Evidence map›Paper›PMID 36118390›Full record

ReviewIndian journal of surgical oncology2017

Robot-Assisted Laparoscopic Surgery for the Treatment of Urological Malignancy.

Andy C Huang, Allen W Chiu

Open access · greenAbstract readReview
In one paragraph

Review in Indian journal of surgical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Andy C HuangDepartment of Urology, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
Allen W ChiuDepartment of Urology, School of Medicine, National Yang-Ming University, Taipei, Taiwan.
National Yang Ming Chiao Tung University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive surgery has always been the mainstay of therapeutic strategy in treatment of urological disorders. Urologic oncologic surgery is no exception in this regard and with availability of the da Vinci robotic system has favorably altered the surgical outcomes of treatment of urologic malignancies including prostatectomy, cystectomy, and partial nephrectomy. Robotic system not only makes these procedures truly minimal access but also facilitates better visualization, improved dexterity, and better outcomes in terms of surgical morbidity. In this article, we collect and review the recent articles which have studied the application of this technology and its outcomes.

Indexed as

CancerNephrectomyProstatectomyRobotic surgeryUrology

Identifiers

PMID36118390
PMCPMC9478058
OpenAlexW2597868073

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.