Evidence map›Paper›PMID 40664778›Full record

ArticleScientific reports2025

Linear inverse association between prognostic nutritional index and colorectal cancer risk based on NHANES data.

Youwei Han, Peng Zhou, Liping Wang, Yu Tang, Yuyan Ding, Yujiao Yang, Chen Qiu, Yuyang Li, Jiazeng Xia

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. CatBoost Machine Learning Model for Thrombosis Risk Prediction in Critically Ill Cancer Patients: A MIMIC-IV Database Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Observational
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

9 authors.

Youwei Han *Department of General Surgery, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China.
Peng Zhou *Department of General Surgery, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China.
Liping Wang *Department of General Surgery, Institute of General Surgical Research, School of Medicine, Jiangnan University Medical Center, Jiangnan University, Wuxi, China.
Yu Tang *Department of General Surgery, Institute of General Surgical Research, School of Medicine, Jiangnan University Medical Center, Jiangnan University, Wuxi, China.
Yuyan DingDepartment of General Surgery, Institute of General Surgical Research, School of Medicine, Jiangnan University Medical Center, Jiangnan University, Wuxi, China.
Yujiao YangDepartment of General Surgery, Institute of General Surgical Research, School of Medicine, Jiangnan University Medical Center, Jiangnan University, Wuxi, China.
Chen QiuDepartment of General Surgery, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China.
Yuyang LiDepartment of General Surgery, Institute of General Surgical Research, School of Medicine, Jiangnan University Medical Center, Jiangnan University, Wuxi, China.
Jiazeng XiaDepartment of General Surgery, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China. xjz_wuxi@alumni.sjtu.edu.cn.

Funding

Key Project of Scientific Research from Jiangsu Commission of Health ZDB2020026
6 · The paper itself

Abstract

Despite the Prognostic Nutritional Index (PNI) serving as a crucial prognostic marker for predicting survival outcomes in cancer patients, its association with the risk of Colorectal Cancer (CRC) is not well comprehended. We hypothesized that lower PNI levels are associated with a higher risk of CRC. The datasets from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016 were employed in this study, incorporating data on demographics, laboratory tests, and questionnaires. Participants aged ≥ 20 years were included, while those with missing tumor history or incomplete laboratory data for PNI calculation (serum albumin or lymphocyte count) were excluded. A total of 26,229 participants who met the inclusion criteria were evaluated, of which 176 had a history of CRC. The PNI was calculated as 0.005 × absolute lymphocyte count + 10 × serum albumin, and categorized into quartiles. CRC status was determined via self-reported medical history. To investigate the linear relationship between PNI and CRC, multivariable logistic regression models, restricted cubic spline analysis, and subgroup analyses were used. Covariates were adjusted using multiple imputation, and all analyses were conducted using DecisionLinnc v1.0. Statistical significance was set at P < 0.05. The average PNI score was 42.55 ± 3.42. Fully adjusted multivariable logistic regression models identified a significant inverse relationship between higher PNI scores and lower odds of CRC. Specifically, each one-unit increase in PNI was associated with a 6.43% reduction in the odds of CRC [OR: 0.9357; 95% CI: 0.8942, 0.9807; p = 0.005]. Restricted cubic spline analysis further validated a linear association between PNI and CRC risk. Subgroup analyses demonstrated that the association remained consistent across factors including gender, age, marital status, education level, BMI, alcohol consumption, smoking habits, history of hypertension, hyperlipidemia, and diabetes. Males exhibited a more pronounced inverse correlation between PNI and CRC risk. Higher PNI scores are independently associated with reduced odds of CRC. PNI may serve as a valuable risk biomarker for identifying individuals at elevated CRC risk and could enhance large-scale screening strategies.

Indexed as

Colorectal NeoplasmsNutritional StatusNutrition AssessmentAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysPrognosisRisk FactorsSerum AlbuminSerum AlbuminBiomarkers in oncologyColorectal cancerImmunityInflammationNutritionPrognostic nutritional index

Identifiers

PMID40664778
PMCPMC12264100

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.