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Record W2899648185 · doi:10.1111/os.12403

Conjoint Removal of Hip Screw–Femur Head during Hip Replacement after Previous Dynamic Hip Screw Fixation

2018· article· en· W2899648185 on OpenAlexaboutno aff
Sharath Kittanakere Ramanath, Rahul Hemant Shah, Kanika Kaushik

Bibliographic record

VenueOrthopaedic Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePeriprostheticDynamic hip screwFemurHarris Hip ScoreSurgeryFixation (population genetics)Hip fractureFemoral headHip resurfacingArthroplastyHip replacementFemoral neckOsteoporosisPopulation

Abstract

fetched live from OpenAlex

The purpose of this study was to demonstrate the reduced chances of iatrogenic femoral neck fracture while removing the Richard's screw using the dynamic hip screw–femur head conjoint removal technique. This retrospective cohort study analyzed 16 hips operated on with total hip arthroplasty from March 2010 to February 2015. All cases were previously treated with dynamic hip screws (DHS) for proximal femur fractures. The age of the patients ranged from 20 to 75 years. We used uncemented sockets in 15 patients and cemented sockets in 1 patient. We used conical fluted straight stems in 9 cases, ML (Mediolateral) tapered stems in 5 patients and CLS (Cementless Spotorno) stems in 2 patients. The head of the femur was removed together with the attached Richard's screw after taking a neck cut during hip replacement after previous dynamic hip screw fixation. At 2‐year follow‐up, there was a statistically significant improvement in the Harris hip score: from a mean preoperative score of 35 ± 7.975 to a mean postoperative score of 89.38 ± 4.870 ( P < 0.001). Stem sinking and Type A L (Vancouver classification for periprosthetic fracture) periprosthetic fracture in 1 patient with a tapered stem was noted. Good acetabular inclination was achieved in all cases. At 2‐year follow‐up, all patients were able to carry out their daily activities. This is a novel technique with the advantage of avoiding iatrogenic femoral neck fracture in an osteoporotic bone.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.270
Teacher spread0.250 · 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 designCase report
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

Citations3
Published2018
Admission routes1
Has abstractyes

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