Evidence map›Paper›PMID 40126688›Full record

ArticleSkeletal radiology2025

A soft tissue lesion caused by Mycobacterium malmoense.

Maria Rodrigues, Simranjeet Kaur, Ali Al Khader, Adrienne M Flanagan, Karen Shepherd, Naomi Winn

Abstract readCase Reports
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In one paragraph

Article in Skeletal radiology, 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

6 authors.

Maria RodriguesDepartment of Radiology, Centro Hospitalar Universitário de São João, Porto, Portugal. inesreisrodrigues@gmail.com.
Simranjeet KaurDepartment of Radiology, Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, UK.
Ali Al KhaderDepartment of Histopathology, Royal National Orthopaedic Hospital, Stanmore, UK.
Adrienne M FlanaganDepartment of Histopathology, Royal National Orthopaedic Hospital, Stanmore, UK.
Karen ShepherdDepartment of Orthopaedics, Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, UK.
Naomi WinnDepartment of Radiology, Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a rare case of a soft tissue infection caused by Mycobacterium malmoense in an 88-year-old woman, a former farmer. The patient presented with a non-healing lesion on her right forearm, which had been increasing in size over 2 months. Ultrasound and magnetic resonance imaging (MRI) showed subcutaneous nodular lesions, and the patient was referred to the multidisciplinary soft tissue tumour meeting at our institution. A biopsy was performed, and the histopathological examination revealed granulomatous inflammation with abundant Ziehl-Neelsen-positive microorganisms, indicative of a mycobacterial infection. A polymerase chain reaction (PCR) assay identified Mycobacterium malmoense as the infective agent. Combined antibiotic treatment resulted in a significant clinical improvement. This case raises awareness about this uncommon pathogen, particularly causing soft tissue infections. The report also highlights the features on imaging, its treatment, and the appropriate utilisation of technology to reach a correct diagnosis.

Indexed as

Mycobacterium Infections, NontuberculousSoft Tissue InfectionsAged, 80 and overAnti-Bacterial AgentsBiopsyDiagnosis, DifferentialFemaleForearmHumansMagnetic Resonance ImagingUltrasonographyAnti-Bacterial AgentsEnvironmental mycobacteriaGranulomatous inflammationMycobacterium malmoenseSoft tissue infection

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.