ArticleJournal of family medicine and primary care2024
Assessment of clinical and histopathological characteristics in COVID-19-associated mucormycosis (CAM) patients correlating with outcome: A hospital-based cross-sectional study.
Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Clinical characteristics of patients with COVID-19-associated mucormycosis (CAM) hospitalized at Shafa Hospital, Kerman: 2022.BMC infectious diseases · 2025Article
- Enhancing clinical and histopathological insights on COVID-19-associated mucormycosis (CAM).Journal of family medicine and primary care · 2025Article
- Impact of COVID-19 on mucormycosis presentation and laboratory values: A comparative analysis.PloS one · 2025Article
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
Background: The second wave of the COVID-19 pandemic led to a very dreaded complication of mucormycosis. Immunosuppressive action of the COVID-19 virus, co-morbidities, for example, diabetes mellitus (DM), hypertension, use of steroids, and humidified oxygen, are among the important factors that make the patients susceptible to developing mucormycosis. Objective: The present study was conducted to identify and understand all the significant histological changes including the type and extent of tissue involvement, the pattern of inflammation, the volume of fungal hyphae, hemorrhage, etc., in patients with COVID-19 associated mucormycosis (CAM) and correlate with clinical outcome. Method: It was a retrospective cross-sectional observational study involving all the patients of CAM, who underwent debridement or biopsy over a period of 5 months, from April 01, 2021, to August 31, 2021. CAM was classified based on the radiological evaluation, clinical features, and organs involved. Different demographic, clinical, laboratory, and histologic parameters were recorded. The variables were assessed for their association with poor clinical outcomes using multiple logistic regression. Results: A total of 146 patients were included in the study with a mean age of 49.4 years and 71.2% were male. Sino-naso-palatal was the most common type of CAM (32.9%), while sino-naso-cerebral was the least common (14.3%). DM was present in 54.1% of patients, out of which 26.6% were recently diagnosed. The death occurred in 21.9% of patients. Maximum mortality was observed in CAM of sino-naso-cerebral involvement (42.9%). Total leucocyte count (TLC) [OR = 0.87; 95%CI: 0.76-0.97; Conclusion: CAM more commonly affects males with co-morbidities. TLC and CRP were significantly associated with poor outcomes. Histologically, the involvement of skin, muscle, and cartilage and the presence of excessive fungal hyphae and thrombosis were also associated with poor outcomes.
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.