Evidence map›Paper›PMID 41346775›Full record

ReviewJournal of the advanced practitioner in oncology2025

Enhancing Adverse Event Identification and Management in Early-Phase Oncology Clinical Trials: The Emerging Role of Advanced Practice Providers.

Sheena Charles

Abstract readReview
In one paragraph

Review in Journal of the advanced practitioner in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Sheena CharlesFrom The University of Texas MD Anderson Cancer Center, Houston, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adverse events (AEs) are unintended, harmful effects that occur in clinical trials, particularly in early-phase oncology clinical trials (EPOCT), where the risk of adverse effects from experimental therapies is high. Effective AE identification and management are essential for ensuring patient safety, improving outcomes, and advancing research. Advanced practice providers (APPs) play a key role in detecting and managing AEs, serving as a bridge between clinical care and research. However, their full impact on EPOCT remains underexplored. Purpose: This integrative review examines existing literature on AE identification, reporting, and management in EPOCT. It explores the role of APPs in managing AEs, emphasizing their impact on patient outcomes, clinical trial efficiency, and oncology science. Methods: A systematic search of peer-reviewed literature from 2020 to 2025 was conducted using various databases. Inclusion criteria were studies addressing AE management in EPOCT, patient-reported outcomes (PROs), and APP roles. Studies unrelated to oncology, AE management, or health-care providers were excluded. Results: Findings highlight the variability in AE reporting and the growing utility of electronic PRO tools in capturing timely and accurate data. Advanced practice providers contribute significantly to outpatient AE management, reducing emergency visits and improving treatment adherence. However, challenges remain, including underreporting with clinician-based tools, lack of standardized APP training, and limited comparison to physician-led AE management. Conclusion: APPs serve as key players in enhancing AE reporting and improving clinical trial processes. Future research should focus on standardizing structured training programs for APPs and comparative studies assessing the effectiveness of APP-led care.

Identifiers

PMID41346775
PMCPMC12673990

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.