Evidence map›Paper›PMID 40271282›Full record

ArticleCureus2025

Rhino-Orbital Mucormycosis in a Postpartum Diabetic Patient: An Atypical Presentation of Oral Ulcers and Facial Swelling.

Taha Zahid Chaudhry, Muhammad Abubakar, Fnu Manisha

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

3 authors.

Taha Zahid ChaudhryInternal Medicine, Holy Family Hospital, Rawalpindi, Rawalpindi, PAK.
Muhammad AbubakarInternal Medicine, Wah Medical College, Wah Cantonment, PAK.
Fnu ManishaInternal Medicine, Peoples University of Medical and Health Sciences For Women, Nawabshah, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucormycosis is a rare, life-threatening fungal infection primarily affecting immunocompromised individuals, particularly those with poorly controlled diabetes mellitus. This case report presents a 40-year-old female with a decade-long history of uncontrolled type 2 diabetes who developed progressively worsening oral ulcers, facial swelling, and vomiting, following a recent stillbirth. The patient exhibited extensive necrotic lesions involving the nose, oropharynx, and soft palate, leading to a high suspicion of invasive fungal infection. Diagnostic imaging with magnetic resonance imaging (MRI) revealed extensive sinus and orbital involvement, while histopathological examination confirmed rhino-orbital mucormycosis. The patient was managed with liposomal amphotericin B, strict glycemic control, and surgical debridement to remove necrotic tissue. This case underscores the importance of early recognition and multidisciplinary management of mucormycosis, particularly in atypical presentations involving postpartum immunosuppression. Given the rising incidence of invasive fungal infections, clinicians must maintain a high index of suspicion in high-risk patients, especially those with uncontrolled diabetes. Awareness of mucormycosis and its varied clinical presentations can aid in timely diagnosis and improve patient outcomes. The report highlights a unique presentation in a postpartum female, suggesting a potential link between obstetric complications and invasive fungal infections, warranting further research into postpartum-related immunosuppression as a risk factor.

Indexed as

antifungal therapycase reportdiabetes mellitusinvasive fungal infectionmucormycosispostpartum immunosuppressionrhino-orbital mucormycosissurgical debridement

Identifiers

PMID40271282
PMCPMC12015137

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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.