Evidence map›Paper›PMID 36826104›Full record

ReviewCurrent oncology (Toronto, Ont.)2023

Harnessing Real-World Evidence to Advance Cancer Research.

Monica Tang, Sallie-Anne Pearson, Robert J Simes, Boon H Chua

Abstract readReview
In one paragraph

Review in Current oncology (Toronto, Ont.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Phase II Trial of Nivolumab Plus Doxorubicin, Vinblastine, Dacarbazine as Frontline Therapy in Older Adults With Hodgkin Lymphoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
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  18. Real-world data and evidence: pioneering frontiers in precision oncology.Journal of Zhejiang University. Science. B · 2025
    Review
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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

4 authors.

Monica TangNelune Comprehensive Cancer Centre, Prince of Wales Hospital, Randwick 2031, Australia.
Sallie-Anne PearsonSchool of Population Health, UNSW Sydney, Sydney 2052, Australia.
Robert J SimesNHMRC Clinical Trials Centre, University of Sydney, Camperdown 2050, Australia.
Boon H ChuaNelune Comprehensive Cancer Centre, Prince of Wales Hospital, Randwick 2031, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized controlled trials (RCTs) form a cornerstone of oncology research by generating evidence about the efficacy of therapies in selected patient populations. However, their implementation is often resource- and cost-intensive, and their generalisability to patients treated in routine practice may be limited. Real-world evidence leverages data collected about patients receiving clinical care in routine practice outside of clinical trial settings and provides opportunities to identify and address gaps in clinical trial evidence. This review outlines the strengths and limitations of real-world and RCT evidence and proposes a framework for the complementary use of the two bodies of evidence to advance cancer research. There are challenges to the implementation of real-world research in oncology, including heterogeneity of data sources, timely access to high-quality data, and concerns about the quality of methods leveraging real-world data, particularly causal inference. Improved understanding of the strengths and limitations of real-world data and ongoing efforts to optimise the conduct of real-world evidence research will improve its reliability, understanding and acceptance, and enable the full potential of real-world evidence to be realised in oncology practice.

Indexed as

Medical OncologyNeoplasmsHumansInformation SourcesResearchobservational studyoncologyrandomized controlled trialsreal-world evidence

Identifiers

PMID36826104
PMCPMC9955401

What OpenQuestion holds

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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.