Evidence map›Paper›PMID 33457284›Full record

ReviewTranslational andrology and urology2020

Minimally invasive radical nephrectomy: a contemporary review.

Akbar N Ashrafi, Inderbir S Gill

Abstract readReview
In one paragraph

Review in Translational andrology and urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

2 authors.

Akbar N AshrafiUSC Institute of Urology and Catherine & Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Inderbir S GillUSC Institute of Urology and Catherine & Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive renal surgery has revolutionized the surgical management of renal cancer since the initial report of laparoscopic nephrectomy in 1991. Laparoscopic nephrectomy became the mainstay of management in surgically resectable renal masses since the 1990s. The growing body of literature supporting nephron-sparing surgery over the last two decades has meant that minimally invasive radical nephrectomy (MI-RN) is now the preferred treatment for renal tumors not amenable to partial nephrectomy. While there is a well-described experience with complex radical nephrectomy using standard laparoscopy, robot-assisted surgery has shortened the learning curve and facilitated greater uptake of minimally invasive surgery in difficult surgical scenarios traditionally performed open surgically. Increased experience and expertise with robot-assisted renal surgery has led to expansion of the indications for MI-RN to include larger masses, locally advanced renal masses invading adjacent tissues or regional hilar/retroperitoneal lymph nodes, cytoreductive nephrectomy (CN) in metastatic disease, and concurrent venous tumor thrombectomy for renal vein or inferior vena cava (IVC) involvement. In this article, we review the various surgical techniques and adjunctive procedures associated with MI-RN.

Indexed as

Laparoscopicminimally invasive (MI)radical nephrectomy (RN)robot-assistedrobotic

Identifiers

PMID33457284
PMCPMC7807355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.