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Concept of Irq al-nasa (sciatica) and its management in Unani system of medicine

2020· article· en· W3111213362 on OpenAlexaff
Shahid Suhail, S Shakir Jamil, Shama Khan, Shazia Jilani, Shabnam Ansari

Bibliographic record

VenueInternational Journal of Unani and Integrative Medicine · 2020
Typearticle
Languageen
FieldPsychology
TopicFamilies in Therapy and Culture
Canadian institutionsSKiN Health
Fundersnot available
KeywordsSciaticaMedicineSciatic nerveLow back painSurgeryPhysical therapyAnesthesiaAlternative medicinePathology

Abstract

fetched live from OpenAlex

Sciatica is considered a type of neuropathic pain and is one of the commonest variations of low back pain (LBP). It is a subgroup of Low Back Pain, involving nerve root compression, and this condition has a life time prevalence of 4-5%. In Unani system of medicine, sciatica is known as Irq al-Nasa and Rengan. Unani scholars defined Irq al-Nasa (sciatica) in details and throw light about its probable patho-physiology, symptoms management and treatment as described in ancient book. In this review paper, an attempt has been made to explore the understanding of Irq al-Nasa (sciatica) in the light of Unani literature. Various kind of drug, non-drug Ilaj bil-tadbeer (regimenal therapy) practised for the management of Irq al-Nasa (sciatica) are discussed in full length paper. Also, there is brief review of patho-physiology, clinical a presentation and principal of treatment are focused in this paper.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.027
GPT teacher head0.345
Teacher spread0.318 · 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 designQualitative
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
Published2020
Admission routes1
Has abstractyes

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