Evidence map›Paper›PMID 36522702›Full record

ArticleBMC cancer2022

Prognostic significance of preoperative prognostic immune and nutritional index in patients with stage I-III colorectal cancer.

Hailun Xie, Lishuang Wei, Mingxiang Liu, Yanren Liang, Guanghui Yuan, Shunhui Gao, Qiwen Wang, Xin Lin, Shuangyi Tang, Jialiang Gan

Abstract read
In one paragraph

Article in BMC cancer, 2022. 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

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3 · Its place in the literature

Who cites it

18 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

10 authors.

Hailun Xie *Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, P.R. China.
Lishuang Wei *Department of Geriatric Respiratory Disease Ward, the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, P.R. China.
Mingxiang LiuDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, P.R. China.
Yanren LiangDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, P.R. China.
Guanghui YuanDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, P.R. China.
Shunhui GaoDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, P.R. China.
Qiwen WangDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, P.R. China.
Xin LinGuangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, Guangxi, P.R. China.
Shuangyi TangDepartment of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Guangxi, 530021, Nanning, P.R. China. tshy369@sina.com.
Jialiang GanDepartment of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi, 530021, P.R. China. gjl5172@163.com.

Funding

Guangxi College Students' Innovation and Entrepreneurship Training Program No.202110598306Guangxi medical and health appropriate techology development and application project No. S2021095
6 · The paper itself

Abstract

backgroundTo explore the value of preoperative prognostic immune and nutritional index (PINI) in predicting postoperative complications and long-term outcomes in patients with stage I-III colorectal cancer (CRC).

methodsRestricted cubic splines were used to assess the relationship between PINI and survival in patients with CRC. The Kaplan-Meier method and log-rank test were used to plot the survival curves. The Cox proportional hazards model was used to evaluate independent prognostic predictors in patients with CRC. A logistic regression analysis was performed to identify independent predictors of postoperative complications. The least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was used for feature screening.

resultsAn evident positive dose-response relationship between PINI and survival in patients with CRC was identified. Compared with patients with a high PINI, those with a low PINI had worse disease-free survival (DFS) (47.9% vs. 66.9%, p < 0.001) and overall survival (OS) (49.7% vs. 70.2%, p < 0.001). The Cox proportional hazards model revealed that PINI was independently associated with DFS (hazard ratio [HR], 0.823; 95% confidence interval [CI], 0.754-0.898; p < 0.001) and OS (HR, 0.833; 95% CI, 0.761-0.912; p < 0.001) in patients with CRC. In the logistic regression analysis, PINI was an independent factor affecting postoperative complications in patients with CRC (odds ratio, 0.710; 95%CI: 0.610-0.810, p < 0.001). The LASSO logistic regression algorithm was used to screen for effective prognostic variables. Finally, we constructed PINI-based nomograms to predict postoperative 1-5-year PFS, and OS in patients with CRC.

conclusionPINI is an effective biomarker for predicting postoperative complications, DFS, and OS in patients with stage I-III CRC.

Indexed as

Colorectal NeoplasmsNutrition AssessmentHumansKaplan-Meier EstimatePostoperative ComplicationsPrognosisColorectal cancerDisease-free survivalInflammationNutritionOverall survival

Identifiers

PMID36522702
PMCPMC9756500

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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.