Evidence map›Paper›PMID 37400788›Full record

Trial reportBMC cancer2023

Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer.

Jinming Fu, Fenqi Du, Tian Tian, Hao Huang, Lei Zhang, Dapeng Li, Yupeng Liu, Ding Zhang, Lijing Gao, Ting Zheng and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC cancer, 2023. 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. Review
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.

Jinming Fu *Department of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Fenqi Du *Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Tian TianDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Hao HuangDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Lei ZhangDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Dapeng LiDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Yupeng LiuDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Ding ZhangDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Lijing GaoDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Ting ZhengDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China.
Yanlong LiuDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Harbin, 150081, Heilongjiang Province, People's Republic of China. liuyanlong@hrbmu.edu.cn.
Yashuang ZhaoDepartment of Epidemiology, College of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang Province, People's Republic of China. zhao_yashuang@263.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic derangements and systemic inflammation are related to the progression of colorectal cancer (CRC) and the prognoses of these patients. The survival of stage II and III CRC patients existed considerable heterogeneity highlighting the urgent need for new prediction models. This study aimed to develop and validate prognostic nomograms based on preoperative serum liver enzyme as well as evaluate the clinical utility.

methodsA total of 4014 stage II/III primary CRC patients pathologically diagnosed from January 2007 to December 2013 were included in this study. These patients were randomly divided into a training set (n = 2409) and a testing set (n = 1605). Univariate and multivariate Cox analyses were used to select the independent factors for predicting overall survival (OS) and disease-free survival (DFS) of stage II/III CRC patients. Next, nomograms were constructed and validated to predict the OS and DFS of individual CRC patients. The clinical utility of nomograms, tumor-node-metastasis (TNM), and the American Joint Committee on Cancer (AJCC) system was evaluated using time-dependent ROC and decision curve analyses.

resultsAmong seven preoperative serum liver enzyme markers, aspartate aminotransferase-to-alanine aminotransferase ratio (De Ritis ratio) was identified as an independent factor for predicting both OS and DFS of stage II/III CRC patients. The nomograms incorporated De Ritis ratio and significant clinicopathological features achieved good accuracy in terms of OS and DFS prediction, with C-index of 0.715 and 0.692, respectively. The calibration curve showed good agreement between prediction by nomogram and actual observation. The results of time-dependent ROC and decision curve analyses suggested that the nomograms had improved discrimination and greater clinical benefits compared with TNM and AJCC staging.

conclusionsDe Ritis ratio was an independent predictor in predicting both the OS and DFS of patients with stage II/III CRC. Nomograms based on De Ritis ratio and clinicopathological features showed better clinical utility, which is expected to help clinicians develop appropriate individual treatment strategies for patients with stage II /III CRC.

Indexed as

Colorectal NeoplasmsNomogramsDisease-Free SurvivalHumansNeoplasm StagingPrognosisColorectal cancerDe Ritis ratioNomogramsPreoperative serum liver enzyme markersPrognosis

Identifiers

PMID37400788
PMCPMC10318767

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.