Evidence map›Paper›PMID 40888174›Full record

ReviewFuture oncology (London, England)2025

Finding the right tool for the specific task: navigating RWE tools and checklists.

Richard Willke, Paul Cottu, Andrew Briggs, Uwe Siebert, Connie Chen, Beata Korytowsky, Julien Heidt, Meghan Renfrow, Kate Lovett, Adam Brufsky

Abstract readReview
In one paragraph

Review in Future oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Richard WillkeScintegral Health Economics LLC, Soddy Daisy, TN, USA.
Paul CottuDepartment of Medical Oncology, Institut Curie, Paris, France.
Andrew BriggsDepartment of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, London, UK.
Uwe SiebertInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT TIROL - University for Health Sciences and Technology, Hall in Tirol, Austria.
Connie ChenOncology, Pfizer, New York, NY, USA.
Beata KorytowskyOncology, Pfizer, New York, NY, USA.
Julien HeidtReal World Solutions, IQVIA, Durham, NC, USA.
Meghan RenfrowReal World Solutions, IQVIA, Durham, NC, USA.
Kate LovettReal World Solutions, IQVIA, Durham, NC, USA.
Adam BrufskyDepartment of Medicine, Division of Hematology/Oncology, University of Pittsburg Medical Center, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world evidence (RWE) is increasingly used to support product approvals and label expansions, as well as clinical and payer decision-making. Various tools (e.g. frameworks, checklists) have been developed to help inform and assess the robustness and quality of real-world study design and reporting. This targeted review provides a practical guide for leveraging these tools to increase awareness and utility for decision-makers. A pre-defined search strategy was applied to identify articles from PubMed. Articles published from 1 January 2020, through 4 October 2024 were included and reviewed to identify relevant tools aimed at assessing RWE study planning, reporting, or quality assessment. Key information regarding each was extracted and summarized including strengths, limitations, and included domains. 119 articles were initially identified, of which 15 were included after screening, referencing a total of 17 tools. These 17 tools varied in format and structure, ranging from detailed guidelines and templates to checklists and questionnaires. Utility and application of the tools identified in this targeted review vary across the evaluation of study planning, reporting, and quality. Selection of the appropriate tool depends on several factors including intended purpose of the tool, intended real-world study design, and the availability of study documentation.

Indexed as

ChecklistEvidence-Based MedicineResearch DesignHumanschecklistsdecision-making toolsframeworkshealth technology assessmentpayer decision-makingreal-world dataReal-world evidencereporting standards

Identifiers

PMID40888174
PMCPMC12490408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.