Evidence map›Paper›PMID 39487922›Full record

ArticleDrugs - real world outcomes2024

A Pilot Study on the Collection of Adverse Event Data from the Patient Using an Electronic Platform in a Cancer Clinical Trial Unit.

Minna Grahvendy, Bena Brown, Laurelie R Wishart

Abstract read
In one paragraph

Article in Drugs - real world outcomes, 2024. 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

3 authors.

Minna GrahvendyCancer Trials Unit, Princess Alexandra Hospital, Queensland Health, 199 Ipswich Rd, Woolloongabba, QLD, 4102, Australia. minna.grahvendy@health.qld.gov.au.ORCID http://orcid.org/0000-0001-9318-9778
Bena BrownSouthern Queensland Centre of Excellence in Aboriginal and Torres Strait Islander Primary Health Care, Metro South Hospital and Health Service, Brisbane, Australia.ORCID http://orcid.org/0000-0002-7537-2402
Laurelie R WishartSchool of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-9474-9121

Funding

Metro South Health 252-19/20Metro South Health RSS_2021_027
6 · The paper itself

Abstract

BACKGROUND AND

objectiveAccurate and robust adverse event (AE) data collection is crucial in cancer clinical trials to ensure participant safety. Frameworks have been developed to facilitate the collection of AE data and now the traditional workflows are facing renewal to include patient-reported data, improving completeness of AE data. We explored one of these workflows in a cancer clinical trial unit.

methodsThe study was a single-site study conducted at a tertiary hospital located in Australia. Patients consenting to a clinical trial were eligible for inclusion in this study. Participants used an electronic platform-My Health My Way (MHMW)-to report their symptomatic data weekly for 24 weeks. A symptom list was included within the platform, along with a free text field. Data reported via the platform was compared with data recorded in the patient's medical chart. Time taken to compile data from each source was recorded, along with missing data points. Agreement between patient-reported data and data recorded in the medical notes was assessed using Kappa and Gwet's AC

resultsLow agreement was found between patient- and clinician-reported data (- 0.482 and - 0.159 by Kappa and Gwet's AC

conclusionsThis study confirms previous reports that patient- and clinician-reported adverse event data show low agreement. This study also shows that clinical trial sites could significantly reduce the work performed by research staff in the collection of adverse event data by implementing an electronic, patient-reported platform.

Identifiers

PMID39487922
PMCPMC11589020

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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.