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Record W2951174728 · doi:10.21083/surg.v11i0.4146

Sacroiliac joint pain: Where are we now?

2019· article· en· W2951174728 on OpenAlexaffvenue
Olena Klahsen

Bibliographic record

VenueSURG Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineSacroiliac jointProvocation testPhysical therapyPhysical medicine and rehabilitationJoint painSymphysisAlternative medicineSurgeryPathology

Abstract

fetched live from OpenAlex

Sacroiliac joint pain is often interpreted by healthcare practitioners as non-specific pain in the lower back region. This has resulted in many cases of sacroiliac joint pain being misdiagnosed as general chronic low back pain, which has led to large gaps in the knowledge regarding its exact causes and manifestation. The pain is theorized to develop because of the loss of form and/or force closure leading to destabilization and sacroiliac joint dysfunction. Current diagnostic tests include pain provocation tests and intra-articular injections. The intra-articular injections may exclude individuals with extra-articular pain, so more inclusive testing should be considered for use in clinical practice such as range of motion assessment or pubic symphysis analysis. Recent literature does not support the use of present treatments by healthcare practitioners as the therapies lack well designed studies to confirm their efficacy, are extremely invasive, or have minimal symptom management capabilities. Additional research into current and new treatment strategies needs to be done to determine their efficacy in managing this condition. Overall, the development of an animal model of the condition is recommended to better evaluate and improve the diagnosis and treatment of sacroiliac joint pain.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0030.001

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 head0.015
GPT teacher head0.265
Teacher spread0.249 · 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 designNot applicable
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
Published2019
Admission routes2
Has abstractyes

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