Evidence map›Paper›PMID 27073455›Full record

ArticleExperimental and therapeutic medicine2016

An innovative procedure of laparoscope combined with endoscopy for gastrointestinal stromal tumor resection and cholecystectomy: A case report and literature review.

Y E Yan, Feng Li, Yong-Hao Gai, Qing-Wei Liu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Y E YanDepartments of Ultrasound and Radiology, Provincial Hospital Affiliated to Shandong University, Jinan, Shandong 250021, P.R. China.
Feng LiDepartment of General Surgery, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China.
Yong-Hao GaiDepartments of Ultrasound and Radiology, Provincial Hospital Affiliated to Shandong University, Jinan, Shandong 250021, P.R. China.
Qing-Wei LiuDepartments of Ultrasound and Radiology, Provincial Hospital Affiliated to Shandong University, Jinan, Shandong 250021, P.R. China.
Shandong Provincial Hospital · CNQilu Hospital of Shandong University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study reports a novel approach to laparoscopic and endoscopic cooperative surgery for gastric gastrointestinal stromal tumor (GIST) resection and cholecystectomy, and conducts a review of the associated literature. The novel surgical procedure was performed on one patient who was diagnosed with a GIST and cholecystic polypus. The GIST was resected using an insulation-tipped diathermic electrosurgical knife under the guide of an endoscope. Subsequently, a cholecystectomy was performed by inserting two more 5-mm trocars and instruments transumbilically, guided using an endoscope. The tumor and the gallbladder were exteriorized using a peroral approach and the incision lining of the stomach was sutured laparoscopically. The procedure was successfully performed and the patient experienced no discomfort during the 5-year follow-up. In conclusion, the present study demonstrates that laparoscopic and endoscopic cooperative surgery is feasible and would be an ideal choice for invisible abdominal scar surgery, in particular for multi-visceral resection.

Indexed as

cholecystectomyendoscopegastrointestinal stromal tumorlaparoscope

Identifiers

PMID27073455
PMCPMC4812363
OpenAlexW2254374718

What OpenQuestion holds

Textmetadata
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.