Evidence map›Paper›PMID 39876910›Full record

ArticleJournal of medical biochemistry2024

Estradiol and testosterone associated with risk of breast cancer: A meta-analysis.

Yanqing Liu, Yujuan Kang, Xiaofei Li, Nina Qu

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Yanqing LiuYantai Yuhuangding Hospital, Breast Surgery Department, Shandong, China.
Yujuan KangYantai Yuhuangding Hospital, Breast Surgery Department, Shandong, China.
Xiaofei LiYantai Yuhuangding Hospital, Breast Surgery Department, Shandong, China.
Nina QuYantai Yuhuangding Hospital, Ultrasound Department, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This paper aimed to investigate the correlation between estradiol and testosterone in patients with breast cancer. Methods: The research papers on the correlation between estradiol and testosterone on the risk of breast cancer were searched and collected. The time limit is that each database was established until December 2023. After screening, the modified Jadad scale was used to evaluate the quality of the research literature. NoteExpress 3.2 was used for literature management, and Excel 2003 was used for data collection and extraction. Statistical analysis was performed using RevMan 5.4.1 software to determine whether there was heterogeneity in the study according to the size of the Q test (P-value), and then the OR value of combined effects was calculated using fixed or random effects models, and forest maps were drawn. At the same time, papers with the greatest weight were excluded for sensitivity analysis, and the literature bias was evaluated by drawing a funnel plot. Results: A total of 628 pieces of research were retrieved, and 11 case-control trials met the criteria for inclusion. Meta-analysis results showed that the level of E2 in breast cancer patients was higher than that in the non-breast cancer control group, but the difference was not statistically significant (OR=121.56, 95%CI (-3.32-264.44), P=0.06). The level of E2 in premenopausal patients with breast cancer was higher than that in the non-breast cancer control group, but the difference was not statistically significant (OR=8.26, 95%CI (-2.83-19.34), P=0.14). The level of E2 in postmenopausal patients with breast cancer was higher than that in the non-breast cancer control group, and the difference was statistically significant (OR=20.36, 95%CI (7.04-33.68), P=0.003). Preoperative T level was higher in patients with breast cancer than in the non-breast cancer control group, but the difference was not statistically significant (OR=14.77, 95%CI (-14.11-43.65), P=0.32). The T level before and after surgery in breast cancer patients was higher than that in the non-breast cancer control group, and the difference was statistically significant (OR=12.91, 95%CI (4.43-21.39), P=0.003). Sensitivity analysis showed that the combined effect size results were stable and reliable OR (95%CI) was 24.41 (10.21~38.61), P=0.0007. Funnel plot results showed publication bias. Conclusions: There is a positive correlation between the levels of estradiol and testosterone and the occurrence and development of breast cancer after menopause.

Indexed as

breast cancerestradiolmeta-analysistestosterone

Identifiers

PMID39876910
PMCPMC11771977

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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.