Evidence map›Paper›PMID 40487523›Full record

ArticleFrontiers in public health2025

Measurement and evaluation of pesticide residue risk in vegetables: evidence from China.

Taiping Li, Xiaoshan Jiang, Menghui Qiu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
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

3 authors.

Taiping LiCollege of Economics and Management, Nanjing Agricultural University, Nanjing, China.
Xiaoshan JiangCollege of Economics and Management, Nanjing Agricultural University, Nanjing, China.
Menghui QiuCollege of Economics and Management, Nanjing Agricultural University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With the modernization of agricultural production and the widespread use of chemical pesticides, pesticide residue risk has emerged as a significant public health concern globally. Pesticide residues in vegetables represent a potential hazard to consumer health. A scientific evaluation of their risk status not only enhances information transparency but also provides a precise foundation for food safety regulation. Methods: This study devised a vegetable pesticide residue risk index by integrating the probability of residue detection and the extent of associated harm, utilizing 294,703 monitored sampling data across 30 provinces from 2021 to 2023 to methodically assess and quantify the risk of vegetable pesticide residues in China. Results: Out of 52 vegetable types analyzed, 33 had pesticide residue levels that surpassed the permissible limits, with leeks and celery registering the highest risk indices. Regarding regional variations, Jiangsu, Jilin, Hubei, Hainan, and Heilongjiang were identified with the highest risk levels, while Ningxia, Yunnan, Shaanxi, Gansu, and Tianjin presented the lowest. The dispersion of vegetable pesticide residues has been progressively extending from the northeast towards the southwest. The predominant pesticide residues were found in three types-Clothianidin, Procymidone, and Chlorpyrifos, which constituted 43.6% of the overall exceedances. Discussion: These findings provide a scientific basis for risk-based regulation, supporting region-specific inspection and targeted pesticide control. The study advocates tailored regulatory measures that consider both regional risk profiles and pesticide characteristics to reduce residue risks. Enhanced data transparency further empowers consumers to make informed choices, fostering a bottom-up compliance mechanism.

Indexed as

Food ContaminationPesticide ResiduesVegetablesChinaHumansRisk AssessmentPesticide Residuesfood safetypesticide residuesrisk assessmentsupervision and inspection datavegetables

Identifiers

PMID40487523
PMCPMC12141235

What OpenQuestion holds

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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.