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Record W4411398596 · doi:10.1097/md.0000000000042796

Interrelationship between PQ exposure and Parkinson disease: A systematic review and meta-analysis

2025· review· en· W4411398596 on OpenAlexaboutno aff
Rui-Qiong Ba, Xijun Fan, Kang Du, Xiang Ma, Yu Wen, Ming-wei Liu

Bibliographic record

VenueMedicine · 2025
Typereview
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisOdds ratioConfidence intervalInternal medicineSubgroup analysisWeb of scienceParkinson's diseaseIncidence (geometry)Cohort studyDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Some studies have conflicting findings, suggesting that PQ has no association with the progression of Parkinson disease (PD). This meta-analysis aimed to investigate the impact of PQ on the incidence of PD. METHODS: A computerized search was conducted in Pubmed, Embase, Cochrane, Web of Science, and Scopus for literature on factors influencing DEACMP from their inception to October 2023. Statistical analyses and meta-analyses were performed using STATA 17.0 and RevMan 5.4 software, respectively. RESULTS: A total of 181 articles were retrieved. 14 articles were included, comprising 4731 PD cases and 205,129 control cases. In case-control studies, the proportion of PQ exposure in the PD group was relatively high, with an odds ratio (OR) of 1.47 (95% confidence interval [CI]: 1.25, 1.72; I2 = 2%, P < .00001). In cohort studies, the PD group showed a relatively high proportion of PQ exposure, with an OR of 0.81 (95% CI: 0.71-0.92; I2 = 0%, P = .001). Additionally, subgroup analyses were conducted based on the study area. Studies from the United States and Canada indicated that the proportion of PQ exposure in the PD group was relatively high, with an OR of 1.36 (95% CI: 1.12-1.67; I2 = 10%, P = .002). In addition, the occupational exposure analysis showed that the proportion of PQ exposure in the PD group was higher, with an OR of 0.83 (95% CI: 0.71-0.99; I2 = 10%, P = .03). The environmental exposure analysis indicated a tendency towards a higher proportion of PQ exposure in the PD group, with an OR of 2.37 (95% CI: 0.98-5.73; I2 = 9%, P = .06). The mixed exposure analysis revealed a significantly higher proportion of PQ exposure in the PD group, with an OR of 1.47 (95% CI: 1.25-1.73; I2 = 0%, P < .0001). CONCLUSIONS: This study demonstrates that PQ exposure does not obviously increase the incidence of PD. However, factors such as gender, exposure conditions, and regional differences may affect the incidence of PD induced by PQ exposure. Further clarification is required regarding the impact of paraquat exposure on PD. Simultaneously, efforts should be made to prohibit or reduce the use of and exposure to paraquat.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.036
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0190.041
Bibliometrics0.0090.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.111
GPT teacher head0.380
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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