Search Results

You are looking at 1 - 2 of 2 items for

  • Author: Zeeshan Ahmad x
Clear All Modify Search
Open access

Saima Sattar, Mobasher Ahmad, Hamid Saeed, Zikria Saleem, Zeeshan Danish and Muhammad Akhlaq

Abstract

Despite growing prevalence of ovarian cancer (OC) in Pakistan, no literature evidence exists regarding its clinic-pathological characteristics, survival and compliance of patients with recurrent ovarian cancer on various chemo-protocols. An observational study was conducted by enrolling 251 recurrent OC patients on 7 different chemo-protocols, from a specialized cancer care hospital, Lahore, Pakistan, using convenient judgmental sampling. The study was conducted for a period of 6 months. Most of the patients were between 18 and 70 years of age, with IIIC FIGO stage and papillary serous histological grade. As per RECIST, improved partial response (PR) (63.3 %) and complete response (CR) (52.1 %) was observed in the CP (carboplatin + paclitaxel) arm, substantiated by improved median progression free survival (PFS) and overall survival (OS) in CP and CD (carboplatin + docetaxel) arms, respectively, yet with no significant differences in survival curves, PFS (p = 0.12) and OS (p = 0.22). Interestingly, the highest and the lowest patient non-compliance were observed in CG (carboplatin + gemcitabine) (81.6 %) and paclitaxel (4.5 %) arms, resp. As per the hazard model for survival, topotecan showed significant association with the therapy related events/deaths compared to other protocols. These data suggest that CP regimen exhibited improved clinical efficacy and decreased toxicity related non-compliance in recurrent ovarian cancer patients of Lahore.

Open access

Amjad Hussain, Muhammad Ali Syed, Nasir Abbas, Sana Hanif, Muhammad Sohail Arshad, Nadeem Irfan Bukhari, Khalid Hussain, Muhammad Akhlaq and Zeeshan Ahmad

Abstract

A novel mucoadhesive buccal tablet containing flurbiprofen (FLB) and lidocaine HCl (LID) was prepared to relieve dental pain. Tablet formulations (F1-F9) were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (HPMC) and sodium alginate (SA). The formulations were evaluated for their physicochemical properties, mucoadhesive strength and mucoadhesion time, swellability index and in vitro release of active agents. Release of both drugs depended on the relative ratio of HPMC:SA. However, mucoadhesive strength and mucoadhesion time were better in formulations, containing higher proportions of HPMC compared to SA. An artificial neural network (ANN) approach was applied to optimise formulations based on known effective parameters (i.e., mucoadhesive strength, mucoadhesion time and drug release), which proved valuable. This study indicates that an effective buccal tablet formulation of flurbiprofen and lidocaine can be prepared via an optimized ANN approach.