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“THE EFFECTS OF ANTERIOR VERSUS INFERIOR GLIDE IN IMPROVING FUNCTIONAL ACTIVITY OF THE SHOULDER IN PATIENTS WITH ADHESIVE CAPSULITIS”

2020· article· en· W3020655139 on OpenAlexaboutno aff
Sailaja Nandennagari, Reshma Annam, Abraham Ratna Joseph Nayakanti

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsCapsulitisMedicineRange of motionVisual analogue scalePhysical therapySquatPhysical medicine and rehabilitationShoulder jointSurgery

Abstract

fetched live from OpenAlex

Adhesive capsulitis is a self‐limiting condition of elderly people with marked deterioration of activities of daily living (ADL) leading to restriction of psychosocial movement (functional limitation). This article determines the improvement of signs of adhesive capsulitis as per force of direction of application (anterior glide versus posterior glide) on glenohumeral joint that would result in the considerable improvement in shoulder external rotation range of motion, abduction and the functional activity in individuals with adhesive capsulitis. The outcome of this study could potentially guide clinical decision making regarding the most effective direction of mobilization to facilitate functional activity of the patients. During this study it is evident that anterior glide overtakes the inferior glide with considerable mean improvement in the patient’s ROM of shoulder joint being marked decrease in pain of both the joints. From the study in a nutshell, it is evident that all measurable parameters such as Range of motion (ROM) through goniometer, pain through visual analog scale (VAS), sensory intensity, emotional impact and the cognitive evaluation of pain through McGill Pain Questionnaire (implies to multidimensional assessment of pain) were towards the positive side. Thirty patients were randomly selected from the community excluding diabetic patients to avoid the bias, effect of diabetic medication over the joint mobilization. All subjects were evaluated with Goniometer, McGill questionnaire and VAS scale before the mobilization techniques implemented. Divided into two groups and were treated with anterior and inferior mobilization techniques characterized as low‐rate, low‐amplitude techniques with sustained loading of restricting tissue at the end ranges of abduction and/or external rotation with a uniform, gliding movement. Each glide (“after the slack of the joint has been taken up”) was given for 1 minute for a total of 15 minutes of sustained stretch, without giving any oscillatory glides after each set and the patient rested in a neutral position for approximately 10 seconds. On an average of 30 degrees of mean ROM increment was observed whereas for pain scale mean reduction in the values from an average of 8 to 3 were seen. Mean and standard deviation for ROM before the joint mobilization (pre‐treatment) as well as the values after the joint mobilization (post‐treatment) were calculated for both anterior and inferior mobilization techniques and progressed to t‐test for each mobilization technique. The same is repeated for pain scale as well. To conclude, there is a strong evidence of improvement in the joint disability as a result of anterior mobilization technique over inferior. Support or Funding Information American Association for Anatomists S.NO GROUP A (ROM) MEAN STANDARD DEVIATION t‐TEST 1 Pre‐treatment 22.5 0.973 5.37 2 Post‐treatment 43.4 4.939 S.NO GROUP A (VAS) MEAN STANDARD DEVIATION t‐TEST 1 Pre‐treatment 7.8 1.08 3.65 2 Post‐treatment 3.85 0.99

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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