STATISTIC

Objectives: The aim of the study was to evaluate the diagnostic efficacy of colposcopy and to determine the
strength of correlation between colposcopic impression using the Reid Colposcopic Index (RCI) and histopathology.
Material and methods: This was a prospective cross-sectional study carried out at the colposcopy clinic of
Bakırköy Dr Sadi Konuk Education and Research Hospital, Department of Obstetrics and Gynecology, between
June 2011 and September 2011. A total of 105 women who met the selection criteria were included in the study.
All women underwent colposcopy and the final diagnosis was made using RCI. Colposcopy-guided biopsy was
obtained from the abnormal areas. In cases when colposcopy did not reveal any lesion, a four-quadrant biopsy from
the squamocolumnar junction was taken, which served as the gold standard.
Results: According to the Reid scoring system, there were 60% of benign cases, whereas 27.6%, 5.7%, and 6.7%
of the women were diagnosed with CIN 1, CIN 2, CIN 3, respectively. As far as histologic results were concerned,
62.9% of the subjects were benign, whereas 25.7%, 3.8%, and 7.6% of the patients were diagnosed with CIN 1,
CIN 2, CIN 3, respectively. The correlation between the Reid scoring system and histologic results was statistically
significant (p>0.05).
Conclusions: The correlation between colposcopic lesions graded with RCI and histology was strong, particularly
in women who had HGSIL on a Pap smear. Good correlation between colposcopic imaging using RCI and
histopathology makes it a reproducible technique, easy to implement in colposcopy clinics.

Count data become widely available in many diciplines. The most popular distribution for modeling count data is the
Poisson distribution which assume equidispersion (Variance is equal to the mean). Since observed count data often
exhibit over or under dispersion, Poisson models become less ideal for modeling. To deal with a wide range of
dispersion levels, Quasi Poisson regresion, Negative Binomial regression and lately Conway-Maxwell-Poisson
(COM-Poisson) regression used as an alternative regression models. We compare the COM-Poisson to all other
regression models and illustrate its advantage and usefulness using over-dispersed alga data.

Although evidence is insufficient, due to being an autologous application with low risk, low cost and potential contribution to the improvement, PRP is emerging as a method to be investigated more. In this study, we aimed to assess the effectiveness of intra-articular platelet-rich plasma injection in knee osteoarthritis by comparing with physical therapy. Seventy patients were included in this study. Patients were randomized into 2 groups; platelet rich plasma (n = 35) and physical therapy (n = 35). Staging of the knee osteoarthritis was made according to the Kellgren-Lawrence classification. At the beginning of treatment (first evaluation step), at the end of treatment (second evaluation step) and 3 months after the end of treatment (third evaluation step) range of motion, VAS pain, WOMAC, SF-36 and Beck depression inventory were investigated. There were no difference between the groups according to demographic data. At the end of the treatment and 3 months after the end of the treatment, significant improvement in range of motion has been detected in both groups, pain was reduced significantly in both groups and when WOMAC scores were compared, improvement was observed in both groups. However, in comparison, at the second and third evaluation steps, improvement at the WOMAC scores of platelet rich plasma group was significantly better than the physical therapy group. When we compare with physical therapy, platelet-rich plasma is seem to be a well tolerated application that shows encouraging clinical results in patients with knee osteoarthritis.