Evidence map›Paper›PMID 39167100›Full record

ArticleTechniques in coloproctology2024

Robotic left colectomy and intracorporeal overlap anastomosis for descending-sigmoid cancer with da Vinci Xi® robotic platform-a video vignette.

Kun Xu, Haode Shen, Yue Tian, Weidong Tong, Fan Li

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In one paragraph

Article in Techniques in coloproctology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kun XuDepartment of General Surgery, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Haode ShenDepartment of General Surgery, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Yue TianDepartment of General Surgery, Daping Hospital, Army Medical University, Chongqing, 400042, China.
Weidong TongDepartment of General Surgery, Shapingba District Chinese Medicine Hospital, Chongqing, 400030, China. vdtong@163.com.
Fan LiDepartment of General Surgery, Daping Hospital, Army Medical University, Chongqing, 400042, China. levinecq@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This video vignette illustrates the application of the da Vinci Xi® robotic platform for robotic left colectomy and intracorporeal overlap anastomosis in a 51-year-old patient diagnosed with sigmoid-descending colon junction cancer. Emphasizing the advantages of robotic surgery in colorectal procedures, the video showcases a complete mesocolic excision, involving steps such as medial-to-lateral dissection, mobilization of the splenic flexure, ligation of the left colic and sigmoid arteries, and resection of an abdominal wall nodule. The presentation highlights the surgical precision and efficiency achieved, including minimal blood loss and no complications, with an operation time of 190 min. The postoperative outcome was favorable, with the patient discharged on the eighth day and subsequent management involving chemotherapy and hyperthermic intraperitoneal chemotherapy (HIPEC) for stage pT4bN1aM1c moderately differentiated adenocarcinoma. This case underscores the enhanced capabilities of robotic platforms in complex colorectal surgeries, particularly in achieving cytoreductive surgery (CRS) and ensuring anastomosis safety with improved R0 resection rates.

Indexed as

Anastomosis, SurgicalColectomyRobotic Surgical ProceduresSigmoid NeoplasmsAdenocarcinomaColon, DescendingHumansMaleMiddle AgedColorectal cancerRobotic left colectomyRobotic surgery

Identifiers

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.