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Record W4311782937 · doi:10.54434/candj.123

Analgesic Effect of Hydrotherapy: A Narrative Review of Current Evidence

2022· review· en· W4311782937 on OpenAlexvenueno aff
Deenadayalan Boopalan, Venugopal Vijayakumar, Poornima Ravi, Chidambaram Yogapriya, A. Akila, Muthupandi Pandiaraja, Shanmugam Poonguzhali

Bibliographic record

VenueCAND Journal · 2022
Typereview
Languageen
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsnot available
Fundersnot available
KeywordsHydrotherapyBalneotherapyAnalgesicMedicineNarrative reviewPhysical therapyMEDLINENaturopathyMassageModalitiesPhysical medicine and rehabilitationAlternative medicineIntensive care medicineAnesthesia

Abstract

fetched live from OpenAlex

Pain is a primitive human instinct that alerts the body’s defense mechanism to prevent damage. Hydrotherapy is the most common modality of treatment used for pain management in naturopathy. This review aims to scientifically evaluate the analgesic effects of hydrotherapy used for pain management. A thorough literature search from inception (1 January 1946) until 16 March 2022 was performed with electronic databases such as Scopus, Embase, PubMed/MEDLINE using the keywords “Hydrotherapy” OR “Balneotherapy” AND “Pain” OR “Analgesic effect.” Seven articles were identified in total. The available evidence suggests hydrotherapy to have significant analgesic effects, attributed to the physical and thermal properties of water.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.293
GPT teacher head0.595
Teacher spread0.302 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2022
Admission routes1
Has abstractyes

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