Evidence map›Paper›PMID 25943001›Full record

ArticleJournal of managed care & specialty pharmacy2015

Factors associated with the initiation of biologic disease-modifying antirheumatic drugs in Texas Medicaid patients with rheumatoid arthritis.

Gilwan Kim, Jamie C Barner, Karen Rascati, Kristin Richards

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Health Disparities in Rheumatology in the United States.Open access rheumatology : research and reviews · 2025
    Review
  5. Pharmacogenomics of TNF inhibitors.Frontiers in immunology · 2025
    Review
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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

4 authors at 2 institutions in 1 country.

Gilwan Kimhe University of Texas, 2409 University Ave., STOP A1930, Austin, TX 78712-1120. jbarner@austin.utexas.edu.
Jamie C Barner
Karen Rascati
Kristin Richards
Austin College · USThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is a progressive autoimmune disorder of joints that is associated with high health care costs, yet guidance is lacking on how early to initiate biologic disease-modifying antirheumatic drugs (DMARDs), a class of medications that is the major cost driver in RA management. Few studies have examined the factors associated with the transition from nonbiologic DMARDs, the first-line therapy for RA, to biologic DMARDs in RA patients.

objectiveTo examine patient sociodemographics, medication use patterns, and clinical characteristics associated with initiation of biologic DMARDs.

methodsThis was a retrospective study using the Texas Medicaid prescription and medical claims database from July 1, 2003-December 31, 2010. Adults (aged 18-63 years) with an RA diagnosis (ICD-9-CM code 714.xx), no nonbiologic DMARD or biologic DMARD use during the 6-month pre-index period, and a minimum of 2 prescription claims for the same nonbiologic DMARD during the post-index period were included in the study. The index date was defined as the date when the first nonbiologic DMARD claim was made. Predictors of initiation of biologic DMARDs were age, gender, race, adherence (proportion of days covered), persistence to nonbiologic DMARDs, comorbidity (Charlson Comorbidity Index [CCI]), pain medication use, glucocorticoid use, and rheumatologist visit. Logistic regression was used to examine the factors associated with the initiation of biologic DMARDs.

resultsA total of 2,714 patients were included. After controlling for patient characteristics, logistic regression showed, that compared with methotrexate (MTX) users, sulfasalazine (SSZ) and hydroxychloroquine (HCQ) users were less likely to initiate biologic DMARDs by 69.0% (OR = 0.310, 95% CI = 0.221-0.434, P  less than  0.0001) and 79.9% (OR = 0.201, 95% CI = 0.152-0.265, P  less than  0.0001), respectively. Nonbiologic DMARD dual therapy users were 39.1% less likely to initiate biologic DMARDs compared with nonbiologic DMARD monotherapy users (OR = 0.609, 95% CI = 0.463-0.803, P = 0.0004). With each year increase in age, patients were 1.6% less likely to start biologic DMARDs (OR = 0.984, 95% CI = 0.975-0.993, P = 0.0006). Compared with glucocorticoid users, glucocorticoid nonusers were 53.8% less likely to start on biologic DMARDs (OR = 0.462, 95% CI = 0.372-0.573, P  less than  0.0001). Patients with CCI scores of ≥ 3 were approximately 1.6 times more likely to initiate biologic DMARDs than those with CCI scores of 1 (OR = 1.618, 95% CI = 1.228-2.132, P = 0.0006).

conclusionsYounger age, CCI scores ≥3, glucocorticoid use, MTX users (vs. SSZ and HCQ users), and nonbiologic DMARD monotherapy users (vs. dual therapy users) were significantly associated with higher likelihood to initiate biologic DMARDs. Recognizing these potential factors that drive the initiation of biologic DMARDs in this patient population, health care providers and Texas Medicaid should take measures to achieve optimal therapy for RA patients through thorough RA medication evaluation, well-structured RA monitoring programs, and patient education.

Indexed as

AdolescentAdultAntirheumatic AgentsArthritis, RheumatoidBiological ProductsFemaleHumansLogistic ModelsMaleMedicaidMiddle AgedRetrospective StudiesTexasUnited StatesYoung AdultAntirheumatic AgentsBiological Products

Identifiers

PMID25943001
PMCPMC10397832
OpenAlexW2105840591

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.