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Record W4413112036 · doi:10.1055/a-2654-7425

Brauchen wir eine Spezialsprechstunde? Wie Innovationen Interdisziplinarität in der Amputationsmedizin fördern

2025· article· de· W4413112036 on OpenAlexaff
Dominik Behringer, Magnus N. Kalff, N. Kirsten, Victor Hoursch, Viktoria Witowski, Lara Jopp, Vesta Brauckmann, Marlene Arlt, Katharina Kasprzak, Isabelle Eckhardt, Julia Schiessler, Joerg Schiller, Christoph Egen, Peter Schilke, Konstantin Bessonov, Lutz Niehage, Oliver Breitenstein, Wiebke Von Klot, Frauke Last, Lorena Klingebiel, Daniela Wüstefeld, Peter M. Vogt, Stephan Sehmisch, Jennifer Ernst

Bibliographic record

VenueHandchirurgie · Mikrochirurgie · Plastische Chirurgie · 2025
Typearticle
Languagede
FieldEngineering
TopicProsthetics and Rehabilitation Robotics
Canadian institutionsBrandon Regional Health Authority
Fundersnot available
KeywordsAmputationMedicinePsychosocialRehabilitationCohortPhysical therapySurgeryInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Amputation of a limb is often a necessary, yet irreversible surgical procedure with complex functional, psychosocial, and medical consequences. Comorbidities and concomitant injuries frequently complicate both treatment and rehabilitation. At the same time, modern surgical and technological advances offer new possibilities, while also increasing the demands on comprehensive care. In response, we established an interdisciplinary consultation service to support the multiprofessional care of amputees at our university hospital.A specialized interdisciplinary clinic was established at a German tertiary university medical centre. Its objectives include the structured assessment of amputation indications, quality assurance of orthopaedic-plastic surgical procedures, and holistic post-amputation care addressing functional, psychosocial, and prosthetic aspects. Over a 12-month observation period, we systematically recorded and analysed consultation parameters such as the number of visits, reasons for presentation, and patient and amputation demographics.A total of 474 consultations involving 183 individual patients were documented. Most cases concerned the lower extremity (86.25%), with 13.75% involving the upper extremity. The patient cohort consisted of 63.9% male (n=117) and 36.1% female patients (n=66), with a median age of 55.2±20 years. The most frequent causes of amputation were acute trauma (n=74; 45.7%), vascular diseases (n=24; 14.8%), and infections/sepsis (n=22; 13.6%). The main reasons for presentation were standard follow-up assessments (n=49; 23.1%), postoperative wound checks (n=39; 18.4%), and prosthetic counselling (n=30; 14.2%).The irreversible and multifaceted consequences of amputation require a high level of medical, therapeutic, and socio-medical coordination. Interdisciplinary care models are well established in the management of complex chronic diseases. This approach to amputee care represents a necessary paradigm shift, enabling us to meet the multidimensional needs of this patient population through integrated, patient-centred treatment.

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)0.012
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0020.003
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.009
GPT teacher head0.257
Teacher spread0.249 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2025
Admission routes1
Has abstractyes

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