Evidence map›Paper›PMID 30552652›Full record

ArticlePharmacoEconomics - open2019

The Role of Real-World Evidence in UK Reimbursement: Case Study of Lenalidomide in Myelodysplastic Syndrome Deletion 5q.

Dawn Lee, Nic Brereton, Sujith Dhanasiri, Austin Kulasekararaj

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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. Article
  2. The quality of research with real-world evidence.Colombia medica (Cali, Colombia) · 2019
    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

4 authors.

Dawn LeeBresMed, North Church House, 84 Queen Street, Sheffield, S1 2DW, UK. dlee@bresmed.com.
Nic BreretonBresMed, North Church House, 84 Queen Street, Sheffield, S1 2DW, UK.
Sujith DhanasiriCelgene International, Boudry, Switzerland.
Austin KulasekararajKing's College Hospital National Health Service Foundation Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUncertainty within cost-effectiveness analysis, often driven by lack of mature data from large clinical trials, plays a key role in decisions made by the National Institute for Health and Care Excellence (NICE), particularly for early access medicines and orphan drugs.

objectivesIn this case study, we used real-world evidence to address the uncertainty in the cost-effectiveness case for lenalidomide in transfusion-dependent low- and intermediate-1-risk myelodysplastic syndrome (MDS) deletion 5q [del(5q)], affecting a small but unique subpopulation with an orphan disease.

methodsAs part of a submission to NICE, we developed a cost-effectiveness model for lenalidomide, resulting in eventual recommendation.

resultsDue to data limitations within the trial evidence available, the model was based on surrogate outcomes supported by a disease-wide literature review. The validity of modelled estimates for critical long-term outcomes in terms of time on treatment (32% reaching 26 cycles when the patient access scheme applied in the model vs. 28% in the real-world data) and survival was confirmed using real-world evidence (projected median survival for best supportive care of 4.3 years vs. real-world evidence showing median survival with low- and intermediate-1-risk MDS of 5.7 and 3.5 years, respectively).

conclusionThis case study demonstrates the usefulness and relevance of the application of real-world data when trial data are limited.

Identifiers

PMID30552652
PMCPMC6710314

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.