Evidence map›Paper›PMID 40678361›Full record

ReviewToxicon: X2025

Adding insult to injury: A review of infections following envenomings.

Dayle Leonard, Aoife Boyd, Michel M Dugon

Abstract readReview
In one paragraph

Review in Toxicon: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Dayle LeonardVenom Systems Lab, Ryan Institute, School of Natural Sciences, University of Galway, H91TK33, Galway, Ireland.
Aoife BoydPathogenic Mechanisms Research Group, School of Natural Sciences, University of Galway, H91TK33, Galway, Ireland.
Michel M DugonVenom Systems Lab, Ryan Institute, School of Natural Sciences, University of Galway, H91TK33, Galway, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over 100 lineages of animal have evolved venom for a wide variety of purposes. An estimated 2.5 million people are bitten by snakes and another 1.2 million are stung by scorpions with many envenomings resulting in death. However, survival is not the end point of the envenoming syndrome as chronic life altering conditions, such as amputations, disfigurement and neuropathies can occur. In this context, infections at the site of envenomation could play an important role as they can exacerbate mortality and the incidence and severity of life altering conditions. This review assesses the connection between envenoming and infections. It summarises and highlights the literature describing cases of envenoming-mediated infection by various taxa and the circumstances of these envenomings and the outcomes of infection. It could be deduced that the risk factors for envenoming-led infections are multifactorial. Factors enhancing the risk of infection include; 1. The delivery system, with larger devices leading to more substantial wounds, 2. Venom composition, with venoms containing cytotoxins more commonly implicated in infections, and 3. The environment, with aquatic microbiomes and venom system microbiomes as sources of the pathogen species. Infections are difficult to diagnose due to symptoms synonymous with those of the envenoming and it is recommended that medical practitioners consider the possibility of infection throughout all stages of medical treatment. There is a notable gap in our understanding of envenoming-led infections and further research will help to increase patient survival.

Indexed as

EnvenomationInfectionPathogenScorpionSnake

Identifiers

PMID40678361
PMCPMC12268858

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.