Evidence map›Paper›PMID 39160507›Full record

ArticleBMC public health2024

Combined influence of nutritional and inflammatory status and breast cancer: findings from the NHANES.

Xinyan Gao, Jianchao Qi, Bin Du, Xiaojiao Weng, Jinhuo Lai, Riping Wu

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
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  8. The association of the advanced lung cancer inflammation index with the risk ofFrontiers in cellular and infection microbiology · 2026
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  16. Dynamics of inflammatory signals within the tumor microenvironment.World journal of experimental medicine · 2025
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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

6 authors.

Xinyan Gao *Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China.
Jianchao Qi *Department of Emergency Surgery, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, People's Republic of China.
Bin Du *Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China.
Xiaojiao WengDepartment of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China.
Jinhuo LaiDepartment of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China. laijinhuo_fjxh@fjmu.edu.cn.
Riping WuDepartment of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, 350001, Fujian, People's Republic of China. ripingwu@163.com.

Funding

Fujian Provincial Natural Science Foundation Project 2022J01747Fujian Science and Technology Innovation Joint Fund Project 2023Y9181Startup Fund for scientific research, Fujian Medical University 2022QH1033
6 · The paper itself

Abstract

backgroundPrevious studies have hinted at the benefits of following an anti-inflammatory diet for potentially reducing breast cancer prevalence. However, the combined influence of diet and inflammation on breast cancer remains unclear.

methodsThe advanced lung cancer inflammation index (ALI) was used to assess inflammation and nutritional status. Statistical methods, such as multivariable logistic regression, eXtreme Gradient Boosting (XGBoost) model, and subgroup analysis, were employed to analyze the impact of ALI on prevalence of BC. Additionally, a two-piece-wise logistic regression model with smoothing was used to determine the ALI threshold for BC prevalence. The study aimed to understand the mechanistic association between ALI levels and BC development.

resultsThe mean (SD) age of the study population was 50.0 (17.7) years, with 40.0% of individuals classified as obese. Comparing ALI tertiles to the lowest tertile, the odds ratios (95% CI) for breast cancer (BC) were 0.78 (0.62, 0.98) and 0.68 (0.52, 0.87) for T2-T3. The XGBoost machine learning model was employed to assess the importance of selected factors, revealing ALI as one of the top five variables influencing BC. Subgroup analysis identified a correlation between ALI, alcohol consumption, and menopausal status. Additionally, ALI levels were associated with decreased estradiol (E2) levels, increased total testosterone (TT)/E2 ratio, and TT/sex hormone-binding globulin (SHBG) ratio.

conclusionThis study indicates a potential protective effect of ALI levels against breast cancer, possibly related to sex hormone disruption. The findings support the use of optimal therapeutic strategies for preventing breast cancer.

Indexed as

Breast NeoplasmsInflammationNutritional StatusNutrition SurveysAdultAgedFemaleHumansMiddle AgedPrevalenceRisk FactorsUnited StatesAdvanced lung cancer inflammation indexBreast cancerInflammationNHANESNutrition

Identifiers

PMID39160507
PMCPMC11331661

What OpenQuestion holds

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Registered trials

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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.