Evidence map›Paper›PMID 41779425›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Prognostic Value of the Cancer Inflammation Prognostic Index (CIPI) in De Novo Metastatic Colon Cancer: A Multicenter Retrospective Cohort Study.

Akif Doğan, Sedat Yıldırım, Hande Nur Erölmez, Goncagül Akdağ, Hacer Şahika Yıldız, Zeynep Yüksel Yaşar, Heves Sürmeli, Nurullah İlhan, Özlem Nuray Sever, Hatice Odabaş and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. 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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0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Akif DoğanDepartment of Medical Oncology, Ministry of Health Şehit Prof. Dr. İlhan Varank Sancaktepe Training and Research Hospital, Istanbul, Turkey.ORCID 0000-0003-4275-2414
Sedat YıldırımDepartment of Medical Oncology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey.
Hande Nur ErölmezDepartment of Family Medicine, Ministry of Health Sancaktepe Şehit Prof. Dr. İlhan Varank Training and Research Hospital, Istanbul, Turkey.
Goncagül AkdağDepartment of Medical Oncology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey.
Hacer Şahika YıldızDepartment of Medical Oncology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey.
Zeynep Yüksel YaşarDepartment of Medical Oncology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey.
Heves SürmeliDepartment of Medical Oncology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey.
Nurullah İlhanDepartment of Medical Oncology, Ministry of Health Şehit Prof. Dr. İlhan Varank Sancaktepe Training and Research Hospital, Istanbul, Turkey.
Özlem Nuray SeverDepartment of Medical Oncology, Ministry of Health Şehit Prof. Dr. İlhan Varank Sancaktepe Training and Research Hospital, Istanbul, Turkey.
Hatice OdabaşDepartment of Medical Oncology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey.
Mahmut Emre YıldırımDepartment of Medical Oncology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey.
Nedim TuranDepartment of Medical Oncology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey.
Mahmut GümüşDepartment of Medical Oncology, Istanbul Medeniyet University Göztepe-South Campus, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionThe Cancer Inflammation Prognostic Index (CIPI) is a composite biomarker that integrates carcinoembryonic antigen (CEA), neutrophil, and lymphocyte counts to reflect both tumor burden and systemic inflammation. Although CIPI has demonstrated prognostic value in early-stage and previously treated metastatic colorectal cancer, its role in untreated, de novo metastatic colon cancer remains unclear.MethodsThis multicenter, retrospective cohort study included 287 patients diagnosed with de novo metastatic colon cancer between 2010 and 2023. CIPI was calculated by multiplying serum CEA by the neutrophil-to-lymphocyte ratio, and the optimal cutoff value for overall survival (OS) was determined using receiver operating characteristic (ROC) curve analysis. Patients were stratified into low- and high-CIPI groups based on this threshold.ResultsThe median follow-up period was 4.0 years, during which 202 patients (70.4%) died. The optimal CIPI cutoff value for OS was 86.09. Median OS was significantly shorter in the high-CIPI group compared with the low-CIPI group (36.0 vs 14.5 months, p < 0.001). In multivariable Cox regression analysis, a high CIPI remained an independent prognostic factor for OS (hazard ratio, 2.29; 95% confidence interval, 1.65-3.17; p < 0.001). In a separate multivariable model, elevated CEA was also independently associated with poorer overall survival.ConclusionCIPI independently predicts overall survival in patients with de novo metastatic colon cancer. Its simplicity, cost-effectiveness, and derivation from routine laboratory data make it a practical and promising tool for baseline risk stratification and individualized follow-up planning.

Indexed as

Colonic NeoplasmsInflammationAgedBiomarkers, TumorCarcinoembryonic AntigenFemaleHumansMaleMiddle AgedNeoplasm MetastasisNeutrophilsPrognosisRetrospective StudiesBiomarkers, TumorCarcinoembryonic Antigencancer inflammation prognostic index (CIPI)colorectal cancerde novo metastatic colon cancerinflammation indexoverall survivalprognostic biomarkerreal-world study

Identifiers

PMID41779425
PMCPMC12961104

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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.