Evidence map›Paper›PMID 30464373›Full record

ReviewDer Onkologe : Organ der Deutschen Krebsgesellschaft e.V2018

Real-world evidence research based on big data: Motivation-challenges-success factors.

Benedikt E Maissenhaelter, Ashley L Woolmore, Peter M Schlag

Abstract readReview
In one paragraph

Review in Der Onkologe : Organ der Deutschen Krebsgesellschaft e.V, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  8. Generalizability in real-world trials.Clinical and translational science · 2024
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  15. Observational
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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

3 authors.

Benedikt E MaissenhaelterIQVIA (formerly Quintiles & IMS Health), Landshuter Allee 10, 80637 Munich, Germany.
Ashley L Woolmore2IQVIA (formerly Quintiles & IMS Health), Paris, France.
Peter M Schlagc/o Charité Comprehensive Cancer Center, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years there has been an increasing, partially also critical interest in understanding the potential benefits of generating real-world evidence (RWE) in medicine.

objectivesThe benefits and limitations of RWE in the context of randomized controlled trials (RCTs) are described along with a view on how they may complement each other as partners in the generation of evidence for clinical oncology. Moreover, challenges and success factors in building an effective RWE network of cooperating cancer centers are analyzed and discussed. MATERIAL AND

methodsThis article is based on a selective literature search (predominantly 2015-2017) combined with our practical experience to date in establishing European oncology RWE networks.

resultsRWE studies can be highly valuable and complementary to RCTs due to their high external validity. If cancer centers successfully address the various challenges in the establishment of an effective RWE study network and in the consequent execution of studies, they may efficiently generate high-quality research findings on treatment effectiveness and safety. Concerns pertaining to data privacy are of utmost importance and discussed accordingly. Securing data completeness, accuracy, and a common data structure on routinely collected disease and treatment-related data of patients with cancer is a challenging task that requires high engagement of all participants in the process.

conclusionBased on the discussed prerequisites, the analysis of comprehensive and complex real-world data in the context of a RWE study network represents an important and promising complementary partner to RCTs. This enables research into the general quality of cancer care and can permit comparative effectiveness studies across partner centers. Moreover, it will provide insights into a broader optimization of cancer care, refined therapeutic strategies for patient subgroups as well as avenues for further research in oncology.

Indexed as

Evidence networkNetwork of cancer centersOutcome researchQuality of careReal-world data

Identifiers

PMID30464373
PMCPMC6224010

What OpenQuestion holds

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Registered trials

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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.