Evidence map›Paper›PMID 31027124›Full record

ArticleMedicine2019

Cumulative sum analysis of learning curve for video-assisted mini-laparotomy partial nephrectomy in renal cell carcinoma.

Jee Soo Park, Hyun Kyu Ahn, Joonchae Na, Hyung Ho Lee, Young Eun Yoon, Min Gee Yoon, Woong Kyu Han

Abstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

9 citing papers in PubMed.

  1. Article
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  5. Early experience with the ARTISENTIALTechniques in coloproctology · 2022
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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.

Jee Soo ParkDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyun Kyu AhnDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Joonchae NaDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyung Ho LeeDepartment of Urology, National Health Insurance Service Ilsan Hospital.
Young Eun YoonDepartment of Urology, Hanyang University College of Medicine.
Min Gee YoonDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Woong Kyu HanDepartment of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Video-assisted mini-laparotomy surgery (VAMS), a hybrid of open and laparoscopic surgical techniques, is an important surgical approach in the field of partial nephrectomy. The learning curve for VAMS partial nephrectomy has not been studied to date; we therefore, evaluated this learning curve.We prospectively evaluated 20 consecutive patients who underwent VAMS partial nephrectomy performed by a single surgeon (YEY) between March 2015 and December 2016. The learning curve was evaluated using the cumulative sum method. The measure of surgical performance was composed of 3 parameters (total operation time [Op time], warm ischemic time [WIT], and estimated blood loss [EBL]).Among the 20 patients who underwent VAMS partial nephrectomy, the mean age was 54.6 years. The mean Op time and WIT were 172.5 and 28.8 minutes, respectively. The learning curve for the Op time, WIT, and EBL consisted of 3 unique phases: phase 1 (the first 7 cases), phase 2 (the next 5 to 7 cases), and phase 3 (all subsequent cases). Phase 1 represents the initial learning curve, and the phase 2 plateau represents the period of expert competency. Phase 3 represents when one is competent in VAMS partial nephrectomy.The learning curve for VAMS partial nephrectomy is relatively short and after a learning curve of approximately 7 cases, the surgeon became familiar with VAMS partial nephrectomy; after 12 to 14 cases, the surgeon became competent in this procedure.

Indexed as

LaparotomyLearning CurveNephrectomyVideo-Assisted SurgeryBlood Loss, SurgicalCarcinoma, Renal CellFemaleHumansKidney NeoplasmsMaleMiddle AgedOperative TimeRetrospective StudiesSurgeonsTime Factors

Identifiers

PMID31027124
PMCPMC6831345

What OpenQuestion holds

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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.