MétaCan
Menu
Back to cohort
Record W4385157860 · doi:10.51248/.v43i3.404

Effect of trunk muscle endurance training in pain management and function in sub-acute low back pain – A quasi experimental study

2023· article· en· W4385157860 on OpenAlexaboutno aff
K. Ramana, A. Kumaresan, Prathap Suganthirababu, Surya Vishnuram, S. Deepa, Jagatheesan Alagesan

Bibliographic record

VenueBiomedicine · 2023
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBack musclesPhysical therapyTrunkLow back painEndurance trainingPhysical medicine and rehabilitationSignificant differenceBack painExtensor muscleInternal medicine

Abstract

fetched live from OpenAlex

Introduction and Aim: Low back muscle endurance is becoming a major issue because of low back ache. Though many treatment protocols have been suggested and proved effective, endurance exercises have been under less researched area over its effectiveness in comparison to other treatment protocols. The purpose of this study is to determine the effect of trunk extensor muscle endurance training with conventional spinal exercise for trunk extensor muscle in subjects with LBP. Materials and Methods: This is a quasi-experimental study involving 56 patients in the age group of 25-35 years who were allocated in the experimental group (endurance exercises) and control group (conventional spinal exercise) for 3 times per week, for 6 weeks for a duration of 30-45 minutes. Outcome measures used for the study were McGill Pain Questionnaire, RMDQ, 60 sec. spinal extension endurance tests. Results: There was no significant difference found within group analysis in all outcome measures. In between, the group analysis experimental group has shown statistically significant difference in all outcome measures at post-test with the p-value of 0.000. Conclusion: Endurance training has proved to be a much more effective method and provides faster recovery than conventional spinal extension exercise in treatment of patients with subacute low back pain.

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 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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.292
Teacher spread0.279 · 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 teacher head, 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueBiomedicineSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207