Evidence map›Paper›PMID 36935852›Full record

ArticleClinical and translational radiation oncology2023

Development and dissemination of structured hashtags for radiation oncology: Two-Year trends.

Atallah Baydoun, Ian J Pereira, Sandra Turner, Shankar Siva, Ashley A Albert, D Andrew Loblaw, Richard A Simcock, Nicholas G Zaorsky, Matthew S Katz

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2023. 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

9 authors.

Atallah BaydounDepartment of Radiation Oncology, University Hospitals of Cleveland, Cleveland, OH 44106, USA.
Ian J PereiraQueen's University, Kingston, ON K7L 3N6, Canada.
Sandra TurnerCrown Princess Mary Cancer Centre, Westmead 2145, Australia.
Shankar SivaUniversity of Melbourne, Melbourne 3010, Australia.
Ashley A AlbertArizona Center for Cancer Care, Scottsdale, AZ 85258, USA.
D Andrew LoblawDepartment of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON M4N 3M5, Canada.
Richard A SimcockBrighton and Sussex University Hospitals NHS Trust, Brighton BN2 1DH, UK.
Nicholas G ZaorskyDepartment of Radiation Oncology, University Hospitals of Cleveland, Cleveland, OH 44106, USA.
Matthew S KatzRadiation Oncology Associates, PA, Lowell, MA 01854, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: For radiation oncology, social media is a favored communication platform, but it uses non-structured hashtags, which limits communication. In this work, we created a set of structured hashtags with key opinion leaders in radiation oncology, and we report on their use after two years post-deployment. Materials/Methods: Hashtags were created, voted on, and refined by crowdsourcing 38 international experts, including physicians, physicists, patients, and organizations from North America, Europe, and Australia. The finalized hashtag set was shared with the radiation oncology community in September 2019. The number of tweets for each hashtag was quantified via Symplur through December 2021. For the top five tweeted hashtags, we captured the number of yearly tweets in the pre-deployment and post-deployment periods from 09/01/2019 to 08/31/2021. Results: The initial 2019 list contained 39 hashtags organized into nine categories. The top five hashtags by total number of tweets were: #Radonc, #PallOnc, #MedPhys, #SurvOnc, and #SuppOnc. Six hashtags had less than 10 total tweets and were eliminated. Post-deployment, there was an increase in the yearly tweets, with the following number of tweets by the second year post-deployment: #RadOnc (98,189 tweets), #MedPhys (15,858 tweets), and #SurvOnc (6,361 tweets). Two popular radiation oncology-related hashtags were added because of increased use: #DEIinRO (1,603 tweets by year 2) and #WomenWhoCurie (7,212 tweets by year 2). Over the two years, hashtags were used mostly by physicians (131,625 tweets, 34.8%). Conclusion: We created and tracked structured social media hashtags in radiation oncology. These hashtags disseminate information among a diverse oncologic community. To maintain relevance, regular updates are needed.

Indexed as

Radiation OncologySocial MediaTwitter

Identifiers

PMID36935852
PMCPMC10014325

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.