Evidence map›Paper›PMID 33738248›Full record

ArticleFrontiers in oncology2021

A Prognostic Nomogram of Colon Cancer With Liver Metastasis: A Study of the US SEER Database and a Chinese Cohort.

Chuan Liu, Chuan Hu, Jiale Huang, Kanghui Xiang, Zhi Li, Jinglei Qu, Ying Chen, Bowen Yang, Xiujuan Qu, Yunpeng Liu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  4. Prognostic Index for Liver Radiation (PILiR).Current oncology (Toronto, Ont.) · 2024
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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.

Chuan LiuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Chuan HuMedical College, Qingdao University, Qingdao, China.
Jiale HuangDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Kanghui XiangDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Zhi LiDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Jinglei QuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Ying ChenDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Bowen YangDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Xiujuan QuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Yunpeng LiuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Guangwei ZhangSmart Hospital Management Department, The First Hospital of China Medical University, Shenyang, China.
Ti WenDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong colon cancer patients, liver metastasis is a commonly deadly phenomenon, but there are few prognostic models for these patients.

methodsThe clinicopathologic data of colon cancer with liver metastasis (CCLM) patients were downloaded from the Surveillance, Epidemiology and End Results (SEER) database. All patients were randomly divided into training and internal validation sets based on the ratio of 7:3. A prognostic nomogram was established with Cox analysis in the training set, which was validated by two independent validation sets.

resultsA total of 5,700 CCLM patients were included. Age, race, tumor size, tumor site, histological type, grade, AJCC N status, carcinoembryonic antigen (CEA), lung metastasis, bone metastasis, surgery, and chemotherapy were independently associated with the overall survival (OS) of CCLM in the training set, which were used to establish a nomogram. The AUCs of 1-, 2- and 3-year were higher than or equal to 0.700 in the training, internal validation, and external validation sets, indicating the favorable effects of our nomogram. Besides, whether in overall or subgroup analysis, the risk score calculated by this nomogram can divide CCLM patients into high-, middle- and low-risk groups, which suggested that the nomogram can significantly determine patients with different prognosis and is suitable for different patients.

conclusionHigher age, the race of black, larger tumor size, higher grade, histological type of mucinous adenocarcinoma and signet ring cell carcinoma, higher N stage, RCC, lung metastasis, bone metastasis, without surgery, without chemotherapy, and elevated CEA were independently associated with poor prognosis of CCLM patients. A nomogram incorporating the above variables could accurately predict the prognosis of CCLM.

Indexed as

colon cancer with liver metastasisexternal validationnomogramoverall survivalprognostic factors

Identifiers

PMID33738248
PMCPMC7962604

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