Evidence map›Paper›PMID 40238487›Full record

ArticleIntegrative cancer therapies

YouTube Videos as an Information Source About Aerobic Exercise in Rehabilitation of Lung Cancer.

Deniz Kocamaz, Arzu Demircioğlu Karagöz, Songul Atasavun Uysal

Abstract read
In one paragraph

Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

3 authors.

Deniz KocamazHasan Kalyoncu University, Gaziantep, Turkey.ORCID 0000-0002-0611-7686
Arzu Demircioğlu KaragözHacettepe University, Ankara, Turkey.
Songul Atasavun UysalHacettepe University, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe internet has become a preferred source for obtaining information about diagnostic and treatment methods related to health issues. This study aims to investigate whether aerobic exercise videos on the YouTube platform are an excellent source for lung cancer patients.

methodsThe keywords, "lung cancer and exercise," "lung cancer and physical activity," and "lung cancer and rehabilitation" were used to identify videos on YouTube on 27 to 28 May 2023. We recorded the characteristics of the videos, including the number of views, duration, days since upload, and the number of likes and dislikes. The Global Quality Scale and the modified DISCERN questionnaire were used to assess the quality and reliability of videos.

results150 videos were evaluated. 12 of 150 videos met the eligibility criteria. Lung cancer and aerobic exercise in rehabilitation videos were most commonly uploaded by health organizations and patients. Videos had a median of 3300 views. We assessed videos for user-focused video quality using the DISCERN instrument and found that the average total score was 3 (range 2-5). Inter-observer agreement was 0.89 and 0.91 for DISCERN and GQS scored, respectively. SIGNIFICANCE OF

resultsThe results show that YouTube can be a preferred, easy, and inexpensive way to access aerobic exercise modalities, which are the basic rehabilitation steps for lung cancer patients. Experts recommend increasing the number of high-quality videos explaining the exercises. To fill this gap, healthcare professionals and organizations can take an active role in planning, producing, or ensuring reliable content. Collaborations with medical institutions and physiotherapists could further ensure that patients have access to accurate and effective exercise guidance, ultimately improving rehabilitation outcomes.

Indexed as

ExerciseExercise TherapyLung NeoplasmsSocial MediaVideo RecordingHumansInformation SourcesInternetSurveys and Questionnairesexerciselung cancerphysical activityrehabilitationYouTube

Identifiers

PMID40238487
PMCPMC12034951

What OpenQuestion holds

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LicenceCC BY-NC
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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.