ReviewCurrent diabetes reports2021
Metagenomics to Identify Pathogens in Diabetic Foot Ulcers and the Potential Impact for Clinical Care.
Review in Current diabetes reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 12 citations in OpenAlex.
- Can commensals alter pathogen's antibiotic resistance during co-culture?Journal of medical microbiology · 2026Article
- Integration of localized microbiome, metabolome, and clinical datasets predicts healing in chronic wounds among veterans.bioRxiv : the preprint server for biology · 2025Article
- The landscape of biofilm models for phage therapy: mimicking biofilms in diabetic foot ulcers using 3D models.Frontiers in microbiology · 2025Review
- Metagenomic and ribosomal transcript profiles of diabetic foot osteomyelitis in Hispanic patients: underestimated bacteria in biofilm persistence.Frontiers in cellular and infection microbiology · 2025Article
- Modulations of the skin microbiome in skin disorders: A narrative review from a wound care perspective.International wound journal · 2024Review
- Anaerobes in diabetic foot infections: pathophysiology, epidemiology, virulence, and management.Clinical microbiology reviews · 2024Review
- The gut microbiota pathway mechanisms of diabetes.AMB Express · 2023Review
- Antimicrobial analysis of honey against Staphylococcus aureus isolates from wound, ADMET properties of its bioactive compounds and in-silico evaluation against dihydropteroate synthase.BMC complementary medicine and therapies · 2023Article
- On diabetic foot ulcer knowledge gaps, innovation, evaluation, prediction markers, and clinical needs.Journal of diabetes and its complications · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewDiabetes mellitus may affect every third adult American by 2050, and about one-third will develop a diabetic foot ulcer (DFU) during their lifetime. The current standard of care results in healing of less than 50% of all DFUs. Many individuals with DFU develop limb-threatening infection which place them at risk for additional morbidity and mortality. We review research associated with culture-independent next-generation sequencing techniques pertaining to diabetic foot ulcers and their potential for clinical application. RECENT
findingsDiabetic foot ulcers are a growing problem and clinicians are limited by their reliance on conventional culture. Metagenomic sequencing technology provides an unparalleled viewpoint of the polymicrobial constituency of DFU. The microbiome techniques used to study the microbial constituency of DFU may offer insight to improve care for these patients, but without standardized approaches in research based on real-world clinical practices, a significant knowledge gap will remain.
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.