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Record W3207150921

Overview of conditions seen on a Canadian Memorial Chiropractic College outreach to the Dominican Republic.

2021· article· en· W3207150921 on OpenAlexaffabout
Patrícia Tavares

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsChiropracticMedicineOutreachFamily medicinePhysical therapyAlternative medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: This study aims to gather information on conditions seen, treatments rendered, and referrals made during a Canadian Memorial Chiropractic College outreach to the Dominican Republic serving those in need. METHODS: Data was extracted from templated patient files retrospectively. RESULTS: Spinal, extremity and other/whole body chief complaints accounted for 71.79%, 24.64% and 3.57% respectively in patients ranging in age from 1.5 to 106 years whose data was collected. Mechanical pain accounted for 95.07% of all cervical, 96.81% of thoracic and 91.27% of lumbar spine diagnoses. Various non-mechanical conditions were also encountered.Manual therapy was performed in 96.10% of cases. Twenty referrals were made to urgent care, six to a World Spine Care clinic and 46 for further investigation, including local medical doctors or surgery. CONCLUSION: This study reports empirical data collected from an 11-day outreach to the Dominican Republic that provided otherwise unattainable chiropractic care for musculoskeletal complaints.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.716
Threshold uncertainty score0.571

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.049
GPT teacher head0.314
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuePubMed→Same topicMusculoskeletal pain and rehabilitation→French-language works237,207→