Evidence map›Paper›PMID 40978802›Full record

ArticleOTO open

Sentiment Analysis of Cochlear Implants in the r/Cochlear Implants Subreddit.

Rose Dimitroyannis, Ethan Oliver, Ringo Leung, Rachel Nordgren, Terence E Imbery

Abstract read
In one paragraph

Article in OTO open. 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

5 authors.

Rose DimitroyannisPritzker School of Medicine University of Chicago Chicago Illinois USA.ORCID https://orcid.org/0000-0001-9249-4818
Ethan OliverChicago Medical School Rosalind Franklin University of Medicine and Science North Chicago Illinois USA.
Ringo LeungPritzker School of Medicine University of Chicago Chicago Illinois USA.
Rachel NordgrenDepartment of Public Health Sciences University of Chicago Chicago Illinois USA.
Terence E ImberyDepartment of Surgery, Section of Otolaryngology-Head and Neck Surgery University of Chicago Chicago Illinois USA.ORCID https://orcid.org/0000-0002-6362-3147

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cochlear implants (CI) are surgical devices used for rehabilitation of sensorineural hearing loss. More individuals are receiving CIs as technology and surgical techniques improve and candidacy guidelines expand. Despite growing public awareness, CI utilization remains low. Understanding sentiment regarding these devices is important. Reddit is a text-based website wherein posters interact on specialized forums, "subreddits." R/Cochlearimplants allows for unique CI sentiment analysis. Study Design: A search was done from October 2024 to November 2024 on r/Cochlearimplants. Setting: Internet. Methods: Posts were sorted by highest engagement. Metadata regarding date, comments, and upvotes were collected. Sentiment was analyzed using TextBlob and VADER, Python library Natural Language Processing tools. Results: Four hundred and twenty unique posters made 1068 total entries. Entries spanned 2019 to 2024, the majority in 2024 (51%, n = 543). VADER found the majority of entries positive (n = 562, 52.9%) while TextBlob found the majority neutral (n = 928, 87%). Sentiment distribution over time was significantly different ( Conclusion: Sentiment regarding CI remains more nuanced than can be gleaned from this analysis, including cultural and ethical issues. This study demonstrates that sentiment on r/Cochlearimplants is generally neutral or positive, trending relatively more negative over time. This could suggest negativity towards CIs is growing with increased utilization. Awareness of online sentiment may help providers understand patient perspectives and dispel misinformation.

Indexed as

Cochlear Implantinternetsentiment analysis

Identifiers

PMID40978802
PMCPMC12447347

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.