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Record W4409672979 · doi:10.2196/58838

Evaluation of the Comparative Efficacy of Navak Guggulu Versus Vachaharidradi Gana Vati in the Management of Sthaulya (Overweight) in Children: Protocol for a Randomized Controlled Trial

2025· article· en· W4409672979 on OpenAlexvenueno aff
Kavita Kishor Fadnavis, Renu Rathi, Karuna Sunil Ratnaparkhi, Bharat Rathi, Paresh Rameshrao Deshmukh

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicPhytochemicals and Medicinal Plants
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialMedicinePreprintProtocol (science)OverweightTraditional medicinePhysical therapyFamily medicineAlternative medicineObesitySurgeryInternal medicineWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: Childhood obesity is a lifestyle-oriented disorder, which may lead to many comorbidities such as hypertension, coronary diseases, increased incidence of diabetes, and metabolic syndromes. Lack of diet control and increased screen time specifically after the COVID-19 pandemic among children and adolescents are the major reasons for this rising global concern. Despite various campaigns being carried out to lessen the rising rates of childhood obesity, the objectives have not yet been achieved. Ayurveda offers a multidimensional modality in managing children with overweight. The purpose of this study is to evaluate the combined efficacy of Ayurvedic medicine administration, diet restriction, and Sun Salutation. Navak Guggulu is a herbo-mineral compound already proven for its antiobesity action. Vachaharidradi Gana mentioned in Ayurvedic classics is a group of herbs, which are Kaphamedohara and Karshana. Ayurveda also emphasizes the importance of diet and physical activities for the treatment of obesity. The interventions together may help in promoting a healthy weight, improving metabolism, and reducing fat accumulation. So, in this study, the efficacy of Vachaharidradi Gana Vati will be compared with Navak Guggulu to treat children with overweight in addition to diet restrictions and Sun Salutation. OBJECTIVE: The aim of the study is to evaluate the efficacy of Navak Guggulu versus Vachaharidradi Gana Vati along with diet restriction and Sun Salutation in overweight (Sthaulya) children. METHODS: A double-blind randomized interventional study will be conducted on selected children with overweight in the age group of 10 to 16 years. They will be equally distributed into 2 groups. The control group will be given Navak Guggulu, and the trial group will be given Vachaharidradi Gana Vati for 90 days. Both groups will be advised of diet restrictions and the daily performance of the Sun Salutation. The study duration is 180 days, with assessment at baseline, followed by every 15 days up to 90 days, and at the end point, that is, after 180 days. Appropriate statistical techniques, such as analysis of covariance paired 2-tailed t test, Wilcoxon signed rank test, Mann-Whitney U test, and multivariate regression analysis, will be used to evaluate the efficacy of the interventions. RESULTS: The study got underway in April 2024. Since participants may begin at any time, our goal is for everyone to be finished by May 2025. CONCLUSIONS: This research will be useful to provide new insight into the effectiveness of the Ayurveda pharmacological approach in treating obesity in children. The results will guide evidence-based multimodality in treatments aimed at changing lifestyle behaviors in children with obesity, thus reducing social stigmatization in them. TRIAL REGISTRATION: Clinical Trial Registry of India CTRI/2023/03/051135; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=NzgzNzE=&Enc=&userName=. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/58838.

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)0.016
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.143
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.002
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 head0.280
GPT teacher head0.594
Teacher spread0.314 · 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 designRandomized trial
Domainnot available
GenreProtocol

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
Published2025
Admission routes1
Has abstractyes

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