ArticleAdvances in radiation oncology
Mitigating Implicit Bias in Radiation Oncology.
Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Article
- Prediction of tumor board procedural recommendations using large language models.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
- Artificial Intelligence for Radiation Oncology Applications Using Public Datasets.Seminars in radiation oncology · 2022Review
- Mitigating Bias in Recruitment: Attracting a Diverse, Dynamic Workforce to Sustain the Future of Radiation Oncology.Advances in radiation oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Implicit bias is one of the most insidious and least recognizable mechanisms that can cause inequity and disparities. There is increasing evidence that both implicit and explicit biases have a negative effect on patient outcomes and patient-physician relationships. Given the impact of Implicit bias, a joint session between ASTROs Committee on Health Equity, Diversity, and Inclusion and the National Cancer Institute (the ASTRO-National Cancer Institute Diversity Symposium) was held during the American Society of Radiation Oncology (ASTRO) 2020 Annual Meeting, to address the effect of implicit bias in radiation oncology through real life and synthesized hypothetical scenario discussions. Given the value of this session to the radiation oncology community, the scenarios and discussion are summarized in this manuscript. Our goal is to heighten awareness of the multiple settings in which implicit bias can occur as well as discuss resources to address bias.
Identifiers
What OpenQuestion holds
Registered trials
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.