ReviewLa Radiologia medica2020
Bone and soft tissue infections in patients with diabetic foot.
Review in La Radiologia medica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed, 16 citations in OpenAlex.
- Advances in the application of artificial intelligence-driven multi-modal imaging technologies in the comprehensive diagnosis and treatment of diabetic foot ulcers.Reviews in endocrine & metabolic disorders · 2026Review
- Click-crosslinked nano-hydrogel enables metabolic immune reprogramming for diabetic foot ulcers.Science China. Life sciences · 2026Article
- The added value of ZTE MRI in the assessment of diabetic foot disease.Skeletal radiology · 2026Article
- Calcium phosphate-based anti-infective bone cements: recent trends and future perspectives.Frontiers in pharmacology · 2025Review
- Musculoskeletal infections through direct inoculation.Skeletal radiology · 2024Review
- Article
- Engineered exosomes as a prospective therapy for diabetic foot ulcers.Burns & trauma · 2024Review
- The Role of Serial Radiographs in Diagnosing Diabetic Foot Bone Osteomyelitis.Mediterranean journal of hematology and infectious diseases · 2022Article
- Magnetic resonance imaging of musculoskeletal infections.Polish journal of radiology · 2022Review
- Plantar forefoot pain: ultrasound findings before and after treatment with custom-made foot orthoses.La Radiologia medica · 2021Article
- Diabetic Foot Infections: The Diagnostic Challenges.Journal of clinical medicine · 2020Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bone and soft tissue infection involving the foot is a serious complication of diabetes mellitus and represents a major public health and socioeconomic burden to National Health Services worldwide. Research in the past decade has improved diagnosis and treatment of these frequent and potentially devastating complications of diabetic foot which often remain difficult to be diagnosed and treated despite the availability of various clinical, serological, and imaging modalities. Furthermore, neuropathic osteoarthropathy can share many clinical and imaging features of osteomyelitis, and infection is often superimposed in patients with neuropathic disease. Thus, distinguishing between the two abnormalities is further complicated. Although the reference standard for diagnosis remains microbiologic analysis of bone specimens, in most clinical practice, soft tissue and bone infection involving the diabetic foot is diagnosed solely on the basis of a combination of clinical evaluation, serum inflammatory markers, and imaging modalities. Correlation between imaging findings and clinical features is very important as well as a common knowledge base for treatment team members rather than a compartmentalized view. Thus, the primary purpose of this review article was to provide radiologist and clinician with important clinical knowledge and relevant radiological semiotics, respectively, in order to facilitate a prompt diagnosis and personalised treatment of diabetic foot infections.
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.