Evidence map›Paper›PMID 35111822›Full record

ArticleFrontiers in cardiovascular medicine2021

Estimating Risk of Cardiovascular Disease Among Long-Term Colorectal Cancer Survivors: A Nationwide Cohort Study.

Seogsong Jeong, Gyeongsil Lee, Seulggie Choi, Kyae Hyung Kim, Jooyoung Chang, Sung Min Kim, Kyuwoong Kim, Joung Sik Son, Yoosun Cho, Sang Min Park

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  4. Trends in ischemic heart disease mortality among older adults with co-existing colorectal cancer in the US (1999-2023): a 25-Year retrospective study.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025
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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 4 institutions in 1 country.

Seogsong JeongDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Gyeongsil LeeDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Seulggie ChoiDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Kyae Hyung KimDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Jooyoung ChangDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Sung Min KimDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Kyuwoong KimNational Cancer Control Institute, National Cancer Center, Goyang-si, South Korea.
Joung Sik SonDepartment of Family Medicine, Korea University Guro Hospital, Seoul, South Korea.
Yoosun ChoTotal Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Sang Min ParkDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Seoul National University · KRSeoul National University Hospital · KRKangbuk Samsung Hospital · KRKorea University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConcerns about a growing number of colorectal cancer survivors have emerged regarding cardiovascular disease (CVD) risks. However, there is not yet a predictive tool that can estimate CVD risk and support the management of healthcare as well as disease prevention in terms of CVD risk among long-term colorectal cancer survivors.

aimTo develop predictive tools to estimate individualized overall and each subtype of CVD risk using a nationwide cohort in South Korea. METHODS AND

resultsA total of 4,709 newly diagnosed patients with colorectal cancer who survived at least 5 years in the National Health Insurance System were analyzed. Cox proportional hazard regression was used for the identification of independent risk factors for the derivation of predictive nomograms, which were validated in an independent cohort (

conclusionsThe predictive tools were developed with satisfactory accuracy. The derived nomograms may support the estimation of overall and individual CVD risk for long-term colorectal cancer survivors.

Indexed as

cancer survivorscardiovascular diseasecoronary heart diseasegastrointestinal cancerstroke

Identifiers

PMID35111822
PMCPMC8801493
OpenAlexW4206373194

What OpenQuestion holds

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LicenceCC BY
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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.