Observational studyBMC infectious diseases2023
Is low dose of liposomal amphotericin B effective in management of acute invasive fungal rhinosinusitis? Our conclusions from Al-Mowassat University Hospital, Syria: a prospective observational study.
Observational study in BMC infectious diseases, 2023. 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, 5 citations in OpenAlex.
- Isavuconazole in the treatment of acute invasive fungal sinusitis: two case reports and literature review.Frontiers in medicine · 2025Article
- Lipid-Based Nanotechnology: Liposome.Pharmaceutics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute invasive fungal rhinosinusitis (AIFRS) is a fatal infection associated with high morbidity and mortality. Although it is a rare disease, upsurge of AIFRS was noticed during the second wave of COVID-19 disease. Early diagnosis and management is the cornerstone for good outcomes. However, management of AIFRS is challengeable especially in developing countries due to limited resources and high prices of antifungal agents. No previous studies have been conducted to evaluate the outcomes of management of AIFRS in Syria. The purpose of this study is to report the results of management of AIFRS with low doses of liposomal amphotericin B in our tertiary hospital in Syria.
methodsThe outcomes of management of AIFRS cases were followed through a prospective observational study between January 2021 and July 2022. The required medical data were collected for each individual. Three-month mortality rate was studied. SPSS v.26 was used to perform the statistical analysis. Pearson Chi-square test was used to study the associations between different variables and mortality. Survival curves were plotted by the Kaplan-Meier to compare the survival probability. Log Rank (Mantel-Cox) test and Cox regression were conducted to evaluate the factors affecting survival within the follow up period.
resultsOf 70 cases, 36 (51.4%) were males and 34 (48.6%) were females. The mean age of patients was 52.5 years old. The most common underlying risk factor was diabetes mellitus (84.3%). The used dose of liposomal amphotericin B ranged between 2-3 mg/kg per day. The overall 3-month mortality rate was 35.7%. Significant association was found between survival and the following variables: Age, orbital involvement, stage, and comorbidity.
conclusionThe overall mortality rate was close to other studies. However, survival rate was worse than comparable studies in selected cases of AIFRS (older ages, involved orbits, advanced stages, and chronic immunodeficiency). Therefore, low doses of liposomal amphotericin B could be less effective in such cases and high doses are recommended.
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.