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Record W2332202244 · doi:10.4103/0973-1075.179599

Defining the role of physiotherapy in palliative care in multiple sclerosis

2016· article· en· W2332202244 on OpenAlexaff
Darshpreet Kaur, Gunjan Kumar, Nidhi Billore, Ajay Singh

Bibliographic record

VenueIndian Journal of Palliative Care · 2016
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsMedicinePsychosocialPalliative careQuality of life (healthcare)NursingPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

With increasing prevalence of multiple sclerosis worldwide, India too has transitioned from low to medium prevalence region. This increases the overall burden of a number of people suffering from a chronic progressive disorder. Such scenario underlines the need for an early comprehensive and holistic patient management plan, aiming to provide a better quality of life. The presented case is one such example of a patient-centered, and interdisciplinary team approach for better management of a patient suffering from an incurable, progressive disorder. As physiotherapists tend to spend a considerable amount of time with their patients on a regular basis, it becomes imperative to view all the patient related problems from a wider angle and endeavor to address each of them individually/collaboratively. In a palliative care setting, physiotherapy can no longer be considered as only physical symptom management approach but a patient care approach considering their entire physical, emotional, psychosocial, and spiritual needs. This novel case report shall serve as a guiding strategy for physiotherapists to work in the domain of palliative care.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.055
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.053
GPT teacher head0.346
Teacher spread0.292 · 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

Citations7
Published2016
Admission routes1
Has abstractyes

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