Evidence map›Paper›PMID 27752390›Full record

ReviewJournal of gastric cancer2016

Korean Gastric Cancer Association Nationwide Survey on Gastric Cancer in 2014.

Information Committee of Korean Gastric Cancer Association

Erratum issuedOpen access · hybridAbstract readReview
In one paragraph

Review in Journal of gastric cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 115 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 3 pooled it
16.4field-weighted citation impact, top 1% 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

115 citing papers in PubMed, 3 syntheses or guidelines pooled it, 190 citations in OpenAlex.

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  12. Impact of robotic surgery proportion among minimally invasive gastrectomy on surgical complications.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
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55 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 2 countries.

Information Committee of Korean Gastric Cancer Association
National Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Korean Gastric Cancer Association (KGCA) has conducted nationwide surveys every 5 years, targeting patients who received surgical treatment for gastric cancer. We report the results of the 2014 nationwide survey and compare them to those of the 1995, 1999, 2004, and 2009 surveys. MATERIALS AND

methodsFrom March 2015 to January 2016, a standardized case report form was sent to every member of the KGCA via e-mail. The survey consisted of 29 questions, regarding patient demographics as well as tumor-, and surgery-related factors. The completed data forms were analyzed by the KGCA information committee.

resultsData on 15,613 patients were collected from 69 institutions. The mean age was 60.9±12.1 years, and the proportion of patients more than 70 years of age increased from 9.1% in 1995 to 25.3% in 2014. Proximal cancer incidence steadily increased from 11.2% in 1995 to 16.0% in 2014. Early gastric cancer incidence consistently increased and accounted for 61.0% of all cases in 2014. The surgical approach was diversified in 2014, and 7,818 cases (50.1%) were treated with a minimally invasive approach. The most common anastomosis was Billroth I (50.2%) after distal gastrectomy, and the proportion of Roux-en-Y anastomoses performed increased to 8.6%.

conclusionsThe results of this survey are expected to be important data for future studies and to be useful for generating a national cancer control program.

Indexed as

Health care surveysKoreaStomach neoplasms

Identifiers

PMID27752390
PMCPMC5065942
OpenAlexW2962743473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.