ArticleBMC infectious diseases2025
Evaluating the diagnostic efficacy of metagenomic next-generation sequencing in bronchoalveolar lavage fluid for pulmonary cryptococcosis with different clinical and imaging characteristics.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- The future of fungal diagnostics: What's next in laboratory testing for invasive fungal infection?Medical mycology · 2026Review
- Pulmonary cryptococcosis with or without immunocompromise: a retrospective comparative study of clinical and CT features and influential factors for lesion absorption.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to explore the diagnostic value of bronchoalveolar lavage fluid metagenomic next-generation sequencing (BALF-mNGS) in patients with pulmonary cryptococcosis (PC) exhibiting different clinical and imaging characteristics, thereby enhancing clinical physicians' understanding and application of BALF-mNGS in diagnosing PC.
methodsA total of 84 patients with PC and 84 non-cryptococcosis patients admitted to the First Affiliated Hospital of Ningbo University from February 2020 to April 2025 were enrolled in this study. Data on basic demographics, medication history, comorbidities, clinical presentations, laboratory test results, imaging findings, and serological test results were collected. The sensitivity and specificity of BALF-mNGS for diagnosing PC and its diagnostic sensitivity across different clinical features were analyzed.
resultsAmong the 84 patients with PC, 46 were males and 38 were females. BALF-mNGS results were positive in 72 cases and negative in 12 cases. All 84 non-cryptococcosis patients tested negative using BALF-mNGS. The sensitivity of BALF-mNGS for detecting PC was 85.71%, whereas the specificity and positive predictive value were both 100.00%. Among the 48 patients presenting with cough or sputum, BALF-mNGS was positive in 45 cases, yielding a sensitivity of 93.33%, significantly higher than that of patients without cough or sputum (P < 0.05). Among the 38 patients with lesions located in the right lung, BALF-mNGS was positive in 36 cases, resulting in a sensitivity of 94.74%, higher than that for patients with lesions in the left lung or both lungs (P < 0.05). Of the 57 patients with multiple lesions, 53 tested positive with BALF-mNGS, resulting in a sensitivity of 92.98%, significantly higher than that of patients with single lesions (P < 0.05).
conclusionsBALF-mNGS demonstrated high sensitivity for diagnosing PC, particularly in patients presenting with cough or sputum, right lung lesions, or multiple lesions. This serves as a valuable tool for the early diagnosis of PC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.