Evidence map›Paper›PMID 32021340›Full record

ArticleClinicoEconomics and outcomes research : CEOR2020

Economic Outcomes Related to Persistence and Dosing of Celecoxib in Patients with Osteoarthritis (OA) Using a Retrospective Claims Database Analysis.

Courtney Johnson, Jennifer Stephens, Christopher Walker, Joseph C Cappelleri, Ahmed Shelbaya

Open access · goldAbstract read
In one paragraph

Article in ClinicoEconomics and outcomes research : CEOR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 3 institutions in 2 countries.

Courtney JohnsonPharmerit International, Real World Evidence and Data Analytics, Bethesda, MD, USA.
Jennifer StephensPharmerit International, Real World Evidence and Data Analytics, Bethesda, MD, USA.
Christopher WalkerPfizer Ltd., Global Medical Affairs, Tadworth, Surrey, England.
Joseph C CappelleriPfizer Inc., Statistics, Groton, CT, USA.ORCID 0000-0001-9586-0748
Ahmed ShelbayaPfizer Inc., Health Economics and Outcomes Research, New York, NY, USA.
Pfizer (United States) · USPharmerit (United States) · USPfizer (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study describes treatment patterns, healthcare resource utilization (HCRU), and costs associated with persistence, switching, and dosing of branded celecoxib in osteoarthritis (OA) patients.

methodsThis retrospective claims database analysis used MarketScan

resultsA total of 65,530 patients met the inclusion criteria. During follow-up, 83% discontinued celecoxib without switching, 10% were persistent, and 5% switched to a generic NSAID. Ninety percent received a standard dose of celecoxib. Switched (versus persistent) patients had significantly higher all-cause hospital admissions, length of stay, emergency room (ER) visits, and office visits per person year (PPY), all

conclusionPatients that switched from branded celecoxib to a generic NSAID or received an under-dose of branded celecoxib had higher average overall HCRU and costs. OA-related inpatient and outpatient cost savings may offset the higher drug cost of celecoxib for persistent patients.

Indexed as

Celebrexdiscontinuationgenerichealthcare resource useNSAIDSswitching

Identifiers

PMID32021340
PMCPMC6982435
OpenAlexW2998735191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.