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Record W4238470324 · doi:10.18535/jmscr/v7i3.224

Pain Management

2019· article· en· W4238470324 on OpenAlexaboutno aff
P. Hamsarekha

Bibliographic record

VenueJournal of Medical Science And clinical Research · 2019
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTraditional medicine

Abstract

fetched live from OpenAlex

Pain is a major health care problem. Pain is regarded as a symptom of underlying condition. Good pain management involves assessing the pain, followed by control of pain through pharmacological management and resolving underlying cause. Neuropathic pain is intractable pain caused by damage to nervous system. Peripheral neuropathy affects most people with Diabetes. HIV associated sensory peripheralneuropathy is the most prevalent neurological complication associated with HIV. According to Canadian guidelines Tri Cyclic Anti-depressants and Anticonvulsants are used as first line therapy for treating neuropathic pain. Cancer pain remains a clinical problem worldwide. Cancer therapy causes pain in patients receiving chemotherapy. Opioids remain the most effective pharmaceuticals in treatment of cancer pain. The goal of pain therapy for patients receiving chemotherapy is to provide them sufficient relief to tolerate the diagnostic and therapeutic approaches required to treat their Cancer. JMSCR Vol||07||Issue||03||Page 1329-1340||March 2019 4. Based on anatomical location (head, back or neck pain) Receptors involved in pain Pain receptors (nociceptors) Types of pain receptors Free nerve endings which are morphologically similar but functionally specific. They are classified according to their sensitivity into: 1.Polymodal pain receptors: These respond to combination of mechanical, thermal and chemical noxious stimuli. 2.Mechanical pain receptors: These respond to mechanical forces such as cutting, crushing, pricking or even firm pressure on tissues. 3.Thermal pain receptors: These respond to excessive changes in temperature above 45 0 C and below 10 0 C. 4.Chemical pain receptors: These respond to noxious chemical stimuli. Distribution of pain receptors: Pain receptors are found in most tissues of body but varies in their density. They are abundant and widely spread in the skin and some internal tissues such as periosteum of the bone, arterial walls, joint surfaces, and tentorium in the cranial cavity, skeletal muscle, Parietal layer of serous membranes. Many of the deep tissues and viscera are poorly supplied with pain receptors. So, for pain to occur, painful stimulus must be intense and widespread. The deep and visceral pain are poorly localised. On the other hand, brain itself, and also the parenchymal tissues of the liver, kidney and lungs have no pain receptors. They are called "pain insensitive structures". I Acute Pain Acute pain is sudden in onset and is caused by something specific. It is sharp and gripping. It doesn't last longer than six months [2] .Causes of acute pain include: Surgery, Trauma, dental work, burns, cuts, labour and child birth.

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)0.128
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1280.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.176
GPT teacher head0.544
Teacher spread0.367 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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