Plating versus Ilizarov Technique for Complex Tibial Plateau Fractures: A Comparative Study on Functional Outcome and Patient Satisfaction

ObjectiveTo compare clinical and functional outcomes and complications of open reduction internal fixation (ORIF) by plating and Ilizarov technique in complex tibial plateau fractures. MethodsThis study is a randomized clinical trial accompanying 56 patients having Schatzker type V and VI tibial plateau fractures. We divided patients into two groups for management. Group I; open reduction internal fixation versus Ilizarov technique (Group II). We conducted at the Orthopedics Department, Jinnah post-graduate medical centre, Karachi, from April-2018 to Oct2020. The endpoint assessed patients’ satisfaction and clinical and functional outcomes up to an 18-month follow-up. ResultsThe aetiology of tibial fracture was mainly road traffic accidents (RTA); 17 (70.9%) in ORIF versus 23 (71.8%) in the Ilizarov group. According to clinical outcomes, excellent extension lag was achieved in 100% of patients in both groups. Most patients had excellent knee flexion, thigh atrophy and instability outcomes (54.1% vs 59.37%, 87.5% vs 81.2% and 83.3% vs 87.5%). The functional outcome assessment was done and recorded for 18 months of follow-up. There was no significant difference in normal walking, stair climbing, squatting, jumping and duck walking between the groups. The overall rate of complications was similar; 11 (45.8%) in ORIF versus 17 (53.12%) in the Illizarov group (p-value 0.78). ConclusionOur study concludes that there is an excellent clinical and functional outcome found in both procedures.   DOI: https: //doi. Org/10.59564/amrj/01.01/008

Developing and Testing a Model of Corporate Financia Distress Prediction Specifically for Manufacturing Secto of Pakistan

For many years, premonition of financial distress and corporate bankruptcy is under discussion. Many researchers as well as professionals and academicians contend that these are the most critical factor of corporate decision making. Researchers and specialist are involved in developing models and techniques to predict financial distress and business failures. Forewarnings and prediction of financial conditions of the companies at an appropriate point of time allows the management, investors and other counterparts to take appropriate remedial measures and develop efficient processes and policies. Many researchers and experts believe that financial statement analysis and financial accounting ratios have the ability to predict and forecast the financial distress and financial health of a particular company. The purpose of this research work is to develop, test and present the most appropriate financial distress prediction model for the manufacturing sector of Pakistan. Matched pair research design is used in this research work. The distressed and non-distressed companies have been matched by industry, year and asset size. Out of 517 manufacturing Companies, 134 Companies financial statements were finally matched selected and analyzed for five years prior to distress and checked for the mean differences and similarity for distressed and non-distressed groups consisting of sixty seven companies in each group. Afterwards, based on the previous literature recommendations, three financial distress prediction models were developed. Multiple discriminant analysis, Logit and Probit analysis techniques were engaged for the development of new models. All the techniques and methods used accounting and financial ratios calculated from the income statements and balance sheets of the selected distressed and non-distressed companies. Utilizing the financial statement data relating to manufacturing sector companies for the years from 1999 to 2013, twenty five widely used financial and accounting ratios were calculated and analyzed. Stepwise multiple discriminant analysis was used for the identification of the best performed financial ratios for the development of the Z-ScorePakistan model. Afterwards, Logit and Probit models were developed with financial and accounting ratios for the classification of the sampled companies correctly. The results of this research study indicate that models for the distressed and non-distressed Companies show dissimilarity with the results of the non-distressed companies. 13 out of total 25 ratios were considered as the most relevant for the identification of financial distress. The tested models clearly discriminate between financially distressed and non-distressed companies. Financial distress can be predicted for the published financial information in Pakistan. This research study also concludes that Logit and Probit models are the most appropriate for prediction of financial distress specifically for manufacturing sector companies of Pakistan.