Evidence map›Paper›PMID 41458931›Full record

ArticleNeuro-oncology practice2025

Clinical outcome assessment trends in neuro-oncology trials.

Yeonju Kim, Mark R Gilbert, Terri S Armstrong, Orieta Celiku

Abstract read
In one paragraph

Article in Neuro-oncology practice, 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

4 authors.

Yeonju KimSchool of Medicine, Wayne State University, Detroit, Michigan.ORCID https://orcid.org/0000-0001-9220-4315
Mark R GilbertNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID https://orcid.org/0000-0001-8935-1744
Terri S ArmstrongNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Orieta CelikuIT Services and Support Branch, Center for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Rockville, Maryland.ORCID https://orcid.org/0000-0002-0500-1032

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Incorporating Clinical Outcome Assessments (COAs) in oncology trials is essential for evaluating therapeutic benefits and balancing survival with quality of life and symptom management. Understanding COA adoption trends and gaps is especially critical in neuro-oncology due to the complex symptom profiles of neuro-oncology patients. Methods: We reviewed neuro-oncology trials in ClinicalTrials.gov, identifying COA instruments using the PROQOLID database. We analyzed trends in COA usage, associations with trial characteristics, and the impact of key regulatory and advocacy efforts using correlation and regression analyses. Results: Of 1,874 adult interventional neuro-oncology trials with sufficient data, 85% were early-phase, 91% treatment-focused, primarily studying glioblastomas (61%), and unspecified gliomas (42%); 16% used COAs, with 127 distinct instruments reported; of these trials, 71% used Patient Reported Outcomes, 46% used Clinician-Reported Outcomes, with other categories of COAs used by fewer than 12% of the trials. COA use was more likely in later-phase trials (OR = 1.38, Conclusions: Our computational assessment highlights low but increasing COA adoption in neuro-oncology trials, mirroring broader oncology trends and reflecting a cumulative impact of regulatory and advocacy efforts. Priority areas for improvement include early-phase trials, FDA-approved interventions, and treatment-focused studies. Our findings emphasize the need for COA-specific reporting improvements and greater standardization in neuro-oncology research.

Indexed as

Clinical Outcome AssessmentsQuality of Lifetrial standardization

Identifiers

PMID41458931
PMCPMC12741830

What OpenQuestion holds

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Registered trials

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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.