Sixty years since Silent Spring: a map of meta-analyses on organochlorine pesticides reveals urgent needs for improving methodological quality.

This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Supplementary Files
Authors

Kyle Morrison , Yefeng Yang, Lorenzo Ricolfi, Coralie Williams, Malgorzata Lagisz, Shinichi Nakagawa

Abstract

Rachel Carson’s Silent Spring inspired a wave of research on the impacts of organochlorine pesticides, followed by a subsequent wave of meta-analyses. These meta-analyses are now routinely used to inform policy decisions. However, the methodological quality of meta-analyses on organochlorine pesticides remains largely unknown. Here, our study systematically maps and evaluates the methodological quality of 105 meta-analyses synthesizing 3,911 primary studies. Concerningly, we find that 83.4% of the meta-analyses exhibit low methodological quality. Importantly, such meta-analyses are commonly cited in policy documents, suggesting poor quality meta-analyses are misinforming policies. We also found a paucity of meta-analyses on wildlife despite ample primary evidence. Furthermore, our bibliometric analysis shows a limited number of meta-analyses originating from the developing countries, where organochlorines are still used to combat vectors of fatal diseases. Finally, we quantified the positive impact of using reporting guidelines and we provide recommendations for readily implementable methodological improvements.

DOI

https://doi.org/10.32942/X2JS6S

Subjects

Physical Sciences and Mathematics

Keywords

agrochemical, meta-regression, Critical Appraisal, Bibliometrics

Dates

Published: 2024-04-16 21:24

Last Updated: 2024-04-17 01:26

Older Versions
License

No Creative Commons license

Additional Metadata

Language:
English

Conflict of interest statement:
There is no conflict of interest to declare.

Data and Code Availability Statement:
For reproducibility and transparency, the code used to complete the systematic review map and bibliometric analysis is provided in a public GitHub repository: https://github.com/KyleMorrison99/organochlorineSRM_analysis.The R markdown file is also available via the following link: https://kylemorrison99.github.io/organochlorineSRM_analysis/.