Evidence map›Paper›PMID 28506320›Full record

Observational studyArthritis research & therapy2017

Costs associated with failure to respond to treatment among patients with rheumatoid arthritis initiating TNFi therapy: a retrospective claims analysis.

Michael Grabner, Natalie N Boytsov, Qing Huang, Xiang Zhang, Tingjian Yan, Jeffrey R Curtis

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Arthritis research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Article
  13. Article
  14. 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

6 authors at 4 institutions in 1 country.

Michael GrabnerHealthCore, Inc., 123 Justison Street, Suite 200, Wilmington, DE, 19801, USA. mgrabner@healthcore.com.
Natalie N BoytsovEli Lilly & Company, Indianapolis, IN, USA.
Qing HuangHealthCore, Inc., 123 Justison Street, Suite 200, Wilmington, DE, 19801, USA.
Xiang ZhangEli Lilly & Company, Indianapolis, IN, USA.
Tingjian YanPhar LLC, Beverly Hills, CA, USA.
Jeffrey R CurtisDivision of Clinical Immunology and Rheumatology, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA.
Eli Lilly (United States) · USWilmington University · USPartnership for Health Analytic Research · USUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor necrosis factor inhibitors (TNFi) are common second-line treatments for rheumatoid arthritis (RA). This study was designed to compare the real-world clinical and economic outcomes between patients with RA who responded to TNFi therapy and those who did not.

methodsFor this retrospective cohort analysis we used medical and pharmacy claims from members of 14 large U.S. commercial health plans represented in the HealthCore Integrated Research Database. Adult patients (aged ≥18 years) diagnosed with RA and initiating TNFi therapy (index date) between 1 January 2007 and 30 April 2014 were included in the study. Treatment response was assessed using a previously developed and validated claims-based algorithm. Patients classified as treatment responders in the 12 months postindex were matched 1:1 to nonresponders on important baseline characteristics, including sex, age, index TNFi agent, and comorbidities. The matched cohorts were then compared on their all-cause and RA-related healthcare resource use, and costs were assessed from a payer perspective during the first, second, and third years postindex using parametric tests, regressions, and a nonparametric bootstrap.

resultsA total of 7797 patients met the study inclusion criteria, among whom 2337 (30%) were classified as treatment responders. The responders had significantly lower all-cause hospitalizations, emergency department visits, and physical/occupational therapy visits than matched nonresponders during the first-year postindex. Mean total all-cause medical costs were $5737 higher for matched nonresponders, largely driven by outpatient visits and hospitalizations. Mean all-cause pharmacy costs (excluding costs of biologics) were $354 higher for matched nonresponders. Mean RA-related pharmacy costs (conventional synthetic and biologic drugs), however, were $8579 higher in the responder cohort, driven by higher adherence to their index TNFi agent (p < 0.01 for all comparisons). A similar pattern of cost differentiation was observed over years 2 and 3 of follow-up.

conclusionsIn this real-world study we found that, compared with matched nonresponders, patients who responded to TNFi treatments had lower all-cause medical, pharmacy, and total costs (excluding biologics) up to 3 years from initiation of TNFi therapy. These cost differences between the two cohorts provide a considerable offset to the cost of RA medications and should encourage close monitoring of treatment response to minimize disease progression with appropriate therapy choices.

Indexed as

Health Care CostsAdalimumabAdultAntirheumatic AgentsArthritis, RheumatoidCohort StudiesFemaleFollow-Up StudiesHumansInsurance Claim ReviewLongitudinal StudiesMaleMiddle AgedRetrospective StudiesTreatment FailureTreatment OutcomeAdalimumabAntirheumatic AgentsTumor Necrosis Factor-alphaBiologicHealthcare costsHealthcare resource useReal-world observational studyRheumatoid arthritisTreatment response

Identifiers

PMID28506320
PMCPMC5433023
OpenAlexW2616461424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.