Evidence map›Paper›PMID 30026923›Full record

ArticleF1000Research2018

Real world evidence (RWE) - a disruptive innovation or the quiet evolution of medical evidence generation?

Sajan Khosla, Robert White, Jesús Medina, Mario Ouwens, Cathy Emmas, Tim Koder, Gary Male, Sandra Leonard

Abstract read
In one paragraph

Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 6 pooled it
–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

70 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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10 more citing papers are in PubMed but not listed here.

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.

Sajan KhoslaAstraZeneca Academy House, Cambridge, CB2 1PG, UK.
Robert WhiteAstraZeneca, Gaithersburg, MD, 20878, USA.
Jesús MedinaAstraZeneca, Madrid, 28033, Spain.
Mario OuwensAstraZeneca AB R&D, Mölndal, 431 50, Sweden.
Cathy EmmasAstraZeneca, Luton, LU1 3LU, UK.
Tim KoderOxford PharmaGenesis, Tubney Warren Barn, Tubney, Abingdon, OX13 5QJ, UK.
Gary MaleOxford PharmaGenesis, Tubney Warren Barn, Tubney, Abingdon, OX13 5QJ, UK.
Sandra LeonardAstraZeneca, Gaithersburg, MD, 20878, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stakeholders in healthcare are increasingly turning to real world evidence (RWE) to inform their decisions, alongside evidence from randomized controlled trials. RWE is generated by analysing data gathered from routine clinical practice, and can be used across the product lifecycle, providing insights into areas including disease epidemiology, treatment effectiveness and safety, and health economic value and impact. Recently, the US Food and Drug Administration and the European Medicines Agency have stated their ambition for greater use of RWE to support applications for new indications, and are now consulting with their stakeholders to formalize standards and expected methods for generating RWE. Pharmaceutical companies are responding to the increasing demands for RWE by developing standards and processes for each stage of the evidence generation pathway. Some conventions are already in place for assuring quality, whereas other processes are specific to the research question and data sources available. As evidence generation increasingly becomes a core role of medical affairs divisions in large pharmaceutical companies, standards of rigour will continue to evolve and improve. Senior pharmaceutical leaders can drive this change by making RWE a core element of their corporate strategy, providing top-level direction on how their respective companies should approach RWE for maximum quality. Here, we describe the current and future areas of RWE application within the pharmaceutical industry, necessary access to data to generate RWE, and the challenges in communicating RWE. Supporting and building on viewpoints from industry and publicly funded research, our perspective is that at each stage of RWE generation, quality will be critical to the impact that RWE has on healthcare decision-makers; not only where RWE is an established and evolving tool, but also in new areas that have the potential to disrupt and to improve drug development pathways.

Indexed as

Decision MakingAmyotrophic Lateral SclerosisDatabases, FactualDelivery of Health CareDrug IndustryEvidence-Based MedicineHealth Care SectorHumansPulmonary Disease, Chronic ObstructiveTreatment OutcomeDrug Discovery methodsDrug Industry methodsReal world evidence

Identifiers

PMID30026923
PMCPMC6039945

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.