Evidence map›Paper›PMID 37872322›Full record

ArticleScientific reports2023

The cancer inflammation prognostic index is a valuable biomarker for predicting the survival of patients with stage I-III colorectal cancer.

Hailun Xie, Lishuang Wei, Mingxiang Liu, Yanren Liang, Qiwen Wang, Shuangyi Tang, Jialiang Gan

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

7 authors.

Hailun Xie *Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Lishuang Wei *Department of Geriatric Respiratory Disease Ward, The First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.
Mingxiang LiuDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Yanren LiangDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Qiwen WangDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Shuangyi TangDepartment of Pharmacy, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China. tshy369@sina.com.
Jialiang GanDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China. gjl5172@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the relationship between the Cancer-Inflammation Prognostic Index (CIPI) and disease-free survival (DFS) and overall survival (OS) in patients with stage I-III colorectal cancer (CRC). The relationship between the CIPI and survival was evaluated using restricted cubic splines. Survival curves were established using the Kaplan-Meier method and the log-rank test. Cox proportional hazards models were used to explore independent prognostic factors for CRC. Meaningful variables from the multivariate analysis were used to construct prognostic nomograms. The relationship between the CIPI values on a continuous scale and the risk of DFS/OS mortality was an inverted L-shape. Patients with a high CIPI had significantly lower DFS (53.0% vs. 68.5%, p < 0.001) and OS (55.5% vs. 71.7%, p < 0.001) than those with a low CIPI. The CIPI can also serve as an effective auxiliary tool to further distinguish the prognosis of patients with CRC at the same pathological stage, especially for stages II and III. After multivariate adjustment, a high CIPI was found to be an independent risk factor for DFS (HR 1.443, 95% CI 1.203-1.730, p < 0.001) and OS (HR 1.442, 95% CI 1.189-1.749, p < 0.001) in CRC patients. These nomograms have the advantage of integrating individual profiles, tumour characteristics, and serum inflammatory markers, providing favourable discrimination and calibration values. Compared with traditional TNM staging, nomograms have a better predictive performance. The CIPI is an effective and easy-to-use clinical tool for predicting the recurrence and overall mortality of patients with stage I-III CRC.

Indexed as

Colorectal NeoplasmsBiomarkers, TumorHumansInflammationKaplan-Meier EstimatePrognosisRetrospective StudiesBiomarkers, Tumor

Identifiers

PMID37872322
PMCPMC10593829

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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.