Evidence map›Paper›PMID 42417755›Full record

ArticleRevista da Sociedade Brasileira de Medicina Tropical2026

Scorpion Envenomation: An Intensive Care Unit Transfer Prediction Score.

Matheus Henrique Leite E Silva, Juliana Sartorelo Almeida, Stefania Villela Moreira Reis, Luiz Eduardo Leverentz Souto, Rafael Lopes de Souza Alves, Heloísa Guimarães Alves Lopes, Marcus Vinícius de Melo Andrade

Abstract read
In one paragraph

Article in Revista da Sociedade Brasileira de Medicina Tropical, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matheus Henrique Leite E SilvaUniversidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0002-6223-043X
Juliana Sartorelo AlmeidaUniversidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0009-0009-1789-4120
Stefania Villela Moreira ReisFundação Hospitalar do Estado de Minas Gerais, Centro de Informações e Assistência Toxicológica de Minas Gerais, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0009-0006-2513-9158
Luiz Eduardo Leverentz SoutoUniversidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0009-0009-8349-714X
Rafael Lopes de Souza AlvesUniversidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0009-0000-5368-5910
Heloísa Guimarães Alves LopesUniversidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0009-0009-4085-3052
Marcus Vinícius de Melo AndradeUniversidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0002-3716-0919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScorpion envenomation frequently requires critical care intervention. Early determination of cases with a higher likelihood of clinical deterioration may allow for resource optimization and improvement of clinical endpoints. In this study, patients from a tertiary hospital with similar clinical characteristics but diverse outcomes were analyzed to propose a clinical deterioration prediction score.

methodsDemographic, clinical, laboratory, and imaging findings of patients with scorpion envenomation were retrieved from a database used in a toxicology center based on in-person attendance data from 2019 to 2024. Multivariate models were defined and evaluated using receiver operating characteristic curves. A nomogram was created to estimate the probability of ICU transfer. Optimal cutoff points, sensitivity, and specificity were computed. Multiple imputation was performed using chained equations. Normality of errors in linear regressions was assessed via QQ plots.

resultsOverall, 146 patients were eligible for enrolment. Sex (p = 0.06), weight (p = 0.30), time-to-serum (p = 0.89), and exposure area (p = 0.49) were comparable between patients admitted to the intensive care unit (ICU) and other inpatients, whereas age (p = 0.006) and initial severity (p < 0.001) displayed significant differences. Logistic regression models displayed area-under-the-curve metrics ranging from 65% to 93%, with high specificity. Hyperamylasemia (p = 0.004), vomiting (p = 0.006), and cardiac dysfunction on echocardiography or point-of-care ultrasound (p < 0.001) were strongly associated with critical care.

conclusionPrognostication of factors leading to ICU transfer from initial clinical and laboratory findings is feasible. The regression model achieved high specificity and moderate sensitivity; being a potentially useful confirmatory test in cases with clinical suspicion.

Indexed as

Intensive Care UnitsPatient TransferScorpion StingsAdultAnimalsFemaleHumansMaleMiddle AgedPredictive Value of TestsROC CurveSensitivity and SpecificitySeverity of Illness Index

Identifiers

PMID42417755
PMCPMC13331192

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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.