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Record W2132215236 · doi:10.1016/s1013-7025(00)18004-2

Assessment of Thoracic Kyphosis Using the Flexicurve for Individuals with Osteoporosis

2000· article· en· W2132215236 on OpenAlexafffund
Teri L. Yanagawa, Murray E. Maitland, Keith R. Burgess, Liz Young, David A. Hanley

Bibliographic record

VenueHong Kong Physiotherapy Journal · 2000
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversity of Calgary
FundersMerck CanadaUniversity of Calgary
KeywordsMedicineKyphosisOsteoporosisIntraclass correlationPhysical therapyReliability (semiconductor)SurgeryRadiographyInternal medicinePsychometrics

Abstract

fetched live from OpenAlex

Thoracic kyphosis is one of the manifestations of spinal osteoporosis. Since kyphosis is associated with patient symptoms and is a risk factor for loss of function, it would be beneficial to have simple, noninvasive measurement techniques that can be applied in clinical practice. The purpose of this study was to assess the test–retest reliability of the measurement of thoracic kyphosis using the flexicurve ruler in individuals with osteoporosis. Twenty-six females (mean age, 67 yr) diagnosed with osteoporosis had measurements of kyphosis taken in standing by aligning a flexible drafting ruler before and after a 12-week exercise program. The time period was chosen to be consistent with the duration of a physiotherapy intervention. Measures of kyphosis height (cm), length (cm), and an index of kyphosis (height/length) were recorded. Data analysis (intraclass correlation coefficients [ICC]) indicated that the reliability between the trials of the measurement of kyphosis height (0.89) and index of kyphosis (0.93) were high; however, the reliability estimate of kyphosis length was less with an ICC value of (0.54). This study supports the use of the flexicurve ruler for the measurement of kyphosis in elderly women with osteoporosis based on reliability outcomes and the fact that it is noninvasive, inexpensive, and easy to use in a clinical setting. The measurement of kyphosis may be used to determine the response to a therapeutic intervention and in monitoring kyphotic progression.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.748

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)0.0010.000

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 head0.032
GPT teacher head0.401
Teacher spread0.370 · 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

Citations45
Published2000
Admission routes2
Has abstractyes

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