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Record W2774384673 · doi:10.5371/hp.2017.29.4.270

Outcomes of Cephalomedullary Nailing in Basicervical Fracture

2017· article· en· W2774384673 on OpenAlexaboutno aff
Seok Hyun Kweon, Sung Hyun Lee, Seng Hwan Kook, Young Chae Choi

Bibliographic record

VenueHip & Pelvis · 2017
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsnot available
FundersWonkwang University
KeywordsIntramedullary rodMedicineRadiological weaponHarris Hip ScoreGreater trochanterSurgeryRadiographyFluoroscopyFemoral neckFemurReduction (mathematics)TrochanterOsteoporosisInternal medicine

Abstract

fetched live from OpenAlex

Purpose: A basicervical femoral fracture is defined as a fracture of base of neck of femur that occurs medially from intertrochanteric line above lesser trochanter. In this study, we intended to evaluate radiological and clinical results of basicervical femoral fractures treated by intramedullary nailing. Materials and Methods: Fifteen patients, who underwent intramedullary nailing among 50 patients, out of 50 who were diagnosed with basicervical femoral fractures from July 2012 to May 2015 were studied. All of 15 patients' fracture were two-part basicervical fractures. Using radiography, we characterized the: i) state of reduction, ii) location of the lag screw, iii) tip apex distance (TAD), and iv) sliding distance of lag screw and bone union. Additionally, we performed clinical assessment before injury and at final follow-up. Results: In radiological assessment, we achieved acceptable reduction state in all patients. All lag screws were fixated on appropriate locations. Mean TAD was 17.3 mm (11.0-21.1 mm), which showed insertion point of <25 mm in all cases. The mean sliding distance of the lag screw was 5.1 mm (0.1-16.0 mm) at the final follow-up. The mean bone union period was 4.8 months (3-10 months) with achieving in all cases. In clinical assessment, Harris hip score, visual analogue scale score and Western Ontario and McMaster Universities Arthritis Index score, all of them significantly improved postoperatively compared with preoperative scores (P<0.05).

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)0.000
metaresearch head score (Gemma)0.000
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 score0.016
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.325
Teacher spread0.304 · 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".

Quick stats

Citations30
Published2017
Admission routes1
Has abstractyes

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