Evidence map›Paper›PMID 33116746›Full record

ArticleJournal of inflammation research2020

Creation of a Novel Inflammation-Based Score for Operable Colorectal Cancer Patients.

Qian Huang, Yinghao Cao, Shouyi Wang, Rui Zhu

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In one paragraph

Article in Journal of inflammation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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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

4 authors.

Qian HuangDepartment of Pediatric, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Yinghao CaoDepartment of Colorectal Surgery and Gastroenterology, Wuhan Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Shouyi WangDepartment of Pediatric, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.
Rui ZhuDepartment of Pediatric, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimSystemic inflammation has been implicated in the progression of patients with colorectal cancer (CRC). We evaluated the prognostic ability of a comprehensive score based on several inflammatory indexes in operable CRC patients. PATIENTS AND

methodsBetween July 2013 and September 2017, this study retrospectively identified 1279 CRC patients receiving radical surgery in Wuhan Union Hospital and randomly assigned them into training (N=921) and validation (N=358) sets. A novel score, the CRC-specific inflammatory index (CSII), was developed from a series of inflammatory indexes significantly associated with survival in patients with CRC. This novel score was then divided into three categories and compared to the well-known systematic inflammatory index (SII) and TNM stage. Finally, a survival nomogram was generated by combining the CSII and other informative clinical features.

resultsThe CSII-OS was calculated as 1.110×lg ALRI + 1.082×CAR + 0.792×PI, while CSII-DFS was 1.709×lg ALRI + 1.033×CAR based on multivariable Cox regression analysis. Patients with high CSII experienced a worse OS (HR=23.72, 95% CI, 11.30-49.78, P <0.001) and worse DFS (HR=15.62, 95% CI, 6.95-35.08, P <0.001) compared to those in CRC patients with low CSII. Moreover, ROC analyses showed that the CSII possessed excellent performance (AUC=0.859) in predicting OS and DFS. The AUC of the OS nomogram based on CSII, TNM stage, and chemotherapy was 0.897, while that of the DFS nomogram based on CSII, T stage, and TNM stage was 0.873. High-quality calibration curves in both OS and DFS nomograms were observed. Verification in the validation dataset showed results consistent with those in the training dataset.

conclusionThe CSII is a CRC-specific prognostic score based on the combination of available inflammatory indexes. High CSII is a strong predictor of worse survival outcomes. The CSII also exhibits better predictive performance compared to SII or TNM stage in operable CRC patients.

Indexed as

colorectal cancerCRC-specific inflammatory indexprognosissurvival nomogramsystemic inflammation

Identifiers

PMID33116746
PMCPMC7547789

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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.