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Record W4414400809 · doi:10.1097/asw.0000000000000343

Use of Oral Antibiotics for Diabetic Foot Osteomyelitis: A Systematic Review

2025· review· en· W4414400809 on OpenAlexaffabout
Siddhartha Sood, Ryan S.Q. Geng, Jihad Waked, Asfandyar Mufti, Aswen Sriranganathan, R. Gary Sibbald

Bibliographic record

VenueAdvances in Skin & Wound Care · 2025
Typereview
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsWomen's College HospitalTrillium Health CentreGolder Associates (Canada)University of OttawaUniversity of TorontoSunnybrook Health Science CentreWestern University
Fundersnot available
KeywordsAntibioticsAntimicrobial stewardshipIntravenous therapyDiabetes mellitusMEDLINEOsteomyelitisPharmacotherapyRefractory (planetary science)Diabetic foot

Abstract

fetched live from OpenAlex

The optimal treatment modality for diabetic foot osteomyelitis (DFO) remains unclear. The current guidelines from Diabetes Canada recommend the use of oral antibiotics and/or intravenous antibiotics with no preferred agent or route of administration. This report aimed to evaluate the current evidence surrounding oral antibiotic therapy for DFO. Embase and MEDLINE databases were searched for original articles written in English that reported efficacy and safety data on oral antibiotic use for this indication. Twenty-six unique studies were included, encompassing 972 patients treated with oral antibiotics. The mean age was 64.6 years (range: 30 to 90 y). When used as monotherapy, the complete resolution and partial resolution rate for oral antibiotic therapy were 75.2% (539/717) and 3.2% (23/717), respectively. When used as a step-down therapy after intravenous antibiotics, the complete and partial resolution rate for oral antibiotics were 56.5% (155/255) and 20.4% (52/255), respectively. No resolution of DFO resulting in refractory infection or amputation was observed in 155 (21.6%) cases of oral antibiotics monotherapy and 59 (23.1%) of step-down therapy. Recurrence rates for oral antibiotics monotherapy and step-down therapy were 5.4% (39/717) and 3.9% (10/255), respectively. Oral antibiotic therapy demonstrates favorable outcomes in DFO comparable to intravenous treatment. Oral antibiotic therapy may be especially useful in low-resource settings where hospital beds are limited and in situations where patients require ambulation. Nonetheless, patients should be counselled on the vital importance of adherence, and resource stewardship should be practiced by health care providers to avoid antibiotic resistance. GENERAL PURPOSE: To present a systematic review article evaluating the utility of oral antibiotics for the treatment of diabetic foot osteomyelitis. JOURNAL/aswca/04.03/00129334-202511000-00004/figure1/v/2025-11-11T122732Z/r/image-jpeg TARGET AUDIENCE: This continuing education activity is intended for physicians; physician assistants; nurse practitioners; podiatrists/other foot specialists; and registered nurses with an interest in skin, wound, and diabetic foot care. LEARNING OBJECTIVES/OUTCOMES: After completing this continuing education activity, the participant should be better able to: Summarize the evidence the authors considered when evaluating the utility of oral antibiotics for diabetic foot osteomyelitis.Select the characteristics of the participants and settings in which oral antibiotic therapy was utilized.Identify the results of the authors' study assessing the use of oral antibiotics.Discuss potential situations in which oral antibiotic therapy may provide favorable outcomes as monotherapy or in conjunction with intravenous antibiotics for diabetic foot osteomyelitis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0060.009
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.376
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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