Evidence map›Paper›PMID 38288537›Full record

ArticleJournal of Korean medical science2024

Factors Affecting Adherence to National Colorectal Cancer Screening: A 12-Year Longitudinal Study Using Multi-Institutional Pooled Data in Korea.

Dae Sung Kim, Jeeyoung Hong, Kihyun Ryu, Sang Hyuk Lee, Hwanhyi Cho, Jehyeong Yu, Jieun Lee, Jong-Yeup Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

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

  1. Pooled it
  2. 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

8 authors at 2 institutions in 1 country.

Dae Sung Kim *Division of Gastroenterology, Department of Internal Medicine, Konyang University College of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-4881-7883
Jeeyoung Hong *Biomedical Research Institute, Konyang University Medical Center, Daejeon, Korea.ORCID https://orcid.org/0000-0003-4540-0780
Kihyun RyuDivision of Gastroenterology, Department of Internal Medicine, Konyang University College of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0003-0595-6776
Sang Hyuk LeeDivision of Gastroenterology, Department of Internal Medicine, Konyang University College of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0003-2190-7069
Hwanhyi ChoDivision of Gastroenterology, Department of Internal Medicine, Konyang University College of Medicine, Daejeon, Korea.ORCID https://orcid.org/0009-0002-4561-9758
Jehyeong YuHealthcare Data Science Center, Konyang University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0002-1219-9681
Jieun LeeHealthcare Data Science Center, Konyang University Hospital, Daejeon, Korea.ORCID https://orcid.org/0000-0001-9229-5552
Jong-Yeup KimDepartment of Biomedical Informatics, Konyang University College of Medicine, Daejeon, Korea. jykim@kyuh.ac.kr.ORCID https://orcid.org/0000-0003-1230-9307
Konyang University · KRKonyang University Hospital · KR

Funding

Korea Health Industry Development InstituteMinistry of Health and Welfare HI19C1310Ministry of Health and Welfare HI22C1518
6 · The paper itself

Abstract

backgroundConsistent uptake of colorectal cancer (CRC) screening is important to reduce the incidence and mortality from advanced-stage CRC and increase the survival rate of the patients. We conducted a longitudinal study to determine the factors affecting CRC screening compliance in Korean adults using individual-level linked data from the Korean National Health and Nutrition Examination Survey, Korean National Health Insurance Service, and Korean Health Insurance Review and Assessment Service.

methodsWe selected 3,464 adults aged 50-79 years as the study population and followed them for 12 years (January 2007-December 2018). The outcome variable was the level of adherence to CRC screening, categorized as nonadherent, intermittently adherent, and consistently adherent. An ordinal logistic regression model was designed to determine the socioeconomic factors, family history of CRC, and medical conditions that could facilitate the consistent uptake of CRC screening.

resultsThe results showed a significant and positive association between consistent uptake of CRC screening and the 100-150% income category (odds ratio [OR], 1.710; 95% confidence interval [CI], 1.401-2.088); clerical, sales and service job category (OR, 1.962; 95% CI, 1.582-2.433); residency at medium-sized cities (OR, 1.295; 95% CI, 1.094-1.532); high-school graduation (OR, 1.440; 95% CI, 1.210-1.713); married status (OR, 2.281; 95% CI, 1.946-2.674); use of employment-based national health insurance (OR, 1.820; 95% CI, 1.261-2.626); use of private insurance (OR, 2.259; 95% CI, 1.970-2.589); no disability (OR, 1.428; 95% CI, 1.175-1.737); family history of CRC (OR, 2.027; 95% CI, 1.514-2.714); and history of colorectal neoplasm (OR, 1.216; 95% CI; 1.039-1.422).

conclusionThe lack of regular participation in CRC screening programs in the Republic of Korea was found to be an issue that requires attention. Policies on CRC screening must place increased emphasis on strengthening educational and public relations initiatives.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerAgedHumansLongitudinal StudiesMass ScreeningMiddle AgedMulticenter Studies as TopicNutrition SurveysRepublic of KoreaCancer ScreeningColorectal CancerFollow-up StudiesSecondary Prevention

Identifiers

PMID38288537
PMCPMC10825459
OpenAlexW4390886286

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.