Evidence map›Paper›PMID 38764764›Full record

ArticleWorld journal of gastroenterology2024

Construction of a nomogram model to predict technical difficulty in performing laparoscopic sphincter-preserving radical resection for rectal cancer.

Xiao-Cong Zhou, Shi-Wei Guan, Fei-Yue Ke, Gaurav Dhamija, Qiang Wang, Bang-Fei Chen

Abstract read
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Article in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Xiao-Cong ZhouDepartment of Colorectal Surgery, The Dingli Clinical Institute of Wenzhou Medical University (Wenzhou Central Hospital), Wenzhou 325000, Zhejiang Province, China.
Shi-Wei GuanDepartment of Hepatobiliary Surgery, The Dingli Clinical Institute of Wenzhou Medical University (Wenzhou Central Hospital), Wenzhou 325000, Zhejiang Province, China.
Fei-Yue KePostgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou 325000, Zhejiang Province, China.
Gaurav DhamijaSchool of International Studies, Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou 325000, Zhejiang Province, China.
Qiang WangDepartment of Radiology, The Dingli Clinical Institute of Wenzhou Medical University (Wenzhou Central Hospital), Wenzhou 325000, Zhejiang Province, China.
Bang-Fei ChenDepartment of Colorectal Surgery, The Affiliated Zhejiang Hospital, Zhejiang University School of Medicine (Zhejiang Hospital), Hangzhou 310000, Zhejiang Province, China. 2730375001@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal surgeons are well aware that performing surgery for rectal cancer becomes more challenging in obese patients with narrow and deep pelvic cavities. Therefore, it is essential for colorectal surgeons to have a comprehensive understanding of pelvic structure prior to surgery and anticipate potential surgical difficulties.

aimTo evaluate predictive parameters for technical challenges encountered during laparoscopic radical sphincter-preserving surgery for rectal cancer.

methodsWe retrospectively gathered data from 162 consecutive patients who underwent laparoscopic radical sphincter-preserving surgery for rectal cancer. Three-dimensional reconstruction of pelvic bone and soft tissue parameters was conducted using computed tomography (CT) scans. Operative difficulty was categorized as either high or low, and multivariate logistic regression analysis was employed to identify predictors of operative difficulty, ultimately creating a nomogram.

resultsOut of 162 patients, 21 (13.0%) were classified in the high surgical difficulty group, while 141 (87.0%) were in the low surgical difficulty group. Multivariate logistic regression analysis showed that the surgical approach using laparoscopic intersphincteric dissection, intraoperative preventive ostomy, and the sacrococcygeal distance were independent risk factors for highly difficult laparoscopic radical sphincter-sparing surgery for rectal cancer (

conclusionThe surgical approach, intraoperative preventive ostomy, the sacrococcygeal distance, and the anterior-posterior diameter of pelvic inlet/sacrococcygeal distance could help to predict the difficulty of laparoscopic radical sphincter-preserving surgery.

Indexed as

Anal CanalLaparoscopyNomogramsRectal NeoplasmsAdultAgedAged, 80 and overFemaleHumansImaging, Three-DimensionalLogistic ModelsMaleMiddle AgedOrgan Sparing TreatmentsPelvisProctectomyLaparoscopic operationNomogramRectal cancerSphincter-preserving surgeryTechnical difficulty

Identifiers

PMID38764764
PMCPMC11099392

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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.