Evidence map›Paper›PMID 40201352›Full record

ArticleFrontiers in oncology2025

Learning curve of transanal minimally invasive surgery for rectal neoplasm.

Xingwang Li, Shaoqing Guo, Kunhou Yao, Zheng Ge, Yuewei Li, Junhong Hu, Hongping Xia

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

7 authors.

Xingwang Li *Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Shaoqing Guo *Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Kunhou YaoDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Zheng GeDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Yuewei LiDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Junhong HuDepartment of Colorectal and Anal Surgery, First Affiliated Hospital of Zhengzhou University, Henan, China.
Hongping XiaDepartment of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The field of view through transanal endoscopic provides new treatment approaches for solving complex clinical problems. TAMIS belongs to single-port endoscopic surgery, and the operation is complex. Analyzing the learning curve of TAMIS aims to facilitate its better clinical promotion. Methods: A retrospective cohort study analyzed the clinical data of 58 patients who underwent TAMIS by the same surgeon from January 2018 to October 2024. The learning curve of TAMIS was obtained using the cumulative sum (CUSUM) analysis, and the optimal number of surgeries was determined based on the peak value of the curve, Clinical indicators such as operative time, intraoperative blood loss, positive rate of circumferential margin, length of postoperative hospital stay, and incidence of postoperative complications were compared at different stages. Results: All 58 patients successfully underwent TAMIS. The optimum curve equation was y=0.016 Conclusions: The learning curve of TAMIS can be divided into Pre-proficiency stage and Post-proficiency stage. 22 surgeries may be the number of surgeries required to cross the TAMIS learning curve.

Indexed as

learning curverectal neoplasmsafetytransanal endoscopytransanal minimally invasive surgery

Identifiers

PMID40201352
PMCPMC11975934

What OpenQuestion holds

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LicenceCC BY
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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.