Evidence map›Paper›PMID 41991613›Full record

Observational studySpinal cord2026

Digital awareness in spinal cord injury: content and sentiment analysis of the 100 most viewed YouTube videos.

Beyza Öztürk, Burak Tayyip Dede, Bülent Alyanak, Mustafa Hüseyin Temel, Mustafa Turgut Yıldızgören, Burcu Hazer, Fatih Bağcıer

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Spinal cord, 2026. 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

7 authors.

Beyza ÖztürkDepartment of Physical Medicine and Rehabilitation, Haseki Training and Research Hospital, Istanbul, Turkey. beyzasarikaya@hotmail.com.ORCID http://orcid.org/0000-0001-7397-2888
Burak Tayyip DedeDepartment of Physical Medicine and Rehabilitation, Prof. Dr. Cemil Taşcıoğlu City Hospital, Istanbul, Turkey.
Bülent AlyanakDepartment of Physical Medicine and Rehabilitation, Gölcük Necati Çelik State Hospital, Kocaeli, Turkey.
Mustafa Hüseyin TemelDepartment of Physical Medicine and Rehabilitation, Health Sciences University Sultan 2. Abdulhamid Han Education and Research Hospital, Istanbul, Turkey.
Mustafa Turgut YıldızgörenDepartment of Physical Medicine and Rehabilitation, Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey.
Burcu HazerDepartment of Physical Medicine and Rehabilitation, Başakşehir Çam and Sakura City Hospital, Istanbul, Turkey.
Fatih BağcıerDepartment of Physical Medicine and Rehabilitation, Başakşehir Çam and Sakura City Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designCross-sectional, observational, and descriptive study.

objectivesTo analyze globally accessible videos and user comments retrieved via the YouTube Data API using the keyword "spinal cord injury."

settingPublicly available YouTube videos and comments.

methodsA total of 588 videos uploaded to YouTube over the past 15 years were screened. After exclusion of non-English content, disabled comments, duplicates, and irrelevant material, the 100 most-viewed videos were included. Video-level metadata and 15,619 user comments were extracted. Using deductive qualitative content analysis, two independent reviewers categorized videos into seven domains: general information, personal experience, daily living activities, treatment trials, exercise demonstrations, rehabilitation center presentations, and others. For text preprocessing and analysis, Python libraries (NLTK, TextBlob, WordCloud) were applied. Sentiment analysis was conducted using the Valence Aware Dictionary and Sentiment Reasoner (VADER). Descriptive statistics and sentiment trends were evaluated using IBM SPSS Statistics, Version 29.0.

resultsMost YouTube videos on spinal cord injury focused on general information and personal experiences. A significant rise in video numbers and engagement occurred between 2010 and 2020, followed by a decline after 2021. Positive sentiments predominated but declined over time, while neutral comments increased. Negative sentiments remained consistently low throughout all periods.

conclusionUser engagement with YouTube content on spinal cord injury is influenced by social and global factors, with content largely centered on narratives and general information. Future research should broaden to multiple platforms and incorporate demographic and geographic factors to guide effective digital health communication strategies.

Indexed as

Social MediaSpinal Cord InjuriesVideo RecordingCross-Sectional StudiesHumans

Identifiers

What OpenQuestion holds

Textmetadata
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.