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Record W2290772679 · doi:10.14288/1.0092276

Manual therapy and the osteoporotic spine

2009· article· en· W2290772679 on OpenAlexaff
Meena M. Sran

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineSPINE (molecular biology)OsteoporosisInternal medicineBioinformatics

Abstract

fetched live from OpenAlex

Among older adults, osteoporosis and back pain are common alone, and also in combination. These conditions can cause enormous personal suffering and societal burden. A mainstay of physiotherapy treatment of back pain is the category of hands-on treatments known as 'manual therapy'. These are routinely used to assess and treat back pain in various clinical settings but their safety, efficacy, and mechanism of action has not previously been studied in individuals with back pain and osteoporosis. The objectives of this thesis were to investigate, (1) the evidence for the effectiveness of manual therapy for spinal pain, (2) physiotherapists' perceptions and practice behaviors with respect to the use of manual therapy on individuals with osteoporosis, (2) the safety of posteroanterior (PA) spinal mobilization in the osteoporotic spine, (3) detection and determinants of spinal fracture under a PA load, and (4) whether PA stiffness can predict intervertebral range of motion (ROM) and flexibility in the cadaveric midthoracic spine of older adults. To achieve these objectives I used a variety of research methods that included; a systematic review, a survey (171 physiotherapists), biomechanical testing, plain radiography, computed tomography (CT), dual energy X-ray absorptiometry, ash weight, and micro-computed tomography (12 cadaveric spine segments, one intact cadaver, 2 physiotherapists, 7 participants). The systematic review indicated that: (i) physiotherapy that included manual therapy at a dose of 30-45 minutes per session, for 4-8 weeks was effective in adult populations with back or neck pain, and (ii) clinically relevant differences between the manual therapy interventions used in clinical trials may influence the outcomes. My survey of physiotherapists found that 91% of respondents were concerned about fracture as a complication of treatment when using manual therapy in patients with osteoporosis. Among the key findings in my study of vertebral biomechanics using cadaveric midthoracic spine segments was that vertebral body injury is an unlikely complication of PA mobilization in the midthoracic spine. Simulated PA mobilization using a mechanical testing machine produced spinous process fractures in every case and no vertebral body fractures. There was a reasonable margin between the failure load, in vitro, and the applied mobilization load, in vivo, for most specimens, however the lowest fracture thresholds (200N) approached the same force as the upper range of the applied loads (223N). Bone mineral density (BMD) of the whole vertebra was not a good predictor of PA failure load (r=0.18, p=0.68) but micro-CT measures of regional bone volume fraction of the spinous process base and middle regions, the sites of fracture, were strongly correlated with PA failure load (base: r=0.74, p=0.01; mid: r=0.73, p=0.01). Plain radiography and CT had poor sensitivity for these spinous process fractures (detected 3/12 and 6/12 fractures, respectively). DXA scanning was an appropriate surrogate measure for thoracic spine segment bone mineral measurement. Volumetric BMD can be accurately estimated using the elliptical cylinder method. Trabecular thickness differs significantly between the spinous process and lamina regions, and may have influenced the site of fracture (p=0.003). Cadaveric studies of spine kinematics during PA mobilization showed that the mobilized thoracic vertebra moves into extension as a result of the mobilization. Further, in cadaveric midthoracic spine segments from older adults, PA stiffness is inversely correlated with ROM and flexibility at the level at which the PA mobilization is applied (r= -0.78 - -0.90).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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
Published2009
Admission routes1
Has abstractyes

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