Evidence map›Paper›PMID 42185850›Full record

ArticleBMC pediatrics2026

Diagnosis, management, and clinical outcomes of childhood invasive aspergillosis.

Asena Ünal Tolunay, Özlem Özgür Gündeşlioğlu, Aslı Yeşiloğlu, Ümmühan Çay, Fatma Tuğba Çetin, Gökçe Oğuz, Göksu Başargan, Hatice Yelda Çığşar, Elif Su Korkmaz, Ayşe Özkan and 2 more

Abstract read
In one paragraph

Article in BMC pediatrics, 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

12 authors.

Asena Ünal TolunayDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Çukurova University, Adana, Türkiye. asenaunal@yahoo.com.ORCID 0000-0003-2233-0513
Özlem Özgür GündeşlioğluDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0003-2202-7645
Aslı YeşiloğluDepartment of Department of Medical Pathology, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0002-5435-044X
Ümmühan ÇayDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0001-5803-878X
Fatma Tuğba ÇetinDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0002-0471-8939
Gökçe OğuzDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0001-7504-345X
Göksu BaşarganDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0002-6992-9593
Hatice Yelda ÇığşarDepartment of Pediatric Hematology-Oncology, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0009-0006-3114-8982
Elif Su KorkmazDepartment of Pediatrics, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0009-0001-1732-0700
Ayşe ÖzkanDepartment of Pediatric Hematology-Oncology, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0003-1181-8169
Mahir SerbesDepartment of Pediatric Immunology and Alergy, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0001-6422-2639
Derya AlabazDepartment of Pediatric Infectious Diseases, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID 0000-0003-4809-2883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo present our clinical experience in pediatric invasive aspergillosis and to identify independent risk factors and prognostic thresholds affecting survival. MATERIALS AND

methodsWe retrospectively reviewed 30 pediatric patients diagnosed with proven or probable invasive aspergillosis at a tertiary care center between 2012 and 2025. Demographic, clinical, radiological, and laboratory data were analyzed. Receiver Operating Characteristic (ROC) curve analysis was performed to identify optimal prognostic cut-offs for laboratory markers. Multivariate logistic regression was used to identify independent associates of mortality while addressing the risk of overfitting.

resultsThirty patients were included (56.7% male; median age 114.5 months). The most common underlying diseases were hemato-oncological malignancies (53.4%), immunodeficiencies (23.3%), and non-malignant hematological diseases (23.3%). Fifteen patients (50%) were diagnosed with proven IA and 15 (50%) with probable IA. Neutropenia was seen in 22 patients (73.3%) and lymphopenia in 29 (96.7%). Crude and attributable mortality rates were 40% (n = 12) and 13.3% (n = 4), respectively. ROC analysis identified critical thresholds for mortality: ferritin > 3479 ng/mL (AUC: 0.823, p = 0.019), procalcitonin > 7.3 ng/mL (AUC: 0.745, p = 0.025), and absolute monocyte count < 0.01 × 10³/µL (AUC: 0.678, p = 0.048). In this cohort, multivariate analysis indicated that higher baseline ferritin levels were independently associated with increased mortality (OR: 1.12, 95% CI: 1.01-1.26, p = 0.038). However, hyperferritinemia was significantly more pronounced in patients with aplastic anemia (p = 0.001).

conclusionEarly diagnosis and aggressive antifungal therapy appear effective in limiting invasive aspergillosis attributable mortality. The integration of specific laboratory thresholds, particularly high ferritin and profound monocytopenia, may offer valuable insights for risk stratification in pediatric invasive aspergillosis. Future multicenter studies are warranted to validate these findings.

Indexed as

AspergillosisInvasive Fungal InfectionsAdolescentAntifungal AgentsBiomarkersChildChild, PreschoolFemaleFerritinsHumansInfantMalePrognosisRetrospective StudiesRisk FactorsROC CurveAntifungal AgentsBiomarkersFerritinsChildInvasive aspergillosisMortalityRisk factors

Identifiers

PMID42185850
PMCPMC13386944

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LicenceCC BY-NC-ND
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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.