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Clinical evaluation of core decompression with bone marrow aspirate concentrate in early-stage avascular necrosis of the hip: a prospective observational study

2025· article· W7117355987 on OpenAlexaboutno aff
G. V. S. Rawi Babu, Raviteja Ukkisala

Bibliographic record

VenueInternational Journal of Research in Orthopaedics · 2025
Typearticle
Language
FieldMedicine
TopicBone and Joint Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAvascular necrosisWOMACObservational studyOsteoarthritisQuality of life (healthcare)DecompressionProspective cohort studyBone marrow

Abstract

fetched live from OpenAlex

Background: To evaluate the efficacy of core decompression (CD) combined with bone marrow aspirate concentrate (BMAC) in early-stage avascular necrosis (AVN) of the hip by assessing pain, stiffness, functional impairment and quality of life (QOL). Methods: This prospective observational study was conducted at Gemcare Kamineni Hospital, Kurnool, on 46 patients with early-stage AVN (ARCO I–III). Patients underwent CD with BMAC. Outcomes were assessed pre- and post-operatively using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scale. Data were analyzed using paired t-test. Results: Mean pain severity score decreased from 4.18±0.90 pre-operatively to 2.50±0.86 post-operatively (p<0.05). Joint stiffness improved from 3.31±0.76 to 2.15±0.76 (p<0.05). Physical functioning score improved from 3.68±0.86 to 2.38±0.78 (p<0.05). Total WOMAC score reduced significantly from 3.75±0.90 to 2.38±0.80 (p<0.05). Conclusions: Core decompression combined with BMAC provides significant pain relief, improves hip function and enhances quality of life in early-stage AVN, delaying disease progression and the need for total hip arthroplasty.

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)0.021
metaresearch head score (Gemma)0.005
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 score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.250
GPT teacher head0.503
Teacher spread0.253 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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