Evidence map›Paper›PMID 32378368›Full record

ArticleThe world journal of men's health2020

Social Media Sensationalism in the Male Infertility Space: A Mixed Methodology Analysis.

Kassandra E Zaila, Vadim Osadchiy, Robert H Shahinyan, Jesse N Mills, Sriram V Eleswarapu

Abstract read
In one paragraph

Article in The world journal of men's health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Fake News and Covid-19 in Italy: Results of a Quantitative Observational Study.International journal of environmental research and public health · 2020
    Observational
  11. Review
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.

Kassandra E ZailaDivision of Andrology, Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0001-9588-5443
Vadim OsadchiyDivision of Andrology, Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0003-0492-9987
Robert H ShahinyanDivision of Andrology, Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0003-0763-130X
Jesse N MillsDivision of Andrology, Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0002-7833-7071
Sriram V EleswarapuDivision of Andrology, Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0003-1852-4833

Funding

American Urological Association FoundationUrology Care Foundation
6 · The paper itself

Abstract

purposeInfertile couples increasingly turn to the internet for medical guidance. The aims of this study were: (1) to identify popular male infertility content on social media, and (2) to assess the accuracy and quality of this content. We hypothesized that inaccurate/misleading information proliferates online. MATERIALS AND

methodsWe used the analytics module BuzzSumo to identify article links that were most shared on Facebook, Pinterest, Reddit, and Twitter related to male infertility during September 2018 to August 2019. We excluded articles with <100 engagements, defined as "likes," "comments," and "shares." Two researchers graded content as accurate, misleading, or inaccurate by comparing content to references cited and contemporary research. Inter-rater reliability was determined with Cohen's κ. Binary logistic regression was performed to compare user engagement with accurate versus inaccurate/misleading articles.

resultsFifty-two unique article links were identified, with 421,004 total engagements. Thirty-four articles referenced 15 scientific studies; no reference was available for 18 links. Fifty-six percent of articles were accurate and 44% misleading/inaccurate (κ=0.743). No significant difference was found in total engagement between accurate vs. misleading/inaccurate links (p=0.805). Twenty-four percent of engagements referenced studies using non-human models, and 26% of studies had sample sizes <100.

conclusionsSocial media platforms foster engagement with male infertility information. However, sensationalism predominates, as patients are highly likely to encounter misleading/inaccurate information, articles that overstate implications of animal research, and conclusions made based on limited sample sizes. Urologists should consider adding social media to their armamentarium to stave off misinformation and engage proactively with patients.

Indexed as

Infertility, maleInternetSocial mediaSperm

Identifiers

PMID32378368
PMCPMC7502321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.