Evidence map›Paper›PMID 41851916›Full record

ArticleJournal of primary care & community health

Enhancing Cancer Prediction Among People With Elevated CEA: A Novel Approach Using CEA Levels and Clinical Risk Scoring.

Nithi Thinrungroj, Sirikanya Wisetkupt, Kanokporn Pinyopornpanish, Songporn Oranratnachai, Kanokwan Pinyopornpanish, Chaisiri Angkurawaranon

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Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Nithi ThinrungrojDivision of Gastroenterology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0001-7355-2680
Sirikanya WisetkuptDivision of Gastroenterology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Kanokporn PinyopornpanishDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0001-9068-3834
Songporn OranratnachaiSriphat Medical Center, Faculty of medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0003-3036-2478
Kanokwan PinyopornpanishDivision of Gastroenterology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0002-5231-7582
Chaisiri AngkurawaranonDivision of Gastroenterology, Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID 0000-0003-4206-9164

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCarcinoembryonic antigen (CEA) is a blood biomarker with significance in cancer monitoring and prognosis prediction. Despite not being a primary diagnostic tumor marker, it is frequently measured in clinical practice and health check-ups in primary care services, often prompting extensive investigations due to its non-specific nature. This study investigated the integration of CEA levels with a clinical risk scoring system to enhance cancer prediction in individuals with elevated CEA.

methodsWe retrospectively reviewed records, focusing on people who participated in general health check-up programs. Participants with elevated CEA levels (≥5 ng/mL) and no previous cancer diagnosis were selected. A multivariable logistic regression model was employed to establish the risk scoring system, which was then evaluated using Receiver Operating Characteristic (ROC) analysis.

resultsAmong 17 859 participants, 310 had elevated CEA levels, with 7.40% subsequently diagnosed with cancer, primarily colorectal cancer. Combining the clinical risk scoring system with CEA levels significantly improved cancer prediction, with an Area under the ROC curve of 0.918, compared to 0.825 for CEA levels alone.

conclusionCEA, alongside clinical risk prediction, shows promise in predicting cancer among individuals with high CEA levels. This integrated approach can optimize early cancer detection strategies and improve patient outcomes.

Indexed as

Biomarkers, TumorCarcinoembryonic AntigenEarly Detection of CancerNeoplasmsAdultAgedColorectal NeoplasmsFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk AssessmentROC CurveBiomarkers, TumorCarcinoembryonic Antigencancercarcinoembryonic antigenclinical risk scorepredictionscreening

Identifiers

PMID41851916
PMCPMC13010008

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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.