Evidence map›Paper›PMID 38453817›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

Prognostic value of dynamic changes of pre- and post-operative tumor markers in colorectal cancer.

Guangming Ren, Gaozan Zheng, Kunli Du, Zhangfeng Dang, Hanjun Dan, Xinyu Dou, Lili Duan, Zhenyu Xie, Liaoran Niu, Ye Tian and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

12 authors.

Guangming Ren *Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.ORCID http://orcid.org/0009-0001-4564-3339
Gaozan Zheng *Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Kunli Du *Department of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Zhangfeng DangDepartment of General Surgery, Air Force 986(Th) Hospital, Fourth Military Medical University, Xi'an, China.
Hanjun DanDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Xinyu DouDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Lili DuanDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Zhenyu XieDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Liaoran NiuDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Ye TianDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Jianyong ZhengDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China. zhjy68@163.com.
Fan FengDepartment of Gastrointestinal Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China. surgeonfengfan@163.com.ORCID http://orcid.org/0000-0002-5219-8632

Funding

National Natural Science Foundation of China 82072655
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) prognosis assessment is vital for personalized treatment plans. This study investigates the prognostic value of dynamic changes of tumor markers CEA, CA19-9, CA125, and AFP before and after surgery and constructs prediction models based on these indicators.

methodsA retrospective clinical study of 2599 CRC patients who underwent radical surgery was conducted. Patients were randomly divided into training (70%) and validation (30%) datasets. Univariate and multivariate Cox regression analyses identified independent prognostic factors, and nomograms were constructed.

resultsA total of 2599 CRC patients were included in the study. Patients were divided into training (70%, n = 1819) and validation (30%, n = 780) sets. Univariate and multivariate Cox regression analyses identified age, total number of resected lymph nodes, T stage, N stage, the preoperative and postoperative changes in the levels of CEA, CA19-9, and CA125 as independent prognostic factors. When their postoperative levels are normal, patients with elevated preoperative levels have significantly worse overall survival. However, when the postoperative levels of CEA/CA19-9/CA125 are elevated, whether their preoperative levels are elevated or not has no significance for prognosis. Two nomogram models were developed, and Model I, which included CEA, CA19-9, and CA125 groups, demonstrated the best performance in both training and validation sets.

conclusionThis study highlights the significant predictive value of dynamic changes in tumor markers CEA, CA19-9, and CA125 before and after CRC surgery. Incorporating these markers into a nomogram prediction model improves prognostic accuracy, enabling clinicians to better assess patients' conditions and develop personalized treatment plans.

Indexed as

Biomarkers, TumorCA-125 AntigenCA-19-9 AntigenCarcinoembryonic AntigenColorectal NeoplasmsNomogramsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPostoperative PeriodPreoperative PeriodPrognosisBiomarkers, TumorCA-125 AntigenCA-19-9 AntigenCarcinoembryonic AntigenColorectal cancerNomogramPostoperativePreoperativePrognosisTumor marker

Identifiers

What OpenQuestion holds

Textmetadata
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.