Evidence map›Paper›PMID 35273996›Full record

ReviewFrontiers in surgery2022

Telemedicine and Telementoring in Urology: A Glimpse of the Past and a Leap Into the Future.

Christian Habib Ayoub, Jose M El-Asmar, Suhaib Abdulfattah, Albert El-Hajj

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Christian Habib AyoubDepartment of Surgery, Division of Urology, American University of Beirut Medical Center, Beirut, Lebanon.
Jose M El-AsmarDepartment of Surgery, Division of Urology, American University of Beirut Medical Center, Beirut, Lebanon.
Suhaib AbdulfattahAmerican University of Beirut Medical School, American University of Beirut, Beirut, Lebanon.
Albert El-HajjDepartment of Surgery, Division of Urology, American University of Beirut Medical Center, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine is the process of utilizing telecommunications and digital relay to perform, teach, or share medical knowledge. The digital era eased the incorporation of telemedicine to different areas of medical care, including the surgical care of Urologic patient mainly through telementoring, telesurgery, and telerobotics. Over the years, Telemedicine has played an integral part in a physicians' ability to provide high quality medical care to remote patients, as well as serve as an educational tool for trainee physicians, in the form of telementoring. During the COVID-19 pandemic, telemedicine has played a vital role in combatting the health implications of confinements. Challenges of telemedicine implementation include cost, ethical considerations, security, bandwidth, latency, legal, and licensure difficulties. Nevertheless, the future of telemedicine, specifically telementoring, promises several improvements and innovative advancements that aim to bridge the gap in technological divides of urologic care. In this review, we build on what is already known about telemedicine focusing specifically on aspects related to telementoring, telestration, and telesurgery. Furthermore, we discuss its historical role in healthcare with a special emphasis on current and future use in urology.

Indexed as

COVID-19educationrobotictelecommunicationstelemedicinetelementoringteleroboticurology

Identifiers

PMID35273996
PMCPMC8901873

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.