Evidence map›Paper›PMID 36814824›Full record

ArticleAdvances in radiation oncology

Underrepresented Minority Composition of Invited Panelists at the 2021 ASTRO Annual Meeting.

Louisa Onyewadume, Shearwood McClelland

Abstract read
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Invited African-American Radiation Oncology Grand Rounds Speakers: DEI or Die?Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
    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

2 authors.

Louisa OnyewadumeDepartments of Radiation Oncology.
Shearwood McClellandDepartments of Radiation Oncology.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The American Society for Radiation Oncology (ASTRO) Annual Meeting is one of the primary venues for radiation oncologists to present new research, network, and share innovations. In this brief report, we describe the racial representation of invited physician speakers at the Annual Meeting relative to the specialty. Methods and Materials: The program list of all invited educational sessions and panel speakers in the ASTRO annual meetings from 2021 was accessed via the ASTRO website. Race was determined by a combination of facial recognition and Internet investigation. Speakers and panels were divided by race and specialty. Underrepresented in medicine (URiM) was defined as Black race and/or Hispanic ethnicity. Results: We identified 182 cumulative speaking panels at the 2021 ASTRO annual meeting and 960 individuals who filled these panels. The majority of speakers were of White race (57%), followed by Asian race (34.2%). URiM speakers made up approximately 8.6% of speakers and were mostly congregated in diversity, equity, and inclusion in health care (DEI) panels. A total of 15.6% of panels were White-only, and 14.8% of panels had at least 1 URiM member. URiM race speakers were mostly congregated in DEI panels, comprising 44.9% of DEI speaker positions and 4.1% of non-DEI speaker positions; this difference reached statistical significance ( Conclusions: The proportion of underrepresented minorities receiving panel invitations at ASTRO remains minimal and is virtually nonexistent outside of DEI-related panels. Targeted efforts to increase URiM representation will be needed to make tangible progress on this issue, just as they have yielded progress on increasing gender diversity in panel invitations.

Identifiers

PMID36814824
PMCPMC9939537

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.