Refractive surgical approaches to keratoconus: A systematic review and network meta-analysis.

Advancements in diagnostic methods and surgical techniques for keratoconus (KC) have increased non-invasive treatment options. Successful surgical planning for KC involves a combination of clinical science, empirical evidence, and surgical expertise. Assessment of disease progression is crucial, and halting the progression should be the focus if it is progressive. While surgeons used to rely on experience alone to decide the surgical method, comparing the network of primary factors, such as visual acuity, across studies can help them choose the most appropriate treatments for each patient and achieve optimal outcomes. Meticulous tabulation methods facilitate interpretation, highlighting the importance of selecting the correct surgical and rehabilitation approach based on each patient's condition and stage of the disease. We detail the outcomes of a comprehensive network meta-analysis comparing the effectiveness of various combined therapeutic refractive treatments for KC at identical stages of the disease, spanning 4 distinct follow-up intervals. Additionally, the comprehensive analysis suggests that for corneas with optimal best corrected visual acuity (BCVA) preoperatively (classified as regular), combining phakic intraocular lenses with intracorneal ring segments (ICRS) and corneal cross-linking (CXL) could offer the best therapeutic approach provided the disease stage does not exceed stage 3. For irregular corneas, although initial follow-ups show a significant difference in BCVA with surface ablation, longer-term follow-ups recommend combining surface ablation with ICRS and CXL, especially at higher stages.

Survival of gastric cancer patients in Iran: a systematic review and meta-analysis.

Aim: This study aimed to estimate the survival rates among Iranian gastric cancer patients and to evaluate if the survival has improved during the last three decades. Background: Gastric cancer is one of the most common cancers in Iran with high mortality. Methods: A systematic review and meta-analysis of all published studies addressing gastric cancer survival in Iran was performed. International databases of Scopus, Web of Science, PubMed, and Iranian databases were included in the study. The study included databases from their inception till February 2022. Due to the inherent heterogeneity, we used a random effect model to pool the survivals in three categories of one, three, and five-year survivals. Results: Thirty-three studies with total cases of 17,207 were included in the study. The overall (pooled) one, three, and five-year survivals were estimated as 58.9% (95% CI: 0.52, 0.66), 29.9% (95% CI: 0.25, 0.35), and 18.2% (95% CI: 0.15, 0.23), respectively. Results of subgroup analysis for the calendar years of study showed that the one, three, and five-year survival rates increased during the last three decades but the results were not statistically significant. There was the disparity in survival based on geographic distribution. Conclusion: The results of our study which has pooled many studies for a long period of time clearly indicate that the survival rates of gastric cancer patients have improved. As the improvement of survival may be due to many factors, more studies is needed to understand the dynamic behind this improvement.

Description of the inflammatory bowel disease natural history in Tehran province, Iran: Mixed panel approaches.

AIM: Description of the inflammatory bowel disease natural history in Tehran province. BACKGROUND: Inflammatory bowel disease (IBD) is a non-homogeneous disorder with an unpredictable natural history that impairs a patient's quality of life over the course of their life. As a result, providing evidence for efficient patient management is critical. METHODS: In this case series study, 198 IBD patients who were visited in our clinic at least three times routinely from Oct 2015 to May 2020 were included. Then, two panel-based approaches, the Multi-State Model (MSM) and random-effect ordered logistic, were used to deduce the clinical course of IBD, which included remission, mild, moderate to severe, and surgical states. RESULTS: For ulcerative colitis (UC), women had a slightly poorer condition for remission but better for moderate to severe and a faster transition from moderate to severe to mild (HR=1.490, 95% CI: 1.02-2.16) compared to men. For Crohn's disease (CD), they had a better condition for remission but a slightly poorer condition for the severe state and higher transition from mild to moderate to severe (HR=1.221, 95% CI: 0.471-3.22) than men. Oral 5-ASA had better efficacy in people with remission and/or mild states but not for those with moderate to severe states, especially in CD (mild to moderate to serve, HR=1.526, 95% CI: 0.59-3.89). Immunosuppressive drugs were better for patients with lower disease severity, especially with UC (mild to remission, HR=1.258, 95% CI: 0.75-2.09). CONCLUSION: Panel approaches have the potential efficacy to tackle the unpredictable clinical course of IBD (UC/CD). Hence, we highly recommend that our findings be included into the Iranian routine clinical environment of IBD and/or that related studies be conducted in Iran and other regions to gain a better understanding of the natural history of IBD.

Seizure Prediction Model in Acute Tramadol Poisoning; a Derivation and Validation study.

INTRODUCTION: Seizure is a common complication of tramadol poisoning and predicting it will help clinicians in preventing seizure and better management of patients. This study aimed to develop and validate a prediction model to assess the risk of seizure in acute tramadol poisoning. METHODS: This retrospective observational study was conducted on 909 patients with acute tramadol poisoning in Baharloo Hospital, Tehran, Iran, (2015-2019). Several available demographic, clinical, and para-clinical characteristics were considered as potential predictors of seizure and extracted from clinical records. The data were split into derivation and validation sets (70/30 split) via random sampling. Derivation set was used to develop a multivariable logistic regression model. The model was tested on the validation set and its performance was assessed with receiver operating characteristic (ROC) curve. RESULTS: The mean (standard deviation (SD)) of patients' age was 23.75 (7.47) years and 683 (75.1%) of them were male. Seizures occurred in 541 (60%) patients.  Univariate analysis indicated that sex, pulse rate (PR), arterial blood Carbone dioxide pressure (PCO2), Glasgow Coma Scale (GCS), blood bicarbonate level, pH, and serum sodium level could predict the chance of seizure in acute tramadol poisoning. The final model in derivation set consisted of sex, PR, GCS, pH, and blood bicarbonate level. The model showed good accuracy on the validation set with an area under the ROC curve of 0.77 (95% CI: 0.67-0.87). CONCLUSION: Representation of this model as a decision tree could help clinicians to identify high-risk patients with tramadol poisoning-induced seizure and in decision-making at triage of emergency departments in hospitals.

Estimating transition probability of different states of type 2 diabetes and its associated factors using Markov model.

AIMS: Type 2 diabetes is a chronic metabolic disorder and one of the most common non-contagious diseases which is on the rise all over the world. The present study aims to assess the trend of change in fasting blood sugar (FBS) and factors associated with the progression and regression of type 2 diabetes. Moreover, this study estimates transition intensities and transition probabilities among various states using the multi-state Markov model. METHODS: In this study Multi-Ethnic Study of Atherosclerosis (MESA) dataset, from a longitudinal study, was used. The study, at the beginning, included 6814 individuals who were followed during the five phases of the study. FBS, serving as the criterion to assess the progression of diabetes, was classified into four states including (a) normal (FBS<100mg/dl), (b) impaired fasting glucose I (IFG I) (100mg/dl126mg/dl). A continuous-time Markov process was used to describe the evaluation of disease changes over the four states. The model estimated the mean sojourn time for each state. RESULTS: Based on the results obtained from fitting the Markov model, the transition probability for a normal individual to remain in the same status over a 10-year period was 0.63, while the probability for a person in the diabetes state was 0.40. The mean sojourn time for the normal and diabetic individuals aged 45-84 years was 6.26 and 5.20 respectively. The covariates of age, race, body mass index (BMI), physical activity, waist-to-hip ratio (WHR) and blood pressure, significantly affected the progression and regression of diabetes. CONCLUSION: An increase in physical activity could be the most important factor in the regression of diabetes, while an increase in WHR and BMI could be the most significant factors in progression of the disease.