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Comparison of Innervated and Non-innervated Free Glabrous Skin Flap Transfers for Volar Digital Defect Reconstructions - A patient-reported Outcome Study

2023· article· en· W4387738638 on OpenAlexaboutno aff
Ren‐Wen Huang, Mu-Chieh Chi, Chung‐Chen Hsu, Yu‐Te Lin, Shih‐Heng Chen, Che‐Hsiung Lee, Chih‐Hung Lin, Fu‐Chan Wei, Cheng‐Hung Lin

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2023
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDigital nerveSoft tissueSurgeryMicrosurgeryPulp (tooth)Hand surgeryNumerical digitDentistry

Abstract

fetched live from OpenAlex

Soft tissue defects of the volar digits can be challenging to reconstruct. Toe pulp flaps and medialis pedis flaps are two commonly used flaps for volar digital soft tissue reconstruction, each with its advantages and disadvantages. Toe pulp flaps offer similar anatomical features to the pulp of fingers and thumbs, and digital nerves can be coapted for flap innervation. (1,2) However, toe pulp flaps require more donor site management, which may result in complications such as numbness, pain, and hypersensitivity. Medialis pedis flaps, on the other hand, provide glabrous skin for reconstruction, which minimizes donor site morbidity. (2) Nevertheless, medialis pedis flaps are not innervated and may not provide adequate sensory recovery. The purpose of this study was to compare the functional outcomes, sensibility, and subjective complaints of patients who received either toe pulp flaps or medialis pedis flaps for volar digital soft tissue reconstruction. This study aimed to provide evidence-based guidance on selecting the most suitable flap for volar digital soft tissue reconstruction. A total of 101 patients who underwent toe pulp flap or medialis pedis flap reconstruction for volar digital defects between 1998 and 2017 were included in this study. Patient-reported outcomes were evaluated by three questionnaires, including the Michigan Hand Outcomes Questionnaire (MHQ), Disabilities of the Arm, Shoulder, and Hand Questionnaire (DASH), and Development of the Foot and Ankle Disability Index Questionnaire (FADI). Sensory recovery was evaluated by static two-point discrimination test (s2PD), moving two-point discrimination test (m2PD), and Semmes-Weinstein monofilament (SWM) test. Donor and recipient site subjective complaints were also collected, and the donor site scars were evaluated by the Vancouver Scar Scale. The results showed that both the toe pulp flap and medialis pedis flap reconstruction provided satisfactory patient-reported functional outcomes and comparable sensory recovery. No significant difference was observed in the sensory recovery between the two groups, although toe pulp flaps were innervated with digital nerves. However, donor site discomfort was more common in the toe pulp flap group, which was mainly due to the use of skin grafts for donor site closure. The medialis pedis flap can be preferred for defects with a width greater than 1.5 cm to avoid skin graft reconstruction to the donor site. In conclusion, the toe pulp flap and medialis pedis flap are both feasible for volar digital soft tissue reconstruction. The choice of the flap should be based on the defect size and the preference of the surgeon. References: 1. Lin, C. H., Lin, Y. T., Sassu, P., Lin, C. H., Wei, F. C. Functional assessment of the reconstructed fingertips after free toe pulp transfer. Plastic and Reconstructive Surgery 2007;120:1315-1321. 2. Koshima, I., Inagawa, K., Urushibara, K., Okumoto, K., Moriguchi, T. Fingertip reconstructions using partial-toe transfers. Plast Reconstr Surg 2000;105:1666-1674. 3. Tsai, F. C., Cheng, M. H., Chen, H. C., Wei, F. C. Microsurgical medialis pedis flaps for reconstruction of soft-tissue defects in the hand. Ann Plast Surg 2002;48:41-47.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.336
Teacher spread0.282 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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