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Record W2899333629 · doi:10.14300/mnnc.2018.13105

Osteopathy is a new medical specialty. Assessment of clinical effectiveness of osteopathic manipulative therapy in various diseases

2018· article· en· W2899333629 on OpenAlexaff
Yu. P. Potekhina, Е. С. Трегубова, Д. Е. Мохов

Bibliographic record

VenueMedical news of the North Caucasus · 2018
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Sciences
Canadian institutionsTellabs (Canada)
Fundersnot available
KeywordsOsteopathySpecialtyMedicineManual therapyOsteopathic medicine in the United StatesPhysical therapyAlternative medicineMedical physicsFamily medicinePathology

Abstract

fetched live from OpenAlex

The review shows the effectiveness of osteopathic manipulative therapy (OMT) of various diseases basing on randomized controlled trials. OMT reduces pain and increases the mobility of joints and spine in musculoskeletal diseases. OMT has an analgesic effect. It influences on the peripheral and central links of the nociceptive system, and activates the antinociceptive system. OMT gives good results in functional disorders such as urinary incontinence in women, irritable bowel syndrome, and postoperative ileus. OMT improves the lymph flow and the lymphatic drainage, which is extremely difficult to obtain by other methods. Osteopathic treatment is safe. It provides an individual approach to patients, allows reducing the drug load. It can be successfully combined with other treatment methods. OMT complements the toolkit of clinical medicine and can take its rightful place in the system of provision of medical care to the population.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.068
GPT teacher head0.400
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 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

Citations23
Published2018
Admission routes1
Has abstractyes

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