Evidence map›Paper›PMID 37431430›Full record

ReviewTherapeutic advances in medical oncology2023

Clinical trial reform in the post-COVID era.

Meghan E Mahoney, Srikala S Sridhar

Abstract readReview
In one paragraph

Review in Therapeutic advances in medical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

2 authors.

Meghan E MahoneyDepartment of Medical Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.
Srikala S SridharDivision of Medical Oncology, Princess Margaret Cancer Center, University of Toronto, 7-625 OPG, 610 University Avenue, Toronto, ON, Canada, M5G 2M9.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic precipitated the acute and efficient rollout of telehealth and virtual health care around the world. This review article focuses on the adoption of virtual care in the management of oncology patients, and discusses how virtual care offers the potential for large-scale, positive impacts on access to clinical trials. Virtual care during and following the peak of the pandemic has been found to be both safe and efficacious for oncology patients. Features, such as wearable health technologies, remote monitoring, home visits, and investigations being done closer to home, represent just some of the strengths of the virtual assessment rollout that were successfully utilized. One of the primary criticisms of oncological clinical trials is that clinical trial participants are not always representative of the patient populations treated in routine practice. This is in part due to stringent inclusion criteria and more broadly pertains to a lack of access to clinical trials, many of which are geographic as most trials are conducted in an urban, academic, or 'centralized' center. This paper seeks to discuss the barriers to clinical trial participation and to propose that the virtual care transformation that occurred during the pandemic has equipped oncological clinicians and researchers with the tools to better address these obstacles. A review of the literature on the impact of the virtual care rollout during and after the peak of the COVID-19 pandemic both locally and abroad was conducted. It is proposed that improving patient access through the decentralization of clinical trials has the potential to enhance evidence-based, real-world data, and to produce generalizable trial results that ultimately improve patient outcomes.

Indexed as

clinical trialdecentralizeoncologyreal-world patient datavirtual

Identifiers

PMID37431430
PMCPMC10331111

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.