Evidence map›Paper›PMID 24257431›Full record

ReviewCurrent opinion in urology2014

Robotic ultrasound and needle guidance for prostate cancer management: review of the contemporary literature.

Deborah R Kaye, Dan Stoianovici, Misop Han

Abstract readReview
In one paragraph

Review in Current opinion in urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Transperineal prostate biopsy: a review of technique.Translational andrology and urology · 2020
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Brachytherapy next generation: robotic systems.Journal of contemporary brachytherapy · 2015
    Article
  10. What is next in robotic urology?Current urology reports · 2014
    Review
  11. 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

3 authors.

Deborah R KayeDepartment of Urology, The James Buchanan Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Dan Stoianovici
Misop Han

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Ultrasound-Guided Navigation in Robot-Assisted Laparoscopic Radical ProstatectomyR21CA141835 · NCI · JOHNS HOPKINS UNIVERSITY · PI HAN, MISOP, STOIANOVICI, DAN · 2009 to 2010
$554k
NCATS NIH HHS UL1 TR001079NCI NIH HHS R21 CA141835
6 · The paper itself

Abstract

purpose of reviewTo present the recent advances in needle guidance and robotic ultrasound technology which are used for prostate cancer (PCa) diagnosis and management. RECENT

findingsProstate biopsy technology has remained relatively unchanged. Improved needle localization and precision would allow for better management of this common disease. Robotic ultrasound and needle guidance is one strategy to improve needle localization and diagnostic accuracy of PCa. This review focuses on the recent advances in robotic ultrasound and needle guidance technologies, and their potential impact on PCa diagnosis and management. SUMMARY: The use of robotic ultrasound and robotic-assisted needle guidance has the potential to improve PCa diagnosis and management.

Indexed as

RoboticsUltrasonography, InterventionalBiopsy, NeedleBrachytherapyDiagnosis, Computer-AssistedHumansImage-Guided BiopsyLaparoscopyMalePatient SelectionPredictive Value of TestsProstatectomyProstatic NeoplasmsRadiotherapy, Computer-AssistedSurgery, Computer-AssistedTreatment Outcome

Identifiers

PMID24257431
PMCPMC4000157

What OpenQuestion holds

Textmetadata
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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.