ReviewJournal of environmental health science & engineering2025
Effect of pesticide exposure on systemic inflammatory biomarkers: a meta-analysis, and trial sequential analysis.
Review in Journal of environmental health science & engineering, 2025. 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.
- Machine learning comparison for biomarker level estimation in wastewater dynamics monitoring.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human pesticide exposure results in the development of several chronic diseases, including cardiometabolic, carcinogenic, neurological, and autoimmune processes. The induction of oxidative stress, subsequent tissue injury, and inflammatory response are widely accepted mechanisms related to environmental pollutants-induced diseases. In this line, several studies have been reported on the induction of systematic inflammatory state related to pesticide exposure. Nevertheless, there needs to be a consensus on the best inflammatory biomarker for measuring in response to pesticide exposure, and sources of risk of bias need to be assessed for future studies. This meta-analysis assessed whether pesticide exposure can start an inflammatory response in humans. A systematic review was performed focused on original reports that analyzed the relationship between human pesticide exposure and pro-inflammatory biomarkers. Fifteen studies were analyzed. The present meta-analysis included 3172 participants. The pooled analysis suggested that pesticide exposure can induce an inflammatory response and indicates that standardized clinical inflammatory biomarkers such as C-reactive protein are more recommended than hematological index or pro-inflammatory cytokines. Moreover, the need to consider multivariate statistical analysis is noted. The results suggested that pesticide-induced inflammatory response could be considered a mechanism through pesticide-induced diseases. These findings contribute to our understanding of the health effects of pesticide exposure and show the need for performing future studies to explore this area further, potentially leading to improved public health strategies. Supplementary Information: The online version contains supplementary material available at 10.1007/s40201-025-00949-x.
Indexed as
Identifiers
What Socratic 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 Socratic graph.