Evidence map›Paper›PMID 39143971›Full record

ArticleReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology2024

Use of social media in radiation oncology: multicenter data from the GOCO Group.

Marta Bonet, Enar Recalde, Ana Soto, Alvaro Martinez, Mauricio Murcia, Joel Mases, Miriam Nuñez Fernandez, Juan Carlos Yufera, Ana Alvarez, Maria Aranzazu Eraso and 5 more

Abstract read
In one paragraph

Article in Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology, 2024. 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. From radiation beams to digital streams: social media engagement of German radiotherapy facilities.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
    Article
  2. Nucleus Accumbens Associated Protein 1 in Cancers-The Real Value.International journal of molecular sciences · 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

15 authors.

Marta BonetDepartment of Radiation Oncology, Hospital Universitari Arnau de Vilanova, Lleida, Spain.
Enar RecaldeDepartment of Radiation Oncology, Hospital Vall d'Hebron, Barcelona, Spain.
Ana SotoDepartment of Radiation Oncology, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Alvaro MartinezDepartment of Radiation Oncology, Consorci Parc de Salut MAR de Barcelona, Barcelona, Spain.
Mauricio MurciaDepartment of Radiation Oncology, Sant Joan University Hospital of Reus, Reus, Spain.
Joel MasesDepartment of Radiation Oncology, Hospital Clínic Barcelona, Barcelona, Spain.
Miriam Nuñez FernandezDepartment of Radiation Oncology, ICO Duran i Reynals, Hospitalet de Llobregat, Barcelona, Spain.
Juan Carlos YuferaInstitut Régional du Cancer de Montpellier, Montpellier, France.
Ana AlvarezDepartment of Radiation Oncology, ICO Badalona, Badalona, Spain.
Maria Aranzazu ErasoDepartment of Radiation Oncology, ICO Girona, Girona, Spain.
Nicolás FeltesDepartment of Radiation Oncology, Hospital de Terrassa, Terrassa, Consorci Sanitari de Terrassa, Institut Oncològic del Vallès, Barcelona, Spain.
Ludovic HernandezCancer University Institute Toulouse Oncopole, Toulouse, France.
Priscila BernardDepartment of Radiation Oncology, Hospital Universitari Arnau de Vilanova, Lleida, Spain.
Luis RamosDepartment of Radiation Physics, Hospital Universitari Arnau de Vilanova, Lleida, Spain.
Virginia GarciaDepartment of Radiation Oncology, Hospital Universitari Arnau de Vilanova, Lleida, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this study was to explore the usage patterns and profiles of social media (SM) platforms among Radiation Oncologists (RO) and Physicists in the scope of the Catalan-Occitan Oncology Group (GOCO). Materials and methods: From November 2022 to March 2023, a comprehensive survey was sent to Radiation Oncology professionals within the GOCO group, comprising 31 questions that covered demographics (4) and general inquiries (9), user behavior on social media (7), profile of SM activity (7), and participants' opinions (4) regarding professional use of SM. The survey reached professionals from 12 centers, encompassing 10 in Catalonia and 2 in French Occitania. Results: The survey achieved a 61.37% response rate (178/290 professionals) with an average age of 41.9 years. 120 (67%) were ROs, and 58 (33%) were Physicists. Instagram led in usage (n = 116), followed by Facebook (n = 107) and Twitter (n = 77). Age correlated inversely with the number of platforms used (Spearman's rank correlation coefficient -0.238, p = 0.001). 28% (n = 42) changed clinical practices based on SM information. A 78.5% (n = 117) didn't counter inappropriate content. Most (71.7%, n = 109) spent < 1 hour daily on professional SM use, however more Physicians exceeded 2 hours compared to Physicists (Cohen's kappa 2 = 0.07). 41.8% (n = 64) weren't emotionally concerned while 22.9% (n = 35) felt overwhelmed by SM overload. Conclusions: The study offers valuable insights into the usage patterns, preferences, and attitudes of Radiation Oncology professionals towards SM platforms. This understanding is crucial for optimizing content quality and delivering relevant information, thereby enabling more effective marketing strategies and enhancing emotional management among these professionals.

Indexed as

radiation oncologysocial mediasocial networks

Identifiers

PMID39143971
PMCPMC11321777

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.