Evidence map›Paper›PMID 38042187›Full record

ArticleThe Science of the total environment2024

Cost-effectiveness analysis of insecticide ban aimed at preventing Parkinson's disease in Central California.

Shiwen Li, Roch A Nianogo, Yuyuan Lin, Hanwen Wang, Yu Yu, Kimberly C Paul, Beate Ritz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Science of the total environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
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

7 authors.

Shiwen LiDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Roch A NianogoDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Yuyuan LinDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Hanwen WangDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Yu YuCenter for Health Policy Research, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Kimberly C PaulDepartment of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA.
Beate RitzDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA; Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA. Electronic address: britz@ucla.edu.

Funding

PARKINSON'S DISEASES SUSCEPTIBILITY GENES AND PESTICIDESR01ES010544 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2000 to 2015
$5.7M
Microbiome, Pesticides and Parkinsons in LatinosR01ES031106 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RITZ, BEATE R. · 2020 to 2025
$3.8M
NIEHS NIH HHS R01 ES010544NIEHS NIH HHS R01 ES031106
6 · The paper itself

Abstract

backgroundOur study assessed whether banning specific insecticides to reduce the PD burden in three Central California (CA) counties is cost-effective.

methodWe applied a cost-effectiveness analysis using a cohort-based Markov model to estimate the impact and costs of banning seven insecticides that were previously associated with PD in these counties as well as mixture exposures to some of these pesticides. We relied for our estimations on the cohort of 65- and 66-year-olds living in these counties who were unaffected by PD at baseline in 2020 and projected their incidence, costs, and reduction in quality-adjusted-life-years (QALY) loss due to developing PD over a 20-year period. We included a shiny app for modeling different scenarios (https://sherlockli.shinyapps.io/pesticide_pd_economics_part_2/).

resultsAccording to our scenarios, banning insecticides to reduce the occurrence of PD in three Central CA counties was cost-effective relative to not banning insecticides. In the worst-case scenario of exposure to a single pesticide, methomyl, versus none would result in an estimated 205 (95 % CI: 75, 348) additional PD cases or 12 % (95 % CI: 4 %, 20 %) increase in PD cases over a 20-year period based on residential proximity to pesticide applications. The increase in PD cases due to methomyl would increase health-related costs by $72.0 million (95 % CI: $5.5 million, $187.4 million). Each additional PD patient due to methomyl exposure would incur $109,327 (95 % CI, $5554, $347,757) in costs per QALY loss due to PD. Exposure to methomyl based on workplace proximity to pesticide applications generated similar estimates. The highest PD burden and associated costs would be incurred from exposure to multiple pesticides simultaneously.

conclusionOur study provides an assessment of the cost-effectiveness of banning specific insecticides to reduce PD burden in terms of health-related QALYs and related costs. This information may help policymakers and stakeholders to make decisions concerning the regulation of pesticides.

Indexed as

InsecticidesParkinson DiseasePesticidesCaliforniaCost-Benefit AnalysisCost-Effectiveness AnalysisHumansMethomylInsecticidesMethomylPesticidesCost-effectiveness analysisMarkov modelParkinson's diseasePesticide

Identifiers

PMID38042187
PMCPMC11121568

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Registered trials

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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.