Evidence map›Paper›PMID 37009605›Full record

ReviewFrontiers in surgery2023

Comparison of perioperative outcomes of robotic vs. laparoscopic partial nephrectomy for renal tumors with a RENAL nephrometry score ≥7: A meta-analysis.

Yu-Li Jiang, Dong-Dong Yu, Yang Xu, Ming-Hua Zhang, Fu-Sheng Peng, Peng Li

Open access · goldFull text readReview
In one paragraph

Review in Frontiers in surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Robot-assisted Partial Nephrectomy with the new HugoRAS System: single center matched-pair analysis.International braz j urol : official journal of the Brazilian Society of Urology
    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

6 authors at 1 institution in 1 country.

Yu-Li JiangDepartment of Urology, Hu Zhou Central Hospital, Huzhou, China.
Dong-Dong YuDepartment of Urology, Hu Zhou Central Hospital, Huzhou, China.
Yang XuDepartment of Urology, Hu Zhou Central Hospital, Huzhou, China.
Ming-Hua ZhangDepartment of Urology, Hu Zhou Central Hospital, Huzhou, China.
Fu-Sheng PengDepartment of Urology, Hu Zhou Central Hospital, Huzhou, China.
Peng LiDepartment of Urology, Hu Zhou Central Hospital, Huzhou, China.
Huzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To compare the perioperative outcomes of robotic partial nephrectomy (RPN) vs. laparoscopic partial nephrectomy (LPN) for complex renal tumors with a RENAL nephrometry score ≥7. Methods: We searched PubMed, EMBASE and the Cochrane Central Register for studies from 2000 to 2020 to evaluate the perioperative outcomes of RPN and LPN in patients with a RENAL nephrometry score ≥7. We used RevMan 5.2 to pool the data. Results: Seven studies were acquired in our study. No significant differences were found in the estimated blood loss (WMD: 34.49; 95% CI: -75.16-144.14; Discussion: RPN is a safe and effective alternative to LPNs for or the treatment of complex renal tumors with a RENAL nephrometry score ≥7 with a shorter warm ischemic time and better postoperative renal function.

Indexed as

laparoscopic partial nephrectomymeta-analysisRENAL nephrometry scorerenal tumorsrobotic nephrectomy

Identifiers

PMID37009605
PMCPMC10050427
OpenAlexW4324375441

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read35
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.