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A Novel External Fixator Designed for a More Comfortable and Secure Hip Arthroscopy

2022· article· en· W4210571902 on OpenAlexaboutno aff
Anıl Pulatkan, Vahdet Uçan, Fatih Yıldız, İbrahim Tuncay

Bibliographic record

VenueBezmialem Science · 2022
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHip arthroscopyExternal fixatorSurgeryArthroscopy

Abstract

fetched live from OpenAlex

Objective: To evaluate the functional results of a novel external fixator (EF) designed for joint distraction and prevention of traction table-related hip arthroscopy complications Methods: After obtaining promising results in a cadaveric study, 21 hips of 20 patients underwent EF-assisted arthroscopic hip surgeries for femoroacetabular impingement (FAI) and/or labral tear treatments.Patients were operated on a standard operating table in the supine position.A novel EF was used to distract the joint for central hip arthroscopy.The time needed for EF application and joint distraction and the amount of joint distraction were recorded.Preoperative functional scores were retrospectively compared to the postoperative 5-year follow-up results using the Harris Hip and Western Ontario and McMaster Universities Index scores.Results: All patients underwent peripheral and central arthroscopy.The mean time for EF application and joint distraction was 19 min (range: 8-21).The mean amount of joint distraction was 13.2 mm (range: 12-18).None of the arthroscopic procedures had to be converted to open surgery.Functional results of all patients were improved at the 5-year follow-up (p<0.01).Only one patient required hip arthroscopy revision due to residual FAI.No other major or minor complication was found that is related to the EF or arthroscopy itself.Conclusion: Mid-term outcomes following EF-assisted hip arthroscopy demonstrate significant improvement in the functional outcomes without traction table-related complications.EF can be used as an alternative to traction table to maintain adequate hip Amaç: Kalça artroskopisinde traksiyon masası ile ilişkili komplikasyonların önlenmesi ve eklem distraksiyonu için tasarlanmış yeni bir eksternal fiksatörün (EF) fonksiyonel sonuçlarını araştırmaktır.Yöntemler: Kadavra çalışmasında ümit verici sonuçlar elde ettikten sonra 20 hastanın 21 kalçasına femoroasetabuler sıkışma (FAS) ve/veya labral yırtık tedavisi için EF destekli kalça artroskopi cerrahisi uygulandı.Hastalar sırtüstü pozisyonda standart ameliyat masasında opere edildi.Santral kalça artroskopisinde eklemin distraksiyonu için yeni tasarım EF kullanıldı.EF uygulanması ve eklem distraksiyonu elde edilmesi için gereken süre ile distraksiyon miktarı kaydedildi.Ameliyat öncesi Harris Kalça ve WOMAC fonksiyonel skorları ameliyat sonrası beş yıllık takip sonuçları ile retrospektif olarak karşılaştırıldı.Bulgular: Tüm hastalara periferik ve santral kalça artroskopisi uygulandı.EF uygulaması ile eklem distraksiyonu için gereken ortalama süre 19 dakikaydı (dağılım: 8 ila 21).Eklem distraksiyonunun ortalama miktarı 13,2 mm (dağılım: 12-18) idi.Artroskopik prosedürlerin hiçbirinde açık cerrahiye geçilmek zorunda kalınmadı.Ameliyat sonrası beş yıllık takipte tüm hastaların fonksiyonel sonuçları ameliyat öncesine göre iyileşti (p<0,01).Sadece bir hastada rezidüel FAS nedeniyle revizyon kalça artroskopisi yapıldı.EF veya artroskopinin kendisi ile ilgili başka bir majör veya minör komplikasyon görülmedi.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.317
Teacher spread0.291 · 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 designBench or experimental
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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Published2022
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