MétaCan
Menu
Back to cohort
Record W4396879462 · doi:10.21037/acr-23-183

Improved postural control in a patient having adult spinal deformity and previous thoraco-lumbar scoliosis surgery: a Chiropractic Biophysics® case report

2024· article· en· W4396879462 on OpenAlexaff
Paul A. Oakley, Jason W. Haas, Deed E. Harrison

Bibliographic record

VenueAME Case Reports · 2024
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsCanadian Rheumatology Association
Fundersnot available
KeywordsChiropracticScoliosisMedicineIdiopathic scoliosisSpinal deformityLumbarDeformityPhysical medicine and rehabilitationLumbar spineSurgeryPhysical therapyAlternative medicinePathology

Abstract

fetched live from OpenAlex

Background: ) posture rehabilitation as well as balance rehabilitation in an elderly patient with long-standing spinal deformity including thoracic hyperkyphosis and a T10-L4 Harrington rod instrumentation for thoracolumbar scoliosis. Case Description: A 69-year-old female presented with the main complaint of balance and gait impairment as well as back pain and headaches. Balance assessment on a force plate showed impaired balance, in the vestibular challenging condition (eyed closed; standing on foam). Radiography showed a forward stooped posture and surgical hardware. Treatment was directed at posture by CBP methods and balance rehabilitation by a whole-body vibration exercise program. Treatment progressed over a 10-month period. The patient experienced relief of back pains and headaches. There was a clinically significant improvement in posturography including a 102 cm reduction in center of pressure (COP) path length. There was an inch reduction in forward sagittal stoop. Conclusions: A non-surgical rehabilitation program demonstrated a clinically significant improvement in balance performance in an elderly female diagnosed with osteopenia, spinal deformity, and previous spine deformity surgery. This approach to improving postural stability is important and further investigations should be undertaken.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.016
GPT teacher head0.299
Teacher spread0.283 · 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.

Study designCase report
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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAME Case ReportsSame topicScoliosis diagnosis and treatmentFrench-language works237,207