Evidence map›Paper›PMID 28591771›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

The use of Twitter to facilitate sharing of clinical expertise in urology.

Kevan M Sternberg, Stacy L Loeb, David Canes, Laura Donnelly, Mitchell H Tsai

Erratum issuedAbstract readCase Reports
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. The good in social media.BJUI compass · 2022
    Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Prostate cancer and social media.Nature reviews. Urology · 2018
    Review
  8. Review
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kevan M SternbergDepartment of Surgery, Division of Urology, University of Vermont Larner College of Medicine, Burlington, VT, USA.
Stacy L LoebDepartment of Urology and Population Health, New York University and Manhattan VA, New York, NY, USA.
David CanesDepartment of Urology, Lahey Hospital and Medical Center, Tufts University, Boston, MA, USA.
Laura DonnellyUniversity of Vermont Larner College of Medicine, Burlington, VT, USA.
Mitchell H TsaiDepartment of Anesthesiology and Department of Orthopedics and Rehabilitation (by courtesy), University of Vermont Larner College of Medicine, Burlington, VT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of social media in the urologic community is common and increasing. Although the potential benefits of platforms like Twitter have been described in the literature, the use of social media in the clinical context of Urology has not been explored.In this case report, we describe how we used Twitter to share ideas about the clinical management of a complex urologic patient. By posting a clinical scenario, a timely discussion was generated with global participation and expert suggestions. This knowledge was applied to the surgical management of a patient with positive clinical outcomes.The ability of Twitter to facilitate rapid communication with a wide network of contributors makes it a potentially useful tool for clinical decision making. Care must be taken to ensure patient confidentiality and caution used appropriately when evaluating the sources and content of the clinical information shared.

Indexed as

Social MediaUrologyAbdominal AbscessConfidentialityCrowdsourcingDiverticulumFemaleHumansKidney CalculiKidney DiseasesMiddle AgedPatient Care ManagementProteus InfectionsProteus mirabilisTomography, X-Ray ComputedUreteroscopycrowdsourcingSocial media

Identifiers

PMID28591771
PMCPMC7647134

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.