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Record W4389164353 · doi:10.17816/rjpbr375312

Resource-saving peloidotherapy techniques in the rehabilitation of patients after microdiscectomy

2023· article· en· W4389164353 on OpenAlexaboutno aff
А Г Куликов, Tatiana Yu. Gaidukova, N V Lvova

Bibliographic record

VenueRussian Journal of Physiotherapy Balneology and Rehabilitation · 2023
Typearticle
Languageen
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVisual analogue scaleRehabilitationOswestry Disability IndexMassagePhysical therapyMcGill Pain QuestionnaireDiscectomySurgeryLow back painLumbar

Abstract

fetched live from OpenAlex

BACKGROUND: Intervertebral disc herniations are a common neurosurgical problem. However, there is practically no information about the effectiveness of using non-thermal gentle methods of peloid therapy using peat mud in patients after spinal surgery for disc herniations, about the indications for their use depending on the existing clinical and functional characteristics. AIM: to develop and scientifically substantiate the use of resource-saving non-thermal peloidotherapy techniques in the rehabilitation of patients after spinal surgery for herniated discs. MATERIALS AND METHODS: 74 patients aged 20 to 65 years were examined 4–9 weeks after microdiscectomy. Patients underwent clinical and functional examination before and after the rehabilitation course, pain intensity was determined using a visual analog scale (VAS). Functional activity was assessed using the "Get up and go" test (3 and 6 meters). Infrared thermography of the back and lower extremities was performed. The study used the Oswestry questionnaire, as well as the HADS Anxiety and Depression Scale. By simple randomization, all patients were divided into 2 main groups (25 people each) and a control group (24 people). The control group received basic treatment ― therapeutic gymnastics and massage of the lower limb on the affected side. In the I main group, 10 procedures of thin-layer mud applications were additionally prescribed. In the II main group, 10 procedures of fluctuophoresis of peat mud solution were prescribed for basic treatment. The rehabilitation course lasted 14–15 days. RESULTS: Repeated examination after the course of treatment showed a significant decrease in the VAS index in both main groups, more significant in group II, whereas in the control group the changes were not significant. In all the studied groups, there was a reduction in the execution time of the "Get up and Go" test, but it was most significant in both main groups. Positive shifts on the Oswestry scale were also observed in all groups, including the control group, but some advantage was determined in the main groups receiving peloid therapy. Analysis of repeated results of remote infrared thermography revealed a decrease in local hyperthermia in the area of surgical intervention in persons receiving non-thermal peloid therapy techniques, the most significant in the II main group. Indicators of anxiety on the HADS scale decreased by the end of rehabilitation in all the studied groups, and subclinical manifestations of depression ― only in the I and II main groups. CONCLUSION: The inclusion of non-thermal resource-saving peloidotherapy techniques in the rehabilitation complex of patients after microdiscectomy makes it possible to more effectively relieve pain syndrome, eliminate microhemodynamic disorders and increase the motor activity of patients, which contributes to the normalization of their psychoemotional state and the quality of their life. These methods are not load-bearing, have a minimum number of contraindications to the appointment, does not require significant material costs and can be applied in various medical organizations.

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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.010
GPT teacher head0.364
Teacher spread0.355 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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