Evidence map›Paper›PMID 37033101›Full record

ArticleOncology letters2023

Application of robotic surgery and traditional laparoscopic surgery in lymph node dissection for gynecological cancer: A meta‑analysis.

Yuanyuan Lu, Jingping Chen, Renji Wei, Wenting Lin, Yudong Chen, Yicheng Su, Lijuan Liu, Yukun Liang, Mulan Wei

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

9 authors at 1 institution in 1 country.

Yuanyuan LuDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Jingping ChenDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Renji WeiDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Wenting LinDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Yudong ChenDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Yicheng SuDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Lijuan LiuDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Yukun LiangDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Mulan WeiDepartment of Gynecology, Guigang People's Hospital, Guigang, Guangxi 537100, P.R. China.
Guigang City People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the advantages of robotic surgery and laparoscopic surgery in the number of lymph node resections are not well understood, this meta-analysis used evidence-based medicine to assess the difference in the number of lymph nodes retrieved in gynecological cancer between the two surgical methods to guide clinical treatment. In the present meta-analysis, the Pubmed, Embase, Cochrane, China National Knowledge Infrastructure and Wanfang libraries were searched for articles that were published from the time of the database's inception to January 2021, including cohort studies and randomized controlled trials, where the observation group underwent robotic surgery to treat gynecological cancers and the control group underwent laparoscopic surgery to treat gynecological cancers, including cervical and ovarian cancers and endometrial cancers. Duplicate publications, studies with no full text, incomplete information or where the authors were unable to perform data extraction, animal experiments, reviews and systematic reviews were excluded. STATA 15.1 was used to analyze the data. Robotic surgery resulted in a significant increase in the number of lymph nodes retrieved from the pelvis [standard mean difference (SMD)=0.24; 95% CI, 0.04-0.45; P=0.007] and para-aortic (SMD=0.41; 95% CI, 0.13-0.69; P=0.004) regions compared with the number retrieved by laparoscopic surgery. Furthermore, there was no significant difference in operating time between robotic and laparoscopic surgery, despite the use of different instruments (SMD=0.12; 95% CI, -0.35-0.58; P=0.616). The amount of blood lost during robotic surgery was significantly less compared with that lost during laparoscopic surgery [SMD=-0.40; 95% CI, -0.58-(-0.22); P<0.001]. The present study evaluated cancer recurrence and death in further detail, and no statistically significant difference was demonstrated between robotic surgery and laparoscopic surgery in terms of recurrence rate [odds ratio (OR)=0.59; 95% CI, 0.21-1.65; P=0.318] and mortality rate (OR=0.31; 95% CI, 0.08-1.30; P=0.109). The present study demonstrated that robotic surgery was able to retrieve more pelvic and para-aortic lymph nodes than traditional laparoscopic surgery, which was consistent with previous reports. With regards to blood loss, The difference in operation time between the two surgical methods was not statistically significant, whereas the estimated blood loss of robotic surgery was significantly lower than that of traditional laparoscopic surgery. There was no statistically significant difference in the recurrence rate and mortality rate of the two surgical modality.

Indexed as

gynecological cancerlaparoscopic surgerylymph node dissectionrobotic surgery

Identifiers

PMID37033101
PMCPMC10079865
OpenAlexW4324372661

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.