARD). MTX is the recommended therapy due to its affordability and efficacy in reducing symptoms in most RA patients. Unfortunately, there is great person-to-person variability in the physiological response to MTX, with up to 50% of patients showing little response to the medication. Thus, many RA patients initially placed on MTX do not experience an adequate reduction of symptoms, and could have benefited more in both the short and long terms if initially prescribed a different drug that was more effective for them. To combat this problem and better guide treatment decisions, many research groups have attempted to develop predictive tools for MTX response. Currently, there is no reliable, clinical-grade method to predict an individual's response to MTX treatment. In this review, we describe progress made in the area of MTX non-response/resistance in RA patients. We specifically focus on application of the following elements as predictive markers: proteins related to MTX transport and function, intracellular MTX concentration, immune cell frequencies, cytokines, and clinical factors.

Indexed as

AnimalsAntibodies, MonoclonalAntirheumatic AgentsArthritis, RheumatoidDrug ResistanceHumansImmunity, CellularInflammation MediatorsMethotrexatePredictive Value of TestsTreatment OutcomeAntibodies, MonoclonalAntirheumatic AgentsInflammation MediatorsMethotrexateMethotrexatePredictResistanceResponseRheumatoid arthritis

Identifiers

PMID29532212
OpenAlexW2789480986

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.