Evidence map›Paper›PMID 29464673›Full record

ArticlePharmacoEconomics - open2018

Comparison of Disease-Modifying Therapies for the Management of Multiple Sclerosis: Analysis of Healthcare Resource Utilization and Relapse Rates from US Insurance Claims Data.

Jacqueline Nicholas, Aaron Boster, Ning Wu, Wei-Shi Yeh, Monica Fay, Jon Kendter, Ming-Yi Huang, Andrew Lee

Open access · goldAbstract read
In one paragraph

Article in PharmacoEconomics - open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Disease-modifying drugs for multiple sclerosis and subsequent health service use.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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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.

Jacqueline NicholasOhioHealth Multiple Sclerosis Center, Riverside Methodist Hospital, Columbus, OH, USA.
Aaron BosterOhioHealth Multiple Sclerosis Center, Riverside Methodist Hospital, Columbus, OH, USA.
Ning WuBiogen, 225 Binney Street, Cambridge, MA, 02142, USA.
Wei-Shi YehBiogen, 225 Binney Street, Cambridge, MA, 02142, USA.
Monica FayBiogen, 225 Binney Street, Cambridge, MA, 02142, USA.
Jon KendterBiogen, 225 Binney Street, Cambridge, MA, 02142, USA.
Ming-Yi HuangBiogen, 225 Binney Street, Cambridge, MA, 02142, USA.
Andrew LeeBiogen, 225 Binney Street, Cambridge, MA, 02142, USA. andrew.lee@biogen.com.
Biogen (United States) · USRiverside Methodist Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on comparative healthcare resource utilization and costs associated with the newer oral disease-modifying therapies (DMTs) for managing relapsing-remitting multiple sclerosis (MS) in routine clinical practice are limited. The purpose of this study was to estimate healthcare resource utilization, costs, and relapse rates in the year after initiating treatment with dimethyl fumarate (DMF), interferon (IFN)-β, glatiramer acetate (GA), teriflunomide, or fingolimod in routine clinical practice for patients with MS who did not receive a DMT in the previous year.

methodsPatients initiating DMF, IFNβ, GA, teriflunomide, or fingolimod were identified based on claims data from 2012 to 2015 in the Truven MarketScan Commercial Claims Databases (n = 4194). Healthcare resource utilization assessment included the proportion of patients who were hospitalized, or had emergency room (ER) or urgent care (UC) visits. Healthcare costs were estimated for 1 year before and 1 year after DMT initiation. Relapse episodes were identified based on a published claims-based algorithm and clinical input from the research investigators.

resultsAfter DMT initiation, significant reductions in the proportions of patients who were hospitalized or requiring ER/UC visits were observed in all patient cohorts (p < 0.001 and p < 0.05, respectively). Non-prescription medical costs decreased after DMT initiation, with the largest decrease observed in the DMF cohort (US$5761 reduction, p < 0.0001). Reductions in non-prescription medical costs were associated with decreased use of outpatient services and inpatient hospital stays, and have the potential to partially offset DMT costs.

conclusionsDMT initiation is associated with reductions in healthcare resource utilization and non-prescription medical costs in routine clinical practice.

Identifiers

PMID29464673
PMCPMC5820236
OpenAlexW2744488360

What OpenQuestion holds

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LicenceCC BY-NC
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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.