Evidence map›Paper›PMID 33215031›Full record

ArticleFrontiers in oncology2020

Prognostic Values of Preoperative Inflammatory and Nutritional Markers for Colorectal Cancer.

Nannan Zhang, Feilong Ning, Rui Guo, Junpeng Pei, Yun Qiao, Jin Fan, Bo Jiang, Yanlong Liu, Zhaocheng Chi, Zubing Mei and 4 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2020. 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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  12. Increased Kremen2 predicts worse prognosis in colon cancer.Pathology oncology research : POR · 2023
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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

14 authors.

Nannan ZhangState key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, China.
Feilong NingDepartment of General Surgery, Xuzhou Hospital of Traditional Chinese Medicine, Xuzhou, China.
Rui GuoDepartment of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China.
Junpeng PeiDepartment of Gastrointestinal Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Yun QiaoDepartment of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China.
Jin FanDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Bo JiangDepartment of Colorectal Anal Surgery, Shanxi Province Cancer Hospital & Institute, Taiyuan, China.
Yanlong LiuDepartment of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Zhaocheng ChiSecond Department of Gastrointestinal Surgery, Jilin Cancer Hospital, Changchun, China.
Zubing MeiDepartment of Anorectal Surgery, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Masanobu AbeDivision for Health Service Promotion, University of Tokyo, Tokyo, Japan.
Ji ZhuDepartment of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Rui ZhangDepartment of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China.
Chundong ZhangDepartment of Gastrointestinal Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing evidence indicates that inflammation and nutritional status are associated with survival outcomes in patients with colorectal cancer (CRC). This study aimed to investigate the prognostic values of preoperative inflammatory and nutritional factors and develop a prognostic model individually predicting overall survival (OS) and disease-free survival (DFS) in patients with CRC.

methodsWe retrospectively collected data on patients with CRC who underwent radical surgery. Independent prognostic inflammatory and nutritional markers were identified and novel prognostic models were developed incorporating the identified factors. The discriminative ability and model-fitting performance were evaluated by receiver operating characteristic curves and Akaike information criteria. Clinical usefulness was assessed by decision curve analysis.

resultsA total of 400 eligible patients were identified. Multivariate analysis identified pN stage, tumor differentiation grade, neutrophil count, and body mass index as independent prognostic factors for OS, and pN stage, tumor differentiation grade, neutrophil count, neutrophil-lymphocyte ratio, and serum albumin as prognostic factors for DFS. The combined inflammatory and nutritional prognostic model showed better discriminative ability, model-fitting performance, and net benefits than the inflammatory and nutritional models alone, and the American Joint Committee on Cancer (AJCC) 8th TNM classification for predicting OS and DFS.

conclusionPreoperative nutritional and inflammatory factors have significant prognostic value in patients with CRC. A novel prognostic model incorporating preoperative inflammatory and nutritional markers provides better prognostic performance than the AJCC 8th TNM classification. A novel nomogram incorporating preoperative inflammatory and nutritional markers can individually predict OS and DFS in patients with CRC.

Indexed as

colorectal cancerinflammatory statusnutritional statusprognostic modelsurvival outcome

Identifiers

PMID33215031
PMCPMC7670074

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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.