Evidence map›Paper›PMID 40022079›Full record

Observational studyBMC musculoskeletal disorders2025

Does preoperative muscle biopsy predict the outcome of lower extremity amputation in diabetic patients? a prospective observational study.

Ihsan Akan, Tayfun Bacaksiz, Mehmet Maden, Arzu Avci, Mahmut Tuncez, Cemal Kazimoglu

Abstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ihsan AkanDepartment of Orthopaedics and Traumatology, Izmir Katip Celebi University, Izmir, Turkey. ihsan.akan@ikc.edu.tr.ORCID http://orcid.org/0000-0002-9473-7307
Tayfun BacaksizDepartment of Orthopaedics and Traumatology, Izmir Katip Celebi University, Izmir, Turkey.ORCID http://orcid.org/0000-0002-8090-4370
Mehmet MadenDepartment of Orthopaedics and Traumatology, Izmir Ataturk Training and Research Hospital, Izmir, Turkey.ORCID http://orcid.org/0000-0001-5298-6674
Arzu AvciDepartment of Pathology, Izmir Tınaztepe University, Izmir, Turkey.ORCID http://orcid.org/0000-0002-5522-0022
Mahmut TuncezDepartment of Orthopaedics and Traumatology, Izmir Ataturk Training and Research Hospital, Izmir, Turkey.ORCID http://orcid.org/0000-0002-4985-5021
Cemal KazimogluDepartment of Orthopaedics and Traumatology, Izmir Katip Celebi University, Izmir, Turkey.ORCID http://orcid.org/0000-0003-2089-5043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetermining the most appropriate level of amputation in patients with diabetes mellitus has not been well established. The purpose of this study is to determine whether muscle biopsy reveals predictive information about the success rate of patients undergoing diabetic major lower limb amputation.

methodsA prospective observational study was conducted among diabetic patients who underwent below-knee amputation. Skin-subcutaneous and muscle biopsy samples were obtained during the operation from 62 patients who undergo major limb amputation. Depending on the complications after surgery, patients were assigned into three groups: Group 1 consisted of patients with adequate wound healing without any complications; Group 2 included patients with prolonged wound healing requiring additional interventions like debridement; and Group 3 consisted of patients who underwent reamputation at a more proximal level. Biopsy samples of the groups were compared regarding degenerative cells, inflammatory cells, and the presence of infection.

resultsThere was a significant difference between Groups 1 and 3 regarding the presence of abscess formation and infection (p < 001). Comparison of Groups 1 and 3 revealed significant differences regarding inflammatory cell count, respectively (p < 001). According to the results of the ROC analysis performed for histopathologic cellular evaluation, 15% for inflammatory cell ratio in muscle samples and 25% for degenerative cell ratio both in muscle and skin samples were determined as cut-off values.

conclusionsThe presence of increased degenerative cell count and infection in muscle biopsy areassociated with higher rates of reoperation. The present study revealed that preoperative muscle biopsy has predictive value in patients undergoing major limb amputation. LEVEL OF EVIDENCE: Level II, Prospective observational study.

Indexed as

Amputation, SurgicalLower ExtremityMuscle, SkeletalPreoperative CareAgedBiopsyFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesTreatment OutcomeWound HealingAmputationDiabetus mellitusLower limbMuscle biopsyRe-operation

Identifiers

PMID40022079
PMCPMC11869632

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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.