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Record W4382679725 · doi:10.53555/sfs.v10i1.1255

A Critical Review On Mechanism Of Herbal Drugs Cissus Quadrangularis, Mimosa Pudia And Boswellia Serrata In Bone Healing For Osteoporosis (Asthikshaya) And Bone Fracture And Pain

2023· review· en· W4382679725 on OpenAlexvenueno aff
D. Verma, Dr Akashdeep A. Meshram, Dr Geetanjali

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typereview
Languageen
FieldMedicine
TopicPharmacological Effects of Medicinal Plants
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoporosisMedicineBone densityPeak bone massPhysical therapyPediatricsSurgeryInternal medicine

Abstract

fetched live from OpenAlex

- Osteoporosis, a silent epidemic has become a major health hazard in recent years. Osteoporosis which increases bonefragility and thereby the risk of fractures is associated with high mortality, morbidity and high medical expensesthroughout the world. “It is a progressive systemic skeletal disorder characterized by low bone mass and microarchitectural deterioration of bone tissue, with a consequent increase in bone fragility and susceptibility to fracture.”(1)Osteoporosis causes bones to become weak and brittle — so brittle that a fall or even mild stresses such as bending overor coughing can cause a fracture. Osteoporosis-related fractures most commonly occur in the hip, wrist or spine.WorldHealth Organization (WHO) defines osteoporosis as bone density (BD) that is 2.5 Standard Deviation (SD ) or morebelow the young adult mean value (T score < - 2.5). Bone density decreases with age as the fracture risk rises rapidly.Every 1 SD decrease in BMD increases fracture risk two to three fold.(2) Osteoporosis is second only to cardiovasculardisease as a leading health care problem, according to the World Health Organization.(3) It is now considered as majorhealth care problem in India with an estimated 50 % of healthy women and 36% men over 50 years of age having lowbone mass. Occurrence of osteoporosis is 10 years earlier in Indian people than in the West.(4) It currently affectsapproximately one in three women and one in five men over age 50. Because of related morbidity and disability,diminished quality of life and mortality, osteoporosis and fractures associated with it are major public health concern.India seems to have the highest prevalence of osteoporosis and osteopenia.- The most important supportive framework of the body among these is Asthi (Bone tissue). The branch of surgery thatdeals with deformities of the bones is known as Orthopedics. Asthikshaya (Osteoporosis) is degenerative changes wheredepletion of Asthidhatu is seen. Defining feature of Osteoporosis (Asthikshaya) is reduced bone density which causesmicro architectural deterioration of bone tissue and leads to an increased risk of fracture. By Ashrayashrayibhaava- Vatadosha and Asthi Dhatu is inversely proportional to each other. Vata vruddhi causes Asthikshaya. Trauma managementhas been in practice since Vedic periods. Also, the use of plants for medical purposes for their therapeutic properties hasbeen in vogue since pre-historic times. In India and worldwide, use of herbal ingredients has a long tradition. Theindigenous medicinal systems such as Ayurveda, Siddha and Unani are followed even today as a part of curing manyailments without any side effect (Smet et al., 1992a).The Ayurvedic medicinal plants have been a source of so manypotential drug candidates for several disease conditions and most importantly for chronic disorders. In Ayurveda manyof drugs and formulations were described for management of osteoporosis, fracture and pain; among them for thefracture the Asthishrunkhala is one of the drugs widely used as single or in various compound formulations. Also thereare many drugs which are mentioned as Asthiposhak. But we selected Asthishrinkhala, lajjalu and shallaki as it isAsthiposhak, Balya and Analgesics.- The purpose of this article is to concentrate in herbal medicines for bone healing in osteoporosis and fractures.

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)0.025
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.234
GPT teacher head0.406
Teacher spread0.172 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations2
Published2023
Admission routes1
Has abstractyes

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