Evidence map›Paper›PMID 40629598›Full record

ArticleMedicine2025

Epidemiological and clinical characteristics of severe poisonous mushroom poisoning in children in Yunnan Province: A retrospective analysis of 23 cases from 2020 to 2022.

Zhu Tian, Yang Li, Cheng Guo, Kai Liu, Juan Xie

Abstract read
In one paragraph

Article in Medicine, 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

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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
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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

5 authors.

Zhu TianComprehensive Pediatrics, Kunming Children's Hospital and Kunming Medical University Affiliated Children's Hospital, Kunming, Yunnan, China.
Yang Li
Cheng Guo
Juan Xie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poisonous mushroom poisoning is a common and highly fatal foodborne disease in southwest China. Children are at higher risk of severe illness and death due to limited hepatic reserve. However, studies on the poisonous mushroom poisoning in children are still limited. To analyze the epidemiological characteristics, clinical features, laboratory findings, treatment modalities, and prognostic factors of severe poisonous mushroom poisoning in children in Yunnan Province from 2020 to 2022. This was a retrospective study that included 23 hospitalized pediatric cases diagnosed with poisonous mushroom poisoning in Yunnan Province from 2020 to 2022. The Mann-Whitney U test was used to analyze the difference between alanine aminotransferase (ALT) and prothrombin time (PT) levels between the death and survival groups, and Spearman correlation analysis was used to assess their correlation with prognosis; the Fisher exact test and Fisher-Freeman-Halton test were used to compare the prognostic effects of blood purification treatment with different purification modalities. Poisoning cases clustered in summer-autumn, with Amanita species predominance. Acute liver injury type was the most common. ALT and PT levels were significantly higher in the death group (P = .013 and P = .025) and positively correlated with mortality (ALT: R = 0.538, P = .008; PT: R = 0.485, P = .019). Blood purification therapy significantly improved survival (64.7% vs 16.7%, P = .026), with no significant difference among modalities (P = .162). Elevated ALT and prolonged PT are key prognostic indicators of mortality in pediatric mushroom poisoning. Blood purification therapy improves survival. Dynamic monitoring of ALT and PT may aid early risk stratification and optimization of treatment strategies.

Indexed as

Mushroom PoisoningAdolescentAlanine TransaminaseChildChild, PreschoolChinaFemaleHumansInfantMalePrognosisProthrombin TimeRetrospective StudiesSeasonsAlanine TransaminaseALTblood purificationchildrenfatal poisoningpoisonous mushroomsprognosisPT

Identifiers

PMID40629598
PMCPMC12237380

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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.