Evidence map›Paper›PMID 30830639›Full record

ArticleGastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association2019

Operation time as a simple indicator to predict the overcoming of the learning curve in gastric cancer surgery: a multicenter cohort study.

Tae-Han Kim, Keun Won Ryu, Jun Ho Lee, Gyu-Seok Cho, Woo Jin Hyung, Chan-Young Kim, Min-Chan Kim, Seung Wan Ryu, Dong Woo Shin, Hyuk-Joon Lee

Open access · bronzeAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Open versus laparoscopic gastrectomy for advanced gastric cancer: a propensity score matching analysis of survival in a western population-on behalf of the Italian Research Group for Gastric Cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2022
    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

10 authors at 10 institutions in 2 countries.

Tae-Han KimDepartment of Surgery and Cancer Research Institute, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu 110-744, Seoul, South Korea.
Keun Won RyuGastric Cancer Center, National Cancer Center, Goyang, South Korea.
Jun Ho LeeGastric Cancer Center, National Cancer Center, Goyang, South Korea.
Gyu-Seok ChoDepartment of Surgery, Soon Chun Hyang University Bucheon Hospital, Bucheon, South Korea.
Woo Jin HyungDepartment of Surgery, Yonsei University Severance Hospital, Seoul, South Korea.
Chan-Young KimDepartment of Surgery, Chonbuk National University Hospital, Jeonju, South Korea.
Min-Chan KimDepartment of Surgery, Dong-A University Hospital, Busan, South Korea.
Seung Wan RyuDepartment of Surgery, Keimyung University Dongsan Hospital, Daegu, South Korea.
Dong Woo ShinDepartment of Surgery, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, South Korea.
Hyuk-Joon LeeDepartment of Surgery and Cancer Research Institute, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu 110-744, Seoul, South Korea. appe98@snu.ac.kr.ORCID http://orcid.org/0000-0002-9530-647X
Bucheon University · KRCancer Research Institute · USChangwon National University · KRDong-A University Hospital · KRHallym University Dongtan Sacred Heart Hospital · KRJeonbuk National University Hospital · KRKeimyung University · KRNational Cancer Center · KRSamsung Medical Center · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to identify an indicator to predict the overcoming of the learning curve of distal gastrectomy in gastric cancer surgery.

methodA retrospective multicenter cohort study was conducted in 2100 patients who underwent radical distal gastrectomy performed by nine surgeons in eight hospitals between 2001 and 2006. For each surgeon, an individual CUSUM chart was formulated in terms of operation time or clinical outcomes, including severe complications, number of retrieved lymph nodes, positive resection margin, and hospital stay. The actual changing points (CPs) of the CUSUM charts were analyzed. Based on the CP, patients were divided into pre-CP and post-CP groups, and the clinicopathologic outcomes and survival data were compared between the groups.

resultsCP determined by operation time was more reliable than CP determined by a combination of clinical outcomes, as the former was correlated not only with short-term outcomes but also with survival. The outcomes were superior in the post-CP group in terms of numbers of harvested lymph nodes, sufficient lymph node harvesting (> 15), and negative proximal margins. In a survival analysis, the post-CP group showed better survival than the pre-CP group in stage II (76% vs 86.1% p = 0.010) and stage III (51.5% vs 60.6% p = 0.042).

conclusionOvercoming the learning curve of distal gastrectomy for gastric cancer can be better predicted by operation time rather than by a combination of postoperative clinical parameters. It is recommended that surgeons initially operate on early stage cancer patients before overcoming the learning curve.

Indexed as

Learning CurveOperative TimePostoperative ComplicationsAdultAgedAged, 80 and overFemaleFollow-Up StudiesGastrectomyHumansLength of StayLymph Node ExcisionMaleMiddle AgedRetrospective StudiesStomach NeoplasmsCancerGastrectomyLearning

Identifiers

PMID30830639
OpenAlexW2919795657

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.