Evidence map›Paper›PMID 25803765›Full record

ArticleJournal of managed care & specialty pharmacy2015

Cost and effectiveness of biologics for rheumatoid arthritis in a commercially insured population.

Jeffrey R Curtis, Benjamin Chastek, Laura Becker, Caroleen Quach, David J Harrison, Huifeng Yun, George J Joseph, David H Collier

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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Jeffrey R CurtisUniversity of Alabama, Faculty Office Tower 820, 510 20th St. South, Birmingham, AL 35294. jcurtis@uab.edu.
Benjamin Chastek
Laura Becker
Caroleen Quach
David J Harrison
Huifeng Yun
George J Joseph
David H Collier
University of Alabama at Birmingham · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdministrative claims contain detailed medication, diagnosis, and procedure data, but the lack of clinical outcomes for rheumatoid arthritis (RA) historically has limited their use in comparative effectiveness research. A claims-based algorithm was developed and validated to estimate effectiveness for RA from data for adherence, dosing, and treatment modifications.

objectiveTo implement the claims-based algorithm in a U.S. managed care database to estimate biologic cost per effectively treated patient.

methodsThe cohort included patients with RA aged 18-63 years in the Optum Research Database who initiated biologic treatment between January 2007 and December 2010 and were continuously enrolled 6 months before through 12 months after the first claim for the biologic (the index date). Patients were categorized as effectively treated by the claims-based algorithm if they met all of the following 6 criteria in the 12-month post-index period: (1) a medication possession ratio ≥ 80% for subcutaneous biologics, or at least as many infusions as specified in U.S. labeling for intravenous biologics; (2) no increase in biologic dose; (3) no switch in biologics; (4) no new nonbiologic disease-modifying antirheumatic drug; (5) no new or increased oral glucocorticoid treatment; and (6) no more than 1 glucocorticoid injection. Drug costs (all biologics) and administration costs (intravenous biologics) were obtained from allowed amounts on claims. Biologic cost per effectively treated patient was defined as total 1-year biologic cost divided by the number of patients categorized by the algorithm as effectively treated with that index biologic. Sensitivity analysis was conducted to examine the total health care costs per effectively treated patient during the first year of biologic therapy.

resultsA total of 5,474 individuals were included in the analysis. The index biologic was categorized as effective by the algorithm for 28.9% of patients overall, including 30.6% for subcutaneous biologics and 22.1% for intravenous biologics. The index biologic was categorized as effective in the first year for 32.7% of etanercept (794/2,425), 32.3% of golimumab (40/124), 30.2% of abatacept (89/295), 27.7% of adalimumab (514/1,857), and 19.0% of infliximab (147/773) patients. Mean 1-year biologic cost per effectively treated patient, as defined in the algorithm, was lowest for etanercept ($43,935), followed by golimumab ($49,589), adalimumab ($52,752), abatacept ($62,300), and infliximab ($101,402). The rank order in the sensitivity analysis was the same, except for golimumab and etanercept.

conclusionsUsing a claims-based algorithm in a large commercial claims database, etanercept was the most effective and had the lowest biologic cost per effectively treated patient with RA.

Indexed as

AdolescentAdultAntirheumatic AgentsArthritis, RheumatoidBiological ProductsCohort StudiesCost-Benefit AnalysisFemaleHumansInsurance Claim ReviewMaleManaged Care ProgramsMiddle AgedYoung AdultAntirheumatic AgentsBiological Products

Identifiers

PMID25803765
PMCPMC10398240
OpenAlexW2237024010

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.