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Record W3112165978 · doi:10.1177/2325967120966162

Bone Marrow Concentrate Injection Treatment Improves Short-term Outcomes in Symptomatic Hip Osteoarthritis Patients: A Pilot Study

2020· article· en· W3112165978 on OpenAlexaboutno aff
Kaitlyn E. Whitney, Karen K. Briggs, Carolyn Chamness, Ioanna K. Bolia, Johnny Huard, Marc J. Philippon, Thos A. Evans

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisWOMACBody mass indexPhysical therapyHarris Hip ScoreArthritisSurgeryInternal medicineRadiography

Abstract

fetched live from OpenAlex

Background: Osteoarthritis (OA) is one of the leading causes of disability in the United States, the hip being the second most affected weightbearing joint. Autologous bone marrow concentrate (BMC) is a promising alternative therapy to conventional treatments, with the potential to mitigate inflammation and improve joint function. Purpose: To investigate the effectiveness of a single intra-articular BMC injection for patients with symptomatic hip OA. Study Design: Case series; Level of evidence, 4. Methods: A total of 24 patients diagnosed with symptomatic hip OA who elected to undergo a single BMC injection were prospectively enrolled in the study. Patients were excluded if they reported a preinjection Numeric Rating Scale (NRS) score for pain with activity of <6 points out of 10. The Western Ontario and McMaster Universities Arthritis Index (WOMAC), modified Harris Hip Score (mHHS), Hip Outcome Score–Activities of Daily Living (HOS-ADL), 12-Item Short Form Health Survey (SF-12), and NRS pain scores were collected before and after the procedure (6 weeks, 3 months, and 6 months). Joint space and Tönnis OA grade scores were recorded on preinjection anteroposterior pelvis radiographs. Results: A total of 18 hips from 16 patients (7 male and 9 female) (mean age, 57.6 ± 11; mean body mass index, 25.9 ± 3.6 kg/m 2 ) were used in the final analysis. Significant improvements were observed in NRS pain with activity (from 8 to 4.5; P < .001) and without activity (from 5 to 1; P < .001), WOMAC (from 31 to 16; P = .006), mHHS (from 63 to 80; P = .004), and HOS-ADL (from 71 to 85; P = .014) over 6 months. At 6 months, all patients maintained their improvements and did not return to preprocedure status. BMI significantly correlated with baseline WOMAC scores ( P = .012) and inversely correlated with 6-month SF-12 Physical Component Summary ( P = .038). Tönnis grades 2 and 3 were inversely correlated with 6-week SF-12 Mental Component Summary ( P = .008) and 3-month pain with activity ( P = .032). No serious adverse events were reported from the BMC harvest or injection procedure. Conclusion: A single BMC injection can significantly improve subjective pain and function scores up to 6 months in patients with symptomatic hip OA. Further studies are warranted to evaluate BMC treatment against other therapeutics in a larger sample size and compare the biological signature profiles that may be responsible for the therapeutic effect.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.023
GPT teacher head0.265
Teacher spread0.242 · 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 designNon-randomized trial
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

Citations17
Published2020
Admission routes1
Has abstractyes

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