Evidence map›Paper›PMID 37716932›Full record

ArticleWorld journal of surgery2023

Learning Curve for Thoracoscopic Individual Basilar Segmentectomy: 18-Year Experience.

Satoshi Takamori, Hiroyuki Oizumi, Jun Suzuki, Hikaru Watanabe, Kaito Sato, Satoshi Shiono, Ri Sho

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Article in World journal of surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Satoshi TakamoriDepartment of Surgery II, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan. m09y068i@gmail.com.
Hiroyuki OizumiDepartment of Surgery II, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Jun SuzukiDepartment of Surgery II, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Hikaru WatanabeDepartment of Surgery II, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Kaito SatoDepartment of Surgery II, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Satoshi ShionoDepartment of Surgery II, Faculty of Medicine, Yamagata University, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Ri ShoDepartment of Public Health and Hygiene, Yamagata University Graduate School of Medical Science, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThoracoscopic anatomical individual basilar segmentectomy remains challenging owing to the deep intraparenchymal location of the hilar structures and anatomical variations. We analyzed and reported the experience and progress of thoracoscopic anatomical individual basilar segmentectomy at our university hospital.

methodsWe retrospectively examined the patients who underwent anatomical basilar segmentectomy at our institution from January 2004 to December 2021. We divided our analysis period into two parts: the first period (2004-2012) was the introductory period of video-assisted thoracoscopic surgery (VATS) segmentectomy, and the second period (2013-2021) was the maturity period of VATS segmentectomy. The learning curve of the leading surgeon in the second period was also evaluated based on the operative time and cumulative sum value of the operative time.

resultsOverall, 127 cases were evaluated, among whom 33 and 94 cases were assessed during the introductory and maturity periods of thoracoscopic segmentectomy, respectively. Age (P = 0.003) and Charlson comorbidity index (P = 0.002) were higher in the second period than in the first period. Use of a uniport (P = 0.006) was higher, and postoperative hospitalization duration (P =  < 0.001) and operative time (P = 0.024) were shorter in the second period than in the first period. A learning curve obtained during the maturity period showed: The inflection point for the learning curve of thoracoscopic basilar segmentectomy was reached after 42 cases.

conclusionsWe have demonstrated a single institution's progress and learning curve for difficult segmentectomies. This may be helpful to institutions considering performing this surgery.

Indexed as

Lung NeoplasmsHumansLearning CurveMastectomy, SegmentalPneumonectomyRetrospective StudiesThoracic Surgery, Video-AssistedTreatment Outcome

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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.