Evidence map›Paper›PMID 36101754›Full record

ArticlePublic health in practice (Oxford, England)2022

Discourse about human papillomavirus (HPV)-associated oropharyngeal cancer (OPC) on Twitter: Lessons for public health education about OPC and dental care.

Jae Eun Chung, Indra Z Mustapha, Jiang Li, Xinbin Gu

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2022. 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. Article
  2. 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

4 authors.

Jae Eun ChungCathy Hughes School of Communications, Howard Univ, USA.
Indra Z MustaphaCollege of Dentistry, Howard Univ, USA.
Jiang LiDepartment of Electrical Engineering and Computer Science, Howard Univ, USA.
Xinbin GuCollege of Dentistry, Howard Univ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Public understanding of human papillomavirus (HPV)-associated oropharyngeal cancer (OPC) is minimally understood. Therefore uncovering communication gaps between the public and healthcare professionals regarding this disease is vital. Social media provide an unobtrusive way to understand public perception about health issues. Study design: Computer-assisted quantitative content analysis. Methods: Tweets about HPV-associated OPC ( Results: Findings show that (a) the majority of discourse on Twitter focused on risk factors and prevention with little information on diagnosis, treatment, and prognoses; (b) many tweets promoted HPV vaccination among boys and emphasized the risk of HPV-associated OPC among males; (c) the role of dental care professionals in the prevention and detection of OPC minimally appeared; (d) the public referred to OPC as oral cancer, head and neck cancer, or throat cancer; and (e) health organizations in New Zealand, Australia, and the United Kingdom led the discussion on HPV-associated OPC on Twitter. Conclusions: The current study unravels the utility of social media data and data mining techniques in understanding public perception and understanding of HPC-associated OPC. The outcomes from the current study provide baseline knowledge of where communication gaps exist in terms of HPV-associated OPC, without which the planning of potential interventions and much-needed social media-based campaigns cannot be effectively undertaken.

Indexed as

Cancer educationData miningHuman papillomavirus (HPV)Oropharyngeal cancer (OPC)Public health promotionSocial media

Identifiers

PMID36101754
PMCPMC9461587

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.