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Fixation of inter trochanteric fractures by various types of cephallomedullary nails: A tertiary care center review

2020· article· en· W3034595877 on OpenAlexaboutno aff
Vidya Sagar, Ashutosh Kumar, Nitin Kumar, Santosh Kumar

Bibliographic record

VenueInternational Journal of Orthopaedics Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNail (fastener)Orthopedic surgeryMedullary cavityIntramedullary rodSurgeryFixation (population genetics)FemurRadiological weaponDynamic hip screwDentistryOrthodonticsAnatomy

Abstract

fetched live from OpenAlex

Background: Trochanteric fractures are of intense interest globally, as they are frequently operated. They are fixed commonly either by Dynamic hip screw (DHS) or proximal femoral nail (PFN). The mechanical strength of the nail and less invasive procedure has made the procedure preferable. The different types of nails that are commonly used are, Proximal Femoral Nail (PFN), Proximal Femoral Nail Antirotation2 (PFN A2), Hip fracture nail (HFN) and Halifax nail. The aim of the study was to review intertrochanteric fractures fixation by various types of cephallo medullary nails. Methods:A retrospective study was conducted at Orthopaedics department of IGIMS, Patna, India. Records of 51 cases operated during 2015 to 2018 which had completed at least one year of follow up and fulfilled the inclusion and exclusion criteria were evaluated. All had been treated using various types of proximal femoral nail for Trochanteric fractures of femur. A radiological assessment was made with serial X-rays.Results:Most of the patients were between 70-80 years of age. PFN was used in 22, PFNA2 in 24, HFN in 3 and Halifax in only 2 patients. A statistically significant difference (p

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.315
Teacher spread0.302 · 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 designObservational
Domainnot available
GenreReview

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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Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueInternational Journal of Orthopaedics SciencesSame topicHip and Femur FracturesFrench-language works237,207