Evidence map›Paper›PMID 37025468›Full record

ReviewBJUI compass2023

Robotic-assisted versus laparoscopic nephroureterectomy; a systematic review and meta-analysis.

Niall J O'Sullivan, Ailish Naughton, Hugo C Temperley, Rowan G Casey

Open access · goldAbstract readReview
In one paragraph

Review in BJUI compass, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Niall J O'SullivanDepartment of Urology Tallaght University Hospital Dublin 24 Ireland.ORCID https://orcid.org/0000-0002-6241-7819
Ailish NaughtonDepartment of Urology St. Vincent's University Hospital Dublin 4 Ireland.
Hugo C TemperleyDepartment of Surgery St. James's Hospital Dublin 8 Ireland.
Rowan G CaseyDepartment of Urology Tallaght University Hospital Dublin 24 Ireland.
Trinity College Dublin · IESt. James's Hospital · IESt. Vincent's University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Upper tract urothelial carcinoma (UTUC) is the malignant transformation of urothelial cells, from the renal calyces to the ureteral orifices. While the benefits of minimally invasive nephroureterectomy over their open counterpart have been established, the optimal technique remains a debate. We aimed to assess current evidence in the literature and compare outcomes between robotic-assisted (RANU) and laparoscopic nephroureterectomy (LNU). Methods: A systematic review of the literature was performed for studies comparing RANU and LNU for bladder cancer. Outcome measurements were recurrence rates (local and distal), positive margins, positive lymph node yield and perioperative outcomes. Meta-analysis was performed using Results: Our results demonstrate a significantly higher mortality rate in patients undergoing laparoscopic nephroureterectomy when compared with the robotic-assisted approach for the treatment of UTUC (1.8% vs. 1.1%, Conclusion: The ideal approach to minimally invasive radical nephroureterectomy remains undetermined. Future research, ideally prospective randomised studies, should focus on long-term outcomes, in particular recurrence, recurrence-free survival, overall survival and the correlation between surgical technique and survival.

Indexed as

laparoscopynephroureterectomyrobotic surgeryupper tract urothelial carcinoma

Identifiers

PMID37025468
PMCPMC10071076
OpenAlexW4317717712

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.