Evidence map›Paper›PMID 40247181›Full record

ArticleBMC cancer2025

Prognostic analysis of patients with CRLM based on CRS score: a single-center retrospective study.

Jun-Shuai Xue, Nuersimanguli Maimaitiming, Bo-Lun Zhang, Bo-Wen Xu, Xin Yin, Zhen Huang, Xu Che, Hong Zhao, Jian-Qiang Cai

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

9 authors.

Jun-Shuai XueDepartment of Hepatobiliary Surgery, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Nuersimanguli MaimaitimingDepartment of Hepatobiliary Surgery, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Bo-Lun ZhangDepartment of Hepatobiliary Surgery, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Bo-Wen XuDepartment of Hepatobiliary Surgery, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Xin YinDepartment of Hepatobiliary Surgery, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zhen HuangDepartment of Hepatobiliary Surgery, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Xu CheDepartment of Hepatobiliary Surgery, Shenzhen Center, Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen, 518000, China.
Hong ZhaoDepartment of Hepatobiliary Surgery, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jian-Qiang CaiDepartment of Hepatobiliary Surgery, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. caijianqiang@cicams.ac.cn.

Funding

CAMS Initiative for Innovative Medicine 2021-I2M-1-015CAMS Innovation Fund for Medical Sciences 2021-I2M-1-066CAMS Innovation Fund for Medical Sciences (CIFMS) 2021-I2M-C&T-B-057National Key Research and Development Program of China 2023YFC3403800 & 2023YFC3403804National Natural Science Foundation of China 81972311 & 82141127Sanming Project of Medicine in Shenzhen SZSM202011010Shenzhen High-level Hospital Construction Fund and Supported by Shenzhen Key Medical Discipline Construction Fund SZSM202011010the Nonprofit Central Research Institute Fund of Chinese Academy of Medical Sciences 2019PT310026
6 · The paper itself

Abstract

backgroundTo improve prognosis of patients with synchronous colorectal liver metastasis (CRLM), we constructed a nomogram model to improve outcome through risk stratification and decision support.

methodsThe 389 CRLM patients (273 training set and 116 validation set at a ratio of 7: 3) receiving systematic chemotherapy and synchronously resection with/without radiofrequency ablation (RFA) were retrospectively investigated. Overall survival (OS) and recurrence free survival (RFS) were mainly endpoint. A normo-gram model was conduct. The receiver operating characteristic (ROC) curve, decision curve analysis (DCA), C-index and calibration curve were performed to assess stablity and efficacy of model. The prognosis was evaluated based on Kaplan-Meier (KM) curve.

resultsA total of 389 CRLM patients were included. The median OS and RFS times were 70.20 months (95% CIs: 57.73, 82.68) and 11.70 months (95% CIs: 9.75, 13.65), respectively. These patients were divided into training set and validation set at a ratio of 7: 3. In training set, 1, 3, and 5-year survival rate of OS was 97.38%, 71.18%, and 54.56% as well as RFS was 52.57%, 22.65%, and 21.12%, respectively. Cox model showed that hospital day, R0 resection, RFA, only neoadjuvant chemotherapy and CRS score were independent prognostic factors for CRLM patients. The patients were divided into high-risk group and low-risk group based on cut-off value of score calculated by model. The KM curves were statistically different between two groups (P < 0.01). The ROC curve, DCA and calibration curve showed a good prediction efficacy. the C-index of OS and RFS were 0.72 and 0.68, respectively, which were also verified in the validation set (OS, 0.71; RFS, 0.65).

conclusionsA good prediction model was developed and validated to assess the prognoses of CRLM patients. Systematic chemotherapy and R0 resection could benefit patients' survival and improve prognosis.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsAdultAgedFemaleHepatectomyHumansKaplan-Meier EstimateMaleMiddle AgedNomogramsPrognosisRadiofrequency AblationRetrospective StudiesROC CurveChemotherapyColorectal liver metastasisPrognosisSurgery

Identifiers

PMID40247181
PMCPMC12004860

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.