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Record W2474435869

Effectiveness of Plantar Fasciitis Taping and Calcaneal Taping in Plantar Heel Pain

2015· article· en· W2474435869 on OpenAlexaboutno aff
Bushra Khan, Muhammad Salman Bashir, Rabiya Noor

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPlantar fasciitisHeelMedicinePlantar flexionPhysical medicine and rehabilitationPhysical therapyAnatomyAnkle
DOInot available

Abstract

fetched live from OpenAlex

Background: Heel pain is one of the most common foot problems especially among older individuals. Mechanical factors play very important role in heel pain. Pain under the heel on weight bearing can cause disability towards movement. Objective: The objective of the study was to compare the effectiveness of planter facilities taping and calcaneal taping along with stretching and therapeutic ultrasound on heel pain. Methodology: It was a Quasi experimental study in which data was collected from Canada Orthopedic and Rehabilitation Center. Non Probability convenience sampling technique was used for sample collection and patient were assigned in two groups. Data was collected by using prescribed validated questionnaire, which include Standardized Visual Analogue Scale (VAS) and Foot Function Index Scale (FFI). Results: The Comparison of percentage of pain decrease post-treatment after evaluation on VAS and FFI in both groups. The decrease of pain in both indicators was significantly higher in group-A (Planter fasciitis tapping group) as compared to group-B (Calcaneal taping group). The decrease of pain in VAS significant at P=0.019 and in FFI at P =0.000 level showing that plantar fasciitis taping is more effective than calcaneal taping. Conclusion: Plantar fasciitis taping is more effective than Calcaneal taping in planter heel pain. Key Words: Heel Pain, Activities of Daily Living, Calcaneal Taping

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.231
GPT teacher head0.539
Teacher spread0.308 · 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.

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

Citations1
Published2015
Admission routes1
Has abstractyes

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