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Record W4404577929 · doi:10.2106/jbjs.24.00012

Spine-Abductor Syndrome: Novel Associations Between Lumbar Spine Disease and Hip Gluteal Muscle Pathology

2024· article· en· W4404577929 on OpenAlexaff
Monish S. Lavu, Christian J. Hecht, David C. Kaelber, George Grammatopoulos, Yasuhiro Homma, Atul F. Kamath

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsOttawa Hospital
FundersNational Center for Advancing Translational SciencesNational Institutes of HealthGeorgia Clinical and Translational Science Alliance
KeywordsMedicineLumbar spineSPINE (molecular biology)Gluteal musclesLumbarAnatomyGluteal regionPhysical medicine and rehabilitationPathologySurgeryBioinformaticsBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Risk factors for gluteal tears include age-related deterioration, female sex, and increased body mass index. As the literature that supports the sagittal relationship between the lumbar spine and the hip is increasing, there may be a parallel relationship between the perturbations in spinopelvic alignment caused by lumbar spine disease and gluteal muscle tears. Because no prior studies other than single-institution series have reported on this phenomenon, we investigated spine-abductor syndrome at the population level. METHODS: This study utilized TriNetX, a federated research network that continuously aggregates deidentified electronic health record data from >92 million patients across the United States. The relative risks of gluteal tear encounter diagnoses and procedures were calculated for patients with and without the following characteristics: age ≥45 years, female sex, obesity, lumbar spine diagnoses, lumbar spine injections, and lumbar spine surgery. Utilizing the Cox proportional hazard model, we also analyzed gluteal tear-free survival over a period of ≥10 years in subgroups of patients who had been diagnosed with lumbar pathology, had been administered a lumbar injection, or had received lumbar surgery. RESULTS: Of the 8,475,800 patients who had received lumbar spine diagnoses, undergone lumbar injections, and/or undergone lumbar surgeries, 458,311 patients (5.4%) had gluteal tears, representing a relative risk of 13.6 (95% confidence interval [CI]:13.6 to 13.6). After controlling for age, sex, and obesity, survival analysis showed markedly increased hazard ratios (HRs) for patients having a gluteal tear encounter diagnosis in the intervening 13 years (2010 to 2023) if they had had a previous lumbar spine pathology encounter diagnosis (HR: 4.8, 95% CI: 4.5 to 5.1), had undergone lumbar spine injections (HR: 7.7, 95% CI: 6.2 to 9.5), or had undergone lumbar spine surgery (HR: 6.6, 95% CI: 5.3 to 8.1) in 2010. CONCLUSIONS: These findings suggest a strong association between lumbar spine pathology and abductor tears. Further biomechanical and neuroanatomic studies may elucidate the effects of lumbar spine disease in relation to gluteal tears. Additionally, there may be a need to optimize diagnostic protocols for lateral hip pain in patients with a history of lumbar spine disease. LEVEL OF EVIDENCE: Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.044
GPT teacher head0.287
Teacher spread0.244 · 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
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

Citations1
Published2024
Admission routes1
Has abstractyes

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