Evidence map›Paper›PMID 31231685›Full record

ArticleOpen medicine (Warsaw, Poland)2019

A Meta-analysis of Robot Assisted Laparoscopic Radical Prostatectomy Versus Laparoscopic Radical Prostatectomy.

Tao Wang, Qunsuo Wang, Songtao Wang

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2019. 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
1.7field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Robotic Surgery in Oncology.Indian journal of surgical oncology · 2020
    Article
  5. Article
  6. Role of laparoscopy in the era of robotic surgery in urology in developing countries.Indian journal of urology : IJU : journal of the Urological Society of India
    Review
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 at 2 institutions in 1 country.

Tao WangFirst Department of Surgery, Armed police Beijing Corps Hospital, Beijing 100027, China.
Qunsuo WangFirst Department of Surgery, Armed police Beijing Corps Hospital, Beijing 100027, China.
Songtao WangArmed police Beijing Corps Hospital, Beijing 100027, China.
Chinese People's Armed Police Force Medical College Affiliated Hospital · CNChinese People's Armed Police General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the efficacy and safety of robot-assisted laparoscopic radical prostatectomy (RALP) and laparoscopic radical prostatectomy (LRP) for the treatment of localized prostate cancer.

methodsMeta-analysis was applied using Review Manager V5.3 software and the retrieved clinical trials comparing RALP with LRP for the treatment of localized prostate cancer published from 2000 to 2018 in PubMed, Ovid, ScienceDirect, and EMBASE datasets were analyzed.

resultsThis meta-analysis included 16 articles, totaling 7952 patients, with 5170 RALP patients and 2782 LRP patients. Meta-analysis showed that RALP postoperative complications were fewer (P=0.0007), and the postoperative urinary continence rate was better at 1 year after surgery (P<0.00001). There was no statistical significance between RALP and LRP with regards to the positive incidence of surgical margin (P = 0.18).

conclusionAs an emerging technology, RALP is superior to LRP for localized prostate cancer treatment in terms of postoperative complications, and postoperative urinary continence rate.

Indexed as

LaparoscopyMeta-analysisProstate cancerRobot-assisted laparoscopic

Identifiers

PMID31231685
PMCPMC6572386
OpenAlexW2951534078

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.