Evidence map›Paper›PMID 38717597›Full record

ArticleSurgery today2024

Robotic intersphincteric resection for low rectal cancer: a cumulative sum analysis for the learning curve.

Yihuang Gao, Hongfeng Pan, Jiahong Ye, Haoyang Ruan, Weizhong Jiang, Pan Chi, Ying Huang, Shenghui Huang

Abstract read
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In one paragraph

Article in Surgery today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Learning Curve in Robotic Colorectal Surgery.JSLS : Journal of the Society of Laparoendoscopic Surgeons
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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

8 authors.

Yihuang Gao *Department of Colorectal Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Hongfeng Pan *Department of Colorectal Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Jiahong Ye *Department of Colorectal Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Haoyang Ruan *Department of Colorectal Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Weizhong JiangDepartment of Colorectal Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China.
Pan ChiDepartment of Colorectal Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China. chipan363@163.com.
Ying HuangDepartment of Colorectal Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China. fuzhouwushan@foxmail.com.
Shenghui HuangDepartment of Colorectal Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, Fujian, China. shepherd819@fjmu.edu.cn.

Funding

Bethune Charitable Foundation X-J-2018-004Fujian Provincial Health Technology Project 2020CXA025Fujian Provincial Health Technology Project 2020GGB022Joint Funds for the innovation of Science and Technology, Fujian province B20062DSMedical Science Research Foundation of Beijing Medical and Health Foundation B20062DSNatural Science Foundation of Fujian Province 2020J011030Natural Science Foundation of Fujian Province 2022J01753
6 · The paper itself

Abstract

purposeThis study aimed to assess the learning curve of robot-assisted intersphincteric resection for low rectal cancer.

methodsWe retrospectively analyzed the clinical data of 89 patients who underwent robot-assisted intersphincteric resection. All surgeries were performed by the same group of surgeons at our institution between June 2016 and April 2021. The learning curve was evaluated using a cumulative sum analysis and the best-fit curve. The different stages of the learning curve were compared based on patient characteristics and short-term clinical outcomes to evaluate their impact on clinical efficacy.

resultsThe minimum number of cases required to overcome the learning curve was 47. The learning curve was divided into the learning improvement and proficiency stages. Significant differences were observed in the operation time and the number of lymph nodes between the two stages (P < 0.05), whereas no significant differences were found in intraoperative blood loss, first postoperative exhaust time, postoperative complications, 3-year progression-free survival, overall survival, and local recurrence-free survival (P > 0.05).

conclusionRobotic-assisted intersphincteric resection for low rectal cancer exhibits a learning curve that can be divided into two stages: namely, learning improvement and proficiency. Achieving proficiency requires a minimum of 47 surgical cases.

Indexed as

Learning CurveRectal NeoplasmsRobotic Surgical ProceduresAdultAgedAnal CanalDigestive System Surgical ProceduresFemaleHumansMaleMiddle AgedOperative TimePostoperative ComplicationsRetrospective StudiesTreatment OutcomeCUSUMRobotic-assisted intersphincteric resection of rectal cancer: learning curve

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Registered trials

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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.