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Record W2112713263 · doi:10.6000/1927-5129.2014.10.13

Role of Tissue Specific Plantar Fascia Stretching Exercises Versus Myofascial Released Technique in Chronic Plantar Fasciitis

2014· article· en· W2112713263 on OpenAlexvenueno aff
Muhammad Sarfraz Khan, Syed Shahzad Ali, Rabail Rani Soomro

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2014
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPlantar fasciitisPlantar fasciaMedicineVisual analogue scaleFoot (prosody)Physical therapyFasciitisMyofascial releaseIntensity (physics)FasciaRandomized controlled trialPhysical medicine and rehabilitationSurgeryPathologyAnatomyHeel

Abstract

fetched live from OpenAlex

Objective: The effectiveness of tissue specific stretching exercises and myofascial released technique on intensity of pain and Foot function was compared in chronic plantar fasciitis patients. Study Design: Randomized controlled trial study Place and Duration of Study: This study was conducted at Al-Ain Poly clinic Karachi between 2012-13. Materials and Methods: Fifty patients with chronic plantar fasciitis were enrolled through convenience sampling and were randomly assigned into Stretching Exercise and Myofascial Release Technique groups. Intensity of pain and foot function were evaluated by Visual Analouge Scale and foot function index, respectively. Ten sessions were done for both groups. T-tests and ANCOVA test were used for statistical analysis (p<0.05). Results: The score of visual analogue scale (VAS) and foot functioning index (FFI) improved in both groups, though the decrease of intensity of pain was more in stretching exercises Group (p<0.01). Additionally, improvement in foot functioning index did not significantly differ between two groups. Conclusion: The stretching exercises can reduce pain and improve foot functioning in chronic plantar fasciitis.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.266
Teacher spread0.252 · 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 designNon-randomized trial
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
Published2014
Admission routes1
Has abstractyes

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