Literature DB >> 32554837

Efficacy of Qurs-e-Gulnar in Ziabetus (type 2 Diabetes Mellitus): a single blind randomized controlled trial.

Khalid Eqbal1, Md Anzar Alam2, Mohd Aleemuddin Quamri2, Ghulamuddin Sofi3, Muzafar Din Ahmad Bhat2.   

Abstract

Background and objectives Diabetes is a serious threat to global health that respects neither socioeconomic status nor national boundaries. Globally, diabetes is among the top 10 causes of death. Unani system argued the effectiveness of several anti-hyperglycemic drugs, and all such drugs looked-for to be validated on scientifically. Hence a clinical trial was contemplated to evaluate the clinical efficacy of Qurs-e-Gulnar in the management of Diabetes Mellitus. Methods This study was conducted as single blind randomized control, on 40 patients of type 2 diabetes with the test (n=20) and control (n=20) groups for 45 days. Test group received Qurs-e-Gulnar at the dose of three Qurs twice a day, and control group received two capsules Diabeat® twice a day before meal. Subjective (at 0, 15th, 30th, and 45th) and objective parameters were assessed as pre-post treatment respectively. Results After treatment with test compound significant reduction was observed in all the subjective parameters viz. polyuria, polydipsia, polyphagia and tiredness in comparison of control group. The objective parameters FBS and PPBS was found to be significantly reduced (p<0.001) in both the groups where as HbA1c was found unchanged in test group but control drug showed highly significant reduction in HbA1c (p<0.001).The results were assessed statistically using two tailed Student's t-test, and Fischer exact test. Conclusion On the basis of above observation it is concluded that the test compound Qurs-e-Gulnar has significant anti-diabetic effect which is evidentially observed both in subjective and objective parameters in test group in comparison of control group (CTRI/2017/07/009060).

Entities:  

Keywords:  zzm321990qurs-e-gulnarzzm321990; zzm321990ziabetuszzm321990; capsule diabeat®zzm321990; type 2 diabetes mellitus

Year:  2020        PMID: 32554837     DOI: 10.1515/jcim-2020-0072

Source DB:  PubMed          Journal:  J Complement Integr Med        ISSN: 1553-3840


  1 in total

1.  Correlation between TCM Syndromes and Type 2 Diabetic Comorbidities Based on Fully Connected Neural Network Prediction Model.

Authors:  Yifei Wang; Runshun Zhang; Min Pi; Julia Xu; Moyan Qiu; Tiancai Wen
Journal:  Evid Based Complement Alternat Med       Date:  2021-11-20       Impact factor: 2.629

  1 in total

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