Evidence map›Paper›PMID 40921835›Full record

ArticleSurgical endoscopy2025

Development of a predictive score for prolonged pelvic operation time in robot-assisted low anterior resection: a single-center, retrospective study in Japan.

Kenta Yao, Shunsuke Kasai, Akio Shiomi, Shoichi Manabe, Yusuke Tanaka, Tadahiro Kojima, Takahiro Igaki, Yukihiro Mori, Akifumi Notsu, Yusuke Kinugasa

Abstract readClinical Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2025. 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
–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

1 citing paper in PubMed.

  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

10 authors.

Kenta YaoDivision of Colon and Rectal Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-8777, Japan.
Shunsuke KasaiDivision of Colon and Rectal Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-8777, Japan. s.kasai@scchr.jp.ORCID http://orcid.org/0000-0002-2497-5633
Akio ShiomiDivision of Colon and Rectal Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-8777, Japan.
Shoichi ManabeDivision of Colon and Rectal Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-8777, Japan.
Yusuke TanakaDivision of Colon and Rectal Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-8777, Japan.
Tadahiro KojimaDivision of Colon and Rectal Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-8777, Japan.
Takahiro IgakiDivision of Colon and Rectal Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-8777, Japan.
Yukihiro MoriDivision of Colon and Rectal Surgery, Shizuoka Cancer Center, 1007, Shimonagakubo, Nagaizumi-Cho, Sunto-Gun, Shizuoka, 411-8777, Japan.
Akifumi NotsuClinical Research Center, Shizuoka Cancer Center, Shizuoka, Japan.
Yusuke KinugasaDepartment of Gastrointestinal Surgery, Institute of Science Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobot-assisted surgery has been widely adopted for the treatment of rectal cancer. Preoperative identification of difficult cases is essential, particularly for surgical training and operating room management. This study aimed to identify preoperative risk factors and develop a predictive scoring system for prolonged pelvic operation time in robot-assisted low anterior resection.

methodsThis retrospective, single-center study included patients who underwent robot-assisted low anterior resection for primary rectal cancer performed by experienced surgeons between 2019 and 2024. Preoperative clinicopathological features were evaluated using multivariate analysis to identify associations with longer pelvic operation time. A novel predictive scoring system for prolonged pelvic operation time was developed in a training cohort using the identified clinicopathological risk factors, and internally validated.

resultsA total of 343 patients were analyzed, with a median pelvic operation time of 87 min. Multivariate analysis identified eight risk factors: male sex, high body mass index, tumor distance from the anal verge < 7 cm, clinical T4 stage, clinically positive lymph nodes, history of preoperative chemoradiotherapy, elevated C-reactive protein levels, and low serum albumin. The predictive scoring system, based on a logistic regression model incorporating the eight factors, demonstrated robust performance in the validation cohort, with an area under the curve of 0.88 and a negative predictive value of 0.95. Stratification into four risk categories effectively distinguished both pelvic and total operation times.

conclusionEight preoperative clinicopathological features were identified as independent risk factors for prolonged pelvic operation time in robot-assisted rectal cancer surgery. The developed predictive scoring system, which can be readily applied preoperatively, may aid in case selection for surgical training and enhance operating room management.

Indexed as

Operative TimeProctectomyRectal NeoplasmsRisk AssessmentRobotic Surgical ProceduresAdultAgedAged, 80 and overFemaleHumansJapanLogistic ModelsMaleMiddle AgedMultivariate AnalysisPredictive Value of TestsOperation timePrediction modelRectal cancerRobot-assisted surgery

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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.