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Record W3117392410 · doi:10.1177/2059513120981941

A novel approach to the proximal interphalangeal joint: The volar oblique incision – a retrospective cohort study

2020· article· en· W3117392410 on OpenAlexaff
Tomas J. Saun, Jessica Truong, Romy Ahluwalia, Robert R Richards

Bibliographic record

VenueScars Burns & Healing · 2020
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsSt Joseph's Health CareWestern University
Fundersnot available
KeywordsMedicineSurgeryRetrospective cohort studyContractureMann–Whitney U testInterphalangeal JointCohortNumerical digitOrthodontics

Abstract

fetched live from OpenAlex

Background: The surgical approach to the volar structures in the digits must be designed to provide adequate exposure of tendons, vessels and nerves but also in a way that prevents flexion contracture of the digit as the scar contracts. This is traditionally done using a zigzag ‘Bruner’ incision, first described by Dr Julian M Bruner in 1967. In this paper, we describe an alternative approach, the Volar Oblique incision, and present a single institutional cohort of patients who have undergone procedures beginning with this approach. Methods: A retrospective cohort study was performed on eight cases that involved a Bruner incision and eight similar cases that involved a volar oblique incision. Charts were reviewed for demographic data. Patients were asked to return to clinic postoperatively for scar assessment using the Patient and Observer Scar Assessment Scale (POSAS), where lower scores correspond to more favourable scar characteristics. The average follow-up period was 22 months. While in clinic, standard joint measurements were taken to assess for any proximal interphalangeal joint contracture. Demographics and questionnaire data were analysed using the Mann–Whitney U test for non-parametric data and quantitative joint measurements were analysed using Student’s t-test. Results: There was no difference in flexion contracture between the two groups. The POSAS patient score for scar irregularity was lower in the volar oblique group compared to the Bruner group, but there was no difference in any of the other subcategories, the total patient score, nor the overall patient opinion. The total POSAS observer score was lower in the volar oblique group compared to the Bruner group, with lower scores in the scar thickness, observed relief and observed pliability subcategories as well as the overall observer opinion. Conclusion: The volar oblique incision appears to be satisfactory alternative to the classic Bruner incision in hand surgery that requires volar exposure of the digits. Future studies are needed to assess the validity of these findings on a larger scale. Lay Summary [Formula: see text] There are various types of incisions that surgeons use when they operate on fingers. When choosing an incision, it is important that the incision provides good exposure to the deeper structures but does not form a tight scar that limits movement of the finger (contracture). A commonly used incision for the palmar side of the finger is the zig-zag or ‘Bruner’ incision. Some people, however, find this zig-zag scar unappealing. We started using a single diagonal incision, which we have called the volar oblique, instead of the zig-zag Bruner for access to the middle joint of the finger. We wanted to describe the volar oblique technique and then compare the quality of these two scars and also assess if one limits movement of the finger more than the other. Our research found no differences in finger contracture between groups. We did, however, find that patients reported scar irregularity more favourably in the volar oblique group and that surgeons rated scar thickness, relief (roughness) and pliability of the volar oblique scar higher than that of the zig-zag Bruner scar. This research presents a novel surgical technique and compares its results with respect to scar quality and finger contracture to the more traditional zig-zag Bruner approach.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.395

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.286
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations3
Published2020
Admission routes1
Has abstractyes

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