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Record W2889439239 · doi:10.1016/j.jcm.2018.03.005

Multimodal Therapy Combining Spinal Manipulation, Transcutaneous Electrical Nerve Stimulation, and Heat for Primary Dysmenorrhea: A Prospective Case Study

2018· article· en· W2889439239 on OpenAlexaff
Jessica J. Wong, Michelle A Laframboise, Silvano Mior

Bibliographic record

VenueJournal of Chiropractic Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsMedicineSpinal manipulationPhysical therapyVisual analogue scaleAdverse effectChiropracticMenstrual cycleTranscutaneous electrical nerve stimulationProspective cohort studyLow back painMultimodal therapySurgeryAlternative medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this case study was to report the effects of multimodal therapy as an adjunct to oral contraceptives on pain and menstrual symptoms in a patient with primary dysmenorrhea. CLINICAL FEATURES: A 27-year old nulligravid and nulliparous woman presented with low back pain, thigh pain, and menstrual symptoms associated with primary dysmenorrhea. Multimodal therapies (spinal manipulation, clinic-based transcutaneous electrical nerve stimulation, and heat applied at home) were delivered over 3 menstrual cycles. Outcome measures included pain (visual analogue scale) and menstrual symptoms (Menstrual Distress Questionnaire) from baseline to follow-up. She continued to take her oral contraceptives throughout the study period. INTERVENTION AND OUTCOME: For both low back and thigh pain, the patient reported clinically important differences in average pain and worst pain after 2 and 3 months from baseline. There were no clinically important differences in current pain, best pain, or menstrual symptoms at follow-up. No adverse events were reported. CONCLUSION: Some of this patient's dysmenorrhea symptoms responded favorably to multimodal therapy over 5 months. The authors observed important short-term reductions in low back and thigh pain (average and worst pain intensity) during care.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.632

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 head0.053
GPT teacher head0.385
Teacher spread0.331 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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