SynthesisBiological trace element research2025
Relationship Between Arsenic in Biological Media and Breast Cancer: A Systematic Review and Meta-Analysis.
Synthesis in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled 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.
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.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Unraveling the Puzzle: a Systematic Review of the Carcinogenic Role of Arsenic in Head and Neck Cancers.Biological trace element research · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Arsenic (As) is an environmental pollutant with carcinogenic effects and breast cancer (BC) is a prevalent malignant tumor in women. The goal of this meta-analysis was to establish a connection between biological sample As levels and the risk of developing BC. Pub Med, Web of Science, Scopus, and Elsevier were used to systematically screen the literature published between 1990 and 2023. The Newcastle-Ottawa scale was also used in assessing the quality of publications. A random-effects model was used to assess the pertinent data that was gleaned from these articles. Using the I
Indexed as
Identifiers
38619678What OpenQuestion holds
Registered trials
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.