Evidence map›Paper›PMID 40686620›Full record

ArticleiScience2025

Analysis of clinical characteristics and factors of central nervous system damage caused by acute bipyridine herbicide poisoning.

Hu Tang, Xiaorong Chen, Nengzhi Xia, Bin Wu, Guangju Zhao, Yahui Tang, Zhongqiu Lu

Abstract read
In one paragraph

Article in iScience, 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. Article
  2. 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.

Hu TangEmergency Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Xiaorong ChenEmergency Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Nengzhi XiaDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Bin WuEmergency Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Guangju ZhaoEmergency Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Yahui TangEmergency Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Zhongqiu LuEmergency Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute bipyridine herbicide poisoning poses a significant clinical challenge due to the lack of an effective antidote, with CNS damage leading to particularly poor outcomes. This retrospective study included 189 patients with acute bipyridine poisoning, with a median age of 39 years. Among them, 33.3% developed CNS damage, with a median onset time of 48 h, and overall mortality was 50.8%. Correlation analyses revealed that both diquat (DQ) and paraquat (PQ) poisoning were associated with systemic damage. However, DQ poisoning showed additional associations with inflammatory markers (WBC [white blood cell], neutrophils), liver dysfunction (alanine aminotransferase [ALT]), and CNS damage, underscoring its broader systemic impact. To address the need for early identification of CNS damage, we developed a robust 8-factor predictive model. Its performance, validated through receiver operating characteristic (ROC) curve analysis, calibration curves, and decision curve analysis (DCA), demonstrated strong clinical potential for improving early risk stratification and guiding targeted interventions.

Indexed as

clinical findingneurologypreventive medicine

Identifiers

PMID40686620
PMCPMC12275885

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.