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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 OpenAlex
Yu. P. Potekhina, Е. С. Трегубова, Д. Е. Мохов

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.068
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