Evidence map›Paper›PMID 35989947›Full record

ReviewHealth science reports2022

Postoperative outcomes in robotic gastric resection compared with laparoscopic gastric resection in gastric cancer: A meta-analysis and systemic review.

Muhammad Ali, Yang Wang, Jianyue Ding, Daorong Wang

Open access · goldAbstract readReview
In one paragraph

Review in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

4 authors at 1 institution in 1 country.

Muhammad AliDepartment of Gastrointestinal Surgery Northern Jiangsu People's Hospital Yangzhou China.ORCID 0000-0003-3226-1654
Yang WangDepartment of Gastrointestinal Surgery Northern Jiangsu People's Hospital Yangzhou China.
Jianyue DingDepartment of Gastrointestinal Surgery Northern Jiangsu People's Hospital Yangzhou China.
Daorong WangDepartment of Gastrointestinal Surgery Northern Jiangsu People's Hospital Yangzhou China.
Northern Jiangsu People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic gastrectomy is a commonly used procedure for early gastric cancer and it also overcomes the limitation of laparoscopic. However, the complications of robotic gastrectomy (RG) still need to be assessed. Our study was designed to compare postoperative complications of RG with laparoscopic gastrectomy (LG). Materials and Methods: A meta-analysis and systemic review were prospectively collected using the PubMed, Cochrane Library, and MEDLINE database of published studies by comparing the RG and LG with gastric cancer up to December 2021. To evaluate the postoperative outcomes, odds ratios were calculated for Dichotomous data and the mean difference with 95% confidence interval (CI) was calculated for continuous data, and measured by the random-effect model. Results: Thirty-two retrospective studies describing 13,585 patients (4484 RG and 9101 LG) satisfied the inclusion criteria. A statistically significant result was in blood loss (MD = -17.97, 95% Cl: -25.61 to 10.32, Conclusion: Having significant outcomes in Clavien-Dindo grade III, and blood loss, harvested lymph nodes are more common in RGS, and they also help in increasing the quality of life.

Indexed as

gastric cancerlaparoscopic gastrectomyrobotic gastrectomy

Identifiers

PMID35989947
PMCPMC9382053
OpenAlexW4292229894

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.