Evidence map›Paper›PMID 26874531›Full record

ReviewCurrent urology reports2016

Novel Technologies in Urologic Surgery: a Rapidly Changing Scenario.

Giorgio Gandaglia, Peter Schatteman, Geert De Naeyer, Frederiek D'Hondt, Alexandre Mottrie

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

5 authors.

Giorgio GandagliaUnit of Urology/Division of Oncology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Peter SchattemanDepartment of Urology, Onze-Lieve-Vrouw Hospital, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300, Aalst, Belgium.
Geert De NaeyerDepartment of Urology, Onze-Lieve-Vrouw Hospital, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300, Aalst, Belgium.
Frederiek D'HondtDepartment of Urology, Onze-Lieve-Vrouw Hospital, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300, Aalst, Belgium.
Alexandre MottrieDepartment of Urology, Onze-Lieve-Vrouw Hospital, OLV Vattikuti Robotic Surgery Institute, Moorselbaan 164, 9300, Aalst, Belgium. a.mottrie@telenet.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of laparoscopy and robotic surgery revolutionized the surgical management of urologic patients. Nonetheless, we live in an era of rapid changes, and we are probably still in the infancy of technology applied to surgery. When considering currently available technologies, there are several unmet needs to be addressed. These include the application of augmented reality, haptic feedback, tissue recognition, distant remote control, miniaturization of surgical instruments, the learning curve typical of the introduction of novel techniques, and excessive costs. In the next few years, evolution in imaging modalities in pre- and intraoperative surgical planning, as well as the introduction of novel minimally invasive platforms, would in part address these issues, substantially improving surgical outcomes. In addition, validated training programs would allow for the safe implementation of novel techniques in the clinical practice. Finally, a reduction in costs would be necessary to make technology affordable and to optimize healthcare resources.

Indexed as

Urologic Surgical ProceduresHumansLaparoscopyMinimally Invasive Surgical ProceduresRoboticsUrologic DiseasesAugmented realityIntraoperative imagingMinimally invasive surgeryNovel technologiesRobotic surgeryUrology

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.