Evidence map›Paper›PMID 38737496›Full record

ArticleInternational journal of women's health2024

Association of Overweight and Inflammatory Indicators with Breast Cancer: A Cross-Sectional Study in Chinese Women.

Juan-Min Zha, Mei Zhang, Tao Wang, Hua-Shan Li, Quan-Yao Ban, Mei Liu, Xue-Xue Jiang, Shi-Ying Guo, Jing Wang, Ya-Ru Zhou and 3 more

Abstract read
In one paragraph

Article in International journal of women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

13 authors.

Juan-Min Zha *Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.ORCID 0000-0002-1653-0845
Mei Zhang *Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Tao Wang *Jiangsu Key Laboratory of Neuropsychiatric Diseases and Cambridge-Suda (CAM-SU) Genomic Resource Center, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Hua-Shan Li *Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Quan-Yao Ban *Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.ORCID 0009-0000-1429-4319
Mei LiuDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Xue-Xue JiangDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Shi-Ying GuoJiangsu Key Laboratory of Neuropsychiatric Diseases and Cambridge-Suda (CAM-SU) Genomic Resource Center, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Jing WangJiangsu Key Laboratory of Neuropsychiatric Diseases and Cambridge-Suda (CAM-SU) Genomic Resource Center, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Ya-Ru ZhouJiangsu Key Laboratory of Neuropsychiatric Diseases and Cambridge-Suda (CAM-SU) Genomic Resource Center, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Yu-Hong LiuJiangsu Key Laboratory of Neuropsychiatric Diseases and Cambridge-Suda (CAM-SU) Genomic Resource Center, Medical College of Soochow University, Suzhou, Jiangsu, People's Republic of China.
Wei-Qi HeDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.ORCID 0000-0003-3137-8420
Hong XuDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This cross-sectional study aimed to explore the association of overweight and inflammatory indicators with breast cancer risk in Chinese patients. Methods: Weight, height, and peripheral blood inflammatory indicators, including white blood cell count (WBC), neutrophil count (NE), lymphocyte count (LY), platelet count (PLT) and the concentration of hypersensitivity C-reactive protein (hsCRP), were collected in 383 patients with benign breast lumps (non-cancer) and 358 patients with malignant breast tumors (cancer) at the First Affiliated Hospital of Soochow University, China, from March 2018 to July 2020. Body mass index (BMI), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) were determined according to the ratio equation. The correlations among overweight, inflammatory indicators, and the proportion of non-cancer or cancer cases were analyzed. Results: BMI is associated with an increased breast cancer risk. Compared with non-cancer patients, the average WBC count, NE count, NLR, and level of hsCRP were significantly higher in cancer patients. The level of hsCRP was closely associated with the size of malignant breast tumors. Conclusion: We conclude that overweight and high levels of hsCRP may serve as putative risk factors for malignant breast tumors in Chinese women.

Indexed as

body mass indexbreast cancerchronic inflammationinflammatory indicatoroverweight

Identifiers

PMID38737496
PMCPMC11086397

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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.