Evidence map›Paper›PMID 37369784›Full record

ReviewInternational journal of impotence research2024

Quality and benefits of the erectile dysfunction information on websites, social-media, and applications.

Giorgio Ivan Russo, Maria Giovanna Asmundo, Emil Durukan, Mikkel Fode

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of impotence research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Giorgio Ivan RussoUrology Section, Department of Surgery, University of Catania, Catania, Italy. giorgioivan.russo@unict.it.ORCID http://orcid.org/0000-0003-4687-7353
Maria Giovanna AsmundoUrology Section, Department of Surgery, University of Catania, Catania, Italy.
Emil DurukanDepartment of Urology, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark.
Mikkel FodeDepartment of Urology, Copenhagen University Hospital, Herlev and Gentofte Hospital, Herlev, Denmark.ORCID http://orcid.org/0000-0002-8963-4581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Erectile Dysfunction (ED) is defined as the persistent inability to obtain and maintain an erection that enables satisfactory sexual intercourse. ED prevalence vary across age groups, affecting approximately 1-9% of men under 40, 2-9% of those aged 40-59, and increasing to 20-40% for those aged 60-69. However, it remains a frequently untreated or insufficiently treated condition. Especially due to the feeling of discomfort and guilt, patients often avoid consulting their physicians; in this context, digital innovation could potentially play a pivotal role in the diagnosis and management of ED. This narrative review depicts the ongoing status of digital innovations in ED focusing on websites, social media platforms and mobile health applications (MHA). We examined Google, social media platforms (Facebook, Twitter, YouTube, and TikTok), and the recently developed MHA apps on Google Play Store and Apple App Store. Websites provide readily available but sometimes difficult to understand information, while social media is easy to understand and act on. MHA apps are the most complete and trustworthy tool for self-care management. In conclusion, digital innovations are a continuously growing source of information and therapeutic tools.

Indexed as

Erectile DysfunctionInternetMobile ApplicationsSocial MediaHumansMale

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.