Evidence map›Paper›PMID 32146787›Full record

ArticleAnnals of coloproctology2020

Long-term Oncologic Outcome and Its Relevant Factors in Anal Cancer in Korea: A Nationwide Data Analysis.

Hyuk Hur, Kyu-Won Jung, Byung-Woo Kim, Chang-Mo Oh, Young-Joo Won, Jae Hwan Oh, Nam Kyu Kim

Abstract read
In one paragraph

Article in Annals of coloproctology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

7 authors.

Hyuk HurKorean Colorectal Cancer Study Group (KOCCS), The Korean Society of Coloproctology, Seoul, Korea.
Kyu-Won JungCancer Registration and Statistics Branch, National Cancer Center, Goyang, Korea.
Byung-Woo KimCancer Registration and Statistics Branch, National Cancer Center, Goyang, Korea.
Chang-Mo OhCancer Registration and Statistics Branch, National Cancer Center, Goyang, Korea.
Young-Joo WonCancer Registration and Statistics Branch, National Cancer Center, Goyang, Korea.
Jae Hwan OhKorean Colorectal Cancer Study Group (KOCCS), The Korean Society of Coloproctology, Seoul, Korea.
Nam Kyu KimKorean Colorectal Cancer Study Group (KOCCS), The Korean Society of Coloproctology, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAnal cancer is a rare disease in Korea, and thus survival analyses are limited by small sample sizes. This study used the Korea Central Cancer Registry (KCCR) for a survival analysis and for assessing characteristics of anal cancer in a large sample of Koreans.

methodsFrom the KCCR, data on 3,615 patients who were diagnosed and treated for anal cancer from 1993 to 2015 were retrieved. Clinicopathologic variables including age, sex, histological type, and Surveillance Epidemiology and End Results (SEER) stage were reviewed, and a survival analysis was performed according to these variables.

resultsThe 5-year relative survival rate improved from 39.7% in 1993-1995 to 66.5% in 2011-2015. Squamous cell carcinoma was the most common and showed the highest survival rate. Males and older patients (≥40 years and ≥70 years) showed poor prognoses.

conclusionThe survival rate for anal cancer in Korea has improved steadily over time. The characteristics related to survival were the histological type, sex, and age. These statistics will be fundamental for future Korean anal cancer research.

Indexed as

AnusCancerKoreaRegistrySurvival

Identifiers

PMID32146787
PMCPMC7069677

What OpenQuestion holds

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LicenceCC BY-NC
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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.