Evidence map›Paper›PMID 19116741›Full record

ArticleSurgical endoscopy2009

Multidimensional analysis of the learning curve for laparoscopic colorectal surgery: lessons from 1,000 cases of laparoscopic colorectal surgery.

In Ja Park, Gyu-Seog Choi, Kyoung-Hoon Lim, Byung-Mo Kang, Soo-Han Jun

Abstract read
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Article in Surgical endoscopy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 5 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

48 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  20. Laparoscopy for Rectal Cancer.Clinics in colon and rectal surgery · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

In Ja ParkDepartment of Surgery, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, 50, Samduk-dong 2ga, Jung-gu, Daegu, South Korea. ijpark7@gmail.com
Gyu-Seog Choi
Kyoung-Hoon Lim
Byung-Mo Kang
Soo-Han Jun

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe consider quality of surgery throughout the learning curve and attempt to determine the learning curve for competency in performing laparoscopic colorectal surgery.

methodsThe study included 1,014 patients who underwent laparoscopic colorectal resection between June 1996 and December 2007. We categorized patients into nine periods according to number of cases performed.

resultsOperative time continuously decreased for right hemicolectomy (216 versus 150 min) and anterior resection (214.8 versus 147.7 min), whereas for low anterior resection it did not change over many periods and then significantly decreased after the ninth period (221.3 versus 176.4 min). The proportion of patients who had undergone previous abdominal surgery increased after the second period. Anastomotic leakage rate was 6-9% for the first 200 cases, and then decreased to less than 2%. More than 10% of operations were converted to open surgery during the first period, after which this rate significantly decreased to 2%. Number of harvested lymph nodes stabilized to 35-40 for right hemicolectomy after 200 cases, whereas for anterior and low anterior resection it was consistently 15-20 after the initial 20 cases. Overall, disease recurrence rate was 16-25%. For rectal cancer, local recurrence rate was highest (12%) in the fourth period and decreased thereafter to about 3%.

conclusionPostoperative complications and local recurrence rate increased even after accumulation of experience because of expansion of indications for laparoscopic procedures.

Indexed as

Clinical CompetenceColectomyColorectal NeoplasmsHumansKoreaLaparoscopyNeoplasm Recurrence, LocalOutcome Assessment, Health CareRetrospective Studies

Identifiers

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Read underepoch 390

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.