Evidence map›Paper›PMID 40676453›Full record

ArticleInternal and emergency medicine2026

External validation of the Malaria Scoring System in a non-endemic emergency department.

Giulia Paglietta, Jacopo Davide Giamello, Salvatore D'Agnano, Remo Melchio, Grethel Leyva Carralero, Antonio Gianelli, Giulia Giubbini, Sabrina Manassero, Nicoletta Artana, Letizia Barutta and 4 more

Abstract readValidation Study
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In one paragraph

Article in Internal and emergency medicine, 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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Giulia PagliettaDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Jacopo Davide GiamelloDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy. jacopo.giamello@gmail.com.ORCID http://orcid.org/0000-0002-5085-3074
Salvatore D'AgnanoDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Remo MelchioDepartment of Internal Medicine, Santa Croce E Carle Hospital, Cuneo, Italy.
Grethel Leyva CarraleroDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Antonio GianelliDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Giulia GiubbiniDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Sabrina ManasseroDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Nicoletta ArtanaDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Letizia BaruttaDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Elisa BasileDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.
Luigi FenoglioDepartment of Internal Medicine, Santa Croce E Carle Hospital, Cuneo, Italy.
Enrico LupiaDepartment of Medical Science, University of Turin, Turin, Italy.
Giuseppe LauriaDepartment of Emergency Medicine, Santa Croce E Carle Hospital, via Michele Coppino 26, 12100, Cuneo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of malaria is increasing even in non-endemic regions, posing a diagnostic challenge. Limited awareness of the disease may result in delayed diagnosis, potentially leading to severe complications. This study aims to externally validate the Malaria Scoring System (MSS), a diagnostic tool originally developed and validated in Sweden, to identify patients at higher risk of plasmodial infection. The MSS incorporates key clinical and laboratory parameters, including recent travel to Sub-Saharan Africa, hematological abnormalities (thrombocytopenia, anemia, lymphopenia, neutropenia), and high fever. A score of ≥ 3 is associated with an increased probability of malaria. A retrospective, single-center study was conducted at the Emergency Department of Santa Croce e Carle Hospital (Cuneo, Italy), including all patients tested for malaria between January 2013 and July 2024. The diagnostic performance of the MSS was assessed in terms of discrimination using receiver operating characteristic (ROC) curve analysis and calibration via the Hosmer-Lemeshow test and calibration belt analysis. A total of 365 patients were included, of whom 114 (31.2%) were diagnosed with malaria. Fever was more frequent among malaria patients (96.5% vs. 84.1%, p < 0.001). Laboratory findings revealed significant differences, with a higher prevalence of thrombocytopenia (78.1% vs. 8.4%, p < 0.001), lymphopenia (71.9% vs. 32.7%, p < 0.001), and anemia (53.5% vs. 35.1%, p < 0.001) in malaria patients. The MSS was significantly higher in malaria cases (median score: 4 [3; 5]) compared to non-malaria cases (median score: 1 [1; 2], p < 0.001). The MSS demonstrated excellent discriminatory ability, with an area under the ROC curve of 0.902 (95% CI 0.869-0.935). The calibration of the MSS was evaluated using the Hosmer-Lemeshow test (X

Indexed as

MalariaAdultAgedEmergency Service, HospitalFemaleHumansItalyMaleMiddle AgedRetrospective StudiesROC CurveEmergency departmentMalariaScoring system

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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.