Evidence map›Paper›PMID 40781283›Full record

ArticleBMC cancer2025

Impact of preoperative abdominal MRI staging on outcomes for stage II-III colon cancer: a propensity score-matched cohort study.

Maoshu Bai, Lizhu Liu, Mengmei Liu, Xin Liu, Tingting Xu, Kun Yu, Hongjiang Pu, Zhenhui Li

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

8 authors.

Maoshu Bai *Department of Oncology, Dazhou Integrated Traditional Chinese Medicine and Western Medicine Hospital, Dazhou Second People's Hospital, Dazhou, Sichuan, 635000, China.
Lizhu Liu *Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, China.
Mengmei Liu *School of Public Health, Kunming Medical University, Kunming, 650599, China.
Xin Liu *Molecular Diagnosis Center, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan Hospital, Yunnan Cancer Hospital, Kunming, 650118, China.
Tingting XuDepartment of Oncology, The People's Hospital of Chuxiong Yi Autonomous Prefecture, Chuxiong, 675000, China.
Kun YuDepartment of Colorectal Surgery, The Third Affiliated Hospital of Kunming Medical University, Peking University Cancer Hospital Yunnan Hospital, Yunnan Cancer Hospital, Kunming, 650118, China. kinfish@163.com.
Hongjiang PuDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, China. puhongjiang@qq.com.
Zhenhui LiDepartment of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, China. lizhenhui621@qq.com.

Funding

Chengdu Medical College Research Foundation Project CYZYB24-17Dazhou Science and Technology Program [2022YYJC0014]Dazhou Vocational College of Traditional Chinese Medicine, Dazhou Administration of Traditional Chinese Medicine 2025LHZRZD01National Natural Scientific Foundation of China 82360345,82001986
6 · The paper itself

Abstract

objectivePreoperative MRI staging offers a noninvasive approach to assess local tumor invasion and distant metastasis. Attention has been paid to investigating the impact of preoperative abdominal MRI staging on the prognosis of patients with stage II-III colon cancer.

methodsPatients who underwent radical resection for stage II-III colon cancer at Yunnan Cancer Hospital between 2008 and 2017 were retrospectively analyzed and divided into preoperative MRI and non-MRI groups. Propensity score matching (PSM) was applied to balance patient characteristics. Overall survival (OS) and Disease-free survival (DFS) were compared using the Kaplan-Meier method and log-rank test. Additionally, Cox regression was used to evaluate the correlation between preoperative MRI and prognosis, and subgroup analyses further compared the two groups. For multivariable analysis, two models were constructed and compared.

resultsAmong 1086 patients included, 29.28% underwent preoperative abdominal MRI. Patients who received preoperative MRI demonstrated better OS (log-rank p = 0.002), particularly those with stage III colon cancer (p < 0.05). After PSM, the MRI group exhibited significantly better 5-year OS (90.0% vs. 82.0%, P = 0.019) and a lower risk of death (HR, 1.66; 95% CI, 1.07-2.56; P = 0.024). Subgroup analysis revealed that the OS of preoperative MRI was significant in stage III patients. However, no significant difference was observed in DFS between the two groups. Furthermore, compared to the MRI group, the non-MRI group showed a statistically significant increased risk in model 1 (OR = 1.63, 95% CI: 1.08-2.44, P = 0.020) and model 2 (OR = 1.79, 95% CI: 1.17-2.73, P = 0.007) in terms of OS.

conclusionPreoperative abdominal MRI significantly enhances OS in patients with stage II-III colon cancer, especially in those with stage III disease. However, the specific role of MRI in treatment planning, as well as the potential impact of different treatment approaches on outcomes, warrants further investigation into the treatment decision-making processes.

Indexed as

Colonic NeoplasmsMagnetic Resonance ImagingAbdomenAdultAgedFemaleHumansMaleMiddle AgedNeoplasm StagingPreoperative CarePreoperative PeriodPrognosisPropensity ScoreRetrospective StudiesColon cancerMagnetic resonance imagingMulticollinearity analysisOverall survivalPropensity score matching

Identifiers

PMID40781283
PMCPMC12333300

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.