SynthesisBiological trace element research2026
Prediction of Emerging CVD Biomarkers in Population Exposed to Arsenic and Their Associated Risk Factors in Humans by Systematic Review and Meta-Analysis.
Synthesis in Biological trace element research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Arsenic is a natural compound of metalloid (both metal and non-metal) found in soil and minerals used in semiconductor and alloys. Arsenic exposure is associated with an increased risk of cardiovascular disease (CVD) risk from drinking water or environmental sources. Exploring the emerging biomarkers associated with CVD upon arsenic exposure is crucial. Thus, this review paper aimed to analyze the prediction of emerging CVD biomarkers in population exposed to arsenic and their associated risk factors in humans by a systematic review and meta-analysis. A systematic search was conducted using PubMed, Scopus, and Web of Science to identify eligible studies on arsenic exposure associated with CVDs and their risk factors. Sensitivity, specificity, and predictive value of biomarkers for CVD of arsenic exposed population were assessed by calculating the quality criteria, standard means different (SMD), odds ratio (OR), and 95% confidence intervals (CIs). A meta-analysis was used to derive a combined SMD and OR for the heterogeneity test in between studies. The meta-analysis of nine articles were included. The overall effect sizes revealed significant heterogeneity across studies (I
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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 Socratic graph.