A fuzzy decision support model for the evaluation and selection of healthcare projects in the framework of competition

Our research aims to support decision-making regarding the financing of healthcare projects by structural funds with policies targeting reduction of the development gap among different regions and countries of the European Union as well as the achievement of economic and social cohesion. A fuzzy decision support model for the evaluation and selection of healthcare projects should rank the project applications for the selected region, accounting for the investor's wishes in the form of a regional coefficient in order to reduce the development gap between regions. On the one hand, our proposed model evaluates project applications based on selected criteria, which may be structured, weakly structured, or unstructured. On the other hand, it also incorporates information on the level of healthcare development in the region. The obtained ranking increases the degree of validity of the decision regarding the selection of projects for financing by investors, considering the level of development of the region where the project will be implemented. At the expense of European Union (EU) structural funds, a village, city, region, or state can receive funds for modernization and development of the healthcare sector and all related processes. To minimize risks, it is necessary to implement adequate support systems for decision-making in the assessment of project applications, as well as regional policy in the region where the project will be implemented. The primary goal of this study was to develop a complex fuzzy decision support model for the evaluation and selection of projects in the field of healthcare with the aim of reducing the development gap between regions. Based on the above description, we formed the following scientific hypothesis for this research: if the project selected for financing can successfully achieve its stated goals and increase the level of development of its region, it should be evaluated positively. This evaluation can be obtained using a complex fuzzy model constructed to account for the region's level of development in terms of the availability and quality of healthcare services in the region where the project will be implemented.

Scientists without borders: lessons from Ukraine

Conflicts and natural disasters affect entire populations of the countries involved and, in addition to the thousands of lives destroyed, have a substantial negative impact on the scientific advances these countries provide. The unprovoked invasion of Ukraine by Russia, the devastating earthquake in Turkey and Syria, and the ongoing conflicts in the Middle East are just a few examples. Millions of people have been killed or displaced, their futures uncertain. These events have resulted in extensive infrastructure collapse, with loss of electricity, transportation, and access to services. Schools, universities, and research centers have been destroyed along with decades' worth of data, samples, and findings. Scholars in disaster areas face short- and long-term problems in terms of what they can accomplish now for obtaining grants and for employment in the long run. In our interconnected world, conflicts and disasters are no longer a local problem but have wide-ranging impacts on the entire world, both now and in the future. Here, we focus on the current and ongoing impact of war on the scientific community within Ukraine and from this draw lessons that can be applied to all affected countries where scientists at risk are facing hardship. We present and classify examples of effective and feasible mechanisms used to support researchers in countries facing hardship and discuss how these can be implemented with help from the international scientific community and what more is desperately needed. Reaching out, providing accessible training opportunities, and developing collaborations should increase inclusion and connectivity, support scientific advancements within affected communities, and expedite postwar and disaster recovery.

The role of extent of resection on the prognosis of low-grade astrocytoma: a systematic review and meta-analysis

Purpose

To investigate the predictor factors of mortality describing the prognosis of primary surgical resection of low-grade astrocytoma.

Materials and methods

A systemic search was conducted from electronic databases (PubMed/Medline, Cochrane Library, and Google Scholar) from inception to November 14, 2021. All statistical analysis was conducted in Review Manager 5.4.1. Studies meeting inclusion criteria were selected. A random-effect model was used when heterogeneity was seen to pool the studies, and the result were reported in the hazards ratio (HR) and corresponding 95% confidence interval.

Result

Five cohort studies were selected for meta-analysis. There was statistically significant effect of total resection on increase mortality after surgery in low-grade astrocytoma patients (HR = 0.70 [0.52, 0.94]; p = 0.02; I2 = Not applicable). On the other hand, there was statistically nonsignificant effect of patient’s age (HR = 1.27 [0.95, 1.68]; p = 0.11; I2 = 83%), tumor size (HR = 1.13 [0.94, 1.35]; p = 0.19; I2 = 73%), and increasing KPS (HR = 0.59 [0.20, 1.77]; p = 0.35; I2 = 86%) on prognosis of low-grade astrocytoma after surgery.

Conclusion

The results of meta-analysis showed significant relationship of extent of resection and mortality, while factors such age, KPS score, and tumor size were nonsignificant to determine mortality in patient diagnosed with low-grade astrocytoma. The gross total resection surgery should be preferred over subtotal resection since the incidence of malignant formation is low in gross total resection.

Do Extent of Resection and Tumor Volume affect the Overall Survival of Anaplastic Astrocytoma? A Retrospective Study from a Single Center

Introduction: Anaplastic astrocytoma (AA) is a rare brain neoplasm that belongs to grade III gliomas according to the World Health Organization (WHO) classification. It represents only 6% of all Central Nervous System (CNS) malignancies, yet; it is associated with low survival rates. We aim to identify the survival rate after tumor resection from 10 years of experience. We also wish to determine the effect of pre and post-operative tumor volumes on the overall survival (OS). Methods: We retrospectively reviewed the records of patients with anaplastic astrocytoma who had surgery between January 2010 and January 2020. Based on Magnetic resonance imaging (MRI) results obtained < 72 hours after surgery, the Extent of Resection (EOR) was calculated by pre-op volume – post-op volume/pre-op volume*100% and classified into five categories. 1)>99% - Gross total resection (GTR) 2) 91-99% as Near-total resection (NTR) 3) 70-90% as Sub-total resection (STR) 4) <70% as Partial resection (PR) and 5) Biopsy. A multivariate proportional hazards regression analysis assessed the independent association of EOR and subsequent OS. Results: 34 patients were finally included in our analysis. The median survival time for all patients was 24.4 months, whereas the histopathological type of AA like IDH mutant was 32 months, and IDH wild type was 16.1 months as OS time. We stratified the observed survival durations for the patients according to the EOR into 5 different classes. We found that the EOR didn't affect the overall median survival. Regression analysis showed no statistically significant association between the pre or post-operative tumor volume and the OS time. Conclusion: Anaplastic astrocytoma is a tumor that carries a poor diagnosis. Gross total resection is essential to increase patients expected survival time. Unfortunately, the extent of tumor resection and tumor volume isn't correlated with the survival time for patients.

Sphenoid wing meningiomas: peritumoral brain edema as a prognostic factor in surgical outcome

Sphenoidal meningiomas constitute 18% of intracranial masses, and still present a difficult surgical challenge. PTBE has been associated with several complications and future recurrence. This study aims to evaluate the outcome of the operatively treated sphenoid wing meningiomas in relation to PTBE as a prognostic factor in a series of 65 patients. The clinical materials of 65 patients with SWM treated microsurgically between 2007 and 2020 were analyzed retrospectively. Follow-up ranged from 6 to 156 months (median, 86). Clinical outcomes include postoperative major neurological deficit, quality of life using KPS, recurrence, and mortality rates. The mean age of patients was 53.9 years (range 20-74), males 24.6% and females75.4%. An edema index (EI) of 1 (40%) was considered as absent edema, and EI > 1 (60%) indicated present edema. Total resection (Simpson I-II) was achieved in 64.6% and subtotal (Simpson IV) in 13.8%. Postoperative complications included vision impairment in 3 patients, motor weakness 6, third nerve palsy 6, intraoperative bleeding and edema 5, and MCA infarct 2, recurrence in 17% and 7.7% died. In univariate analysis, we found that the PTBE is one of the serious risk factors in the immediate surgical outcomes and complication, though more data is needed to support this claim, while having a negative effect on postoperative KPS at short-term follow up (χ² = 6.44, p = 0.011). PTBE was associated with decline in KPS and quality of life in the early postoperative period (three months) while showing no significant effect at long-term outcomes.

The Impact of Extent of Resection on the Prognosis of Glioblastoma Multiforme: A Systematic Review and Meta-analysis

Purpose: To investigate the predictor factors of mortality describing the prognosis of primary surgical resection of Glioblastoma Multiforme (GBM). Materials and Methods: A systemic search was conducted from electronic databases (PubMed/Medline, Cochrane Library, and Google Scholar) from inception to 12th September 2021.  All statistical analysis was conducted in Review Manager 5.4.1. Studies meeting inclusion criteria were selected. A random-effect model was used when heterogeneity was seen to pool the studies, and the result were reported in the Hazards Ratio (HR) and corresponding 95% Confidence interval (CI). Result: Twenty-three cohort studies were selected for meta-analysis. There was statistically significant effect of extent of resection on prognosis of surgery in GBM patients (HR= 0.90 [0.86, 0.95]; p< 0.0001; I2= 96%), male gender (HR= 1.19 [1.06, 1.34]; p= 0.002; I2= 0%) and decrease Karnofsky Performance Status (HR= 0.97 [0.95, 0.99]; p= 0.003; I2= 90%). Age and tumor volume was also analyzed in the study. Conclusion: The results of our meta-analysis suggested that age, gender, pre-operative KPS score and extent of resection have significant effects on the post-surgical mortality rate, therefore, these factors can be used significant predictor of mortality in GBM patients.

GROSS TOTAL RESECTION IN A RARE CASE OF OPTIC NERVE ASTROCYTOMA: A CASE REPORT

The authors present a 3-year-old female with increasing proptosis and absent vision in the right eye. Chemotherapy had done for 3months. But her ailments lingered. The right eye exhibited severe proptosis and poor vision, whereas the left eye was normal with 20/20 vision. Preoperative MRI revealed a dumbbell-shaped tumor in the intra-orbital and intra-cranial section of the right optic nerve. A lateral supra-orbital approach was used to dissect the dumbbell-shaped tumor and the right optic nerve. No remnant of the tumor was discovered during a follow-up examination. The case study demonstrates how to identify and treat ONA surgically. However, we need further research on optic nerve PA to gain a better understanding of their behavior. While gross total resection (GTR) is usually curative, tumors in deep locations may be unresectable and require alternative therapeutic procedures. Additionally, the case study emphasizes the importance of additional research on early detection and prevention.

Genome diversity in Ukraine

Background

The main goal of this collaborative effort is to provide genome-wide data for the previously underrepresented population in Eastern Europe, and to provide cross-validation of the data from genome sequences and genotypes of the same individuals acquired by different technologies. We collected 97 genome-grade DNA samples from consented individuals representing major regions of Ukraine that were consented for public data release. BGISEQ-500 sequence data and genotypes by an Illumina GWAS chip were cross-validated on multiple samples and additionally referenced to 1 sample that has been resequenced by Illumina NovaSeq6000 S4 at high coverage.

Results

The genome data have been searched for genomic variation represented in this population, and a number of variants have been reported: large structural variants, indels, copy number variations, single-nucletide polymorphisms, and microsatellites. To our knowledge, this study provides the largest to-date survey of genetic variation in Ukraine, creating a public reference resource aiming to provide data for medical research in a large understudied population.

Conclusions

Our results indicate that the genetic diversity of the Ukrainian population is uniquely shaped by evolutionary and demographic forces and cannot be ignored in future genetic and biomedical studies. These data will contribute a wealth of new information bringing forth a wealth of novel, endemic and medically related alleles.

A population study of stroke in West Ukraine: incidence, stroke services, and 30-day case fatality

BACKGROUND AND PURPOSE

According to World Health Organization statistics, Ukraine has extremely high stroke mortality. No population-based prospective studies of stroke incidence have been performed yet in this European country with approximately 50 million inhabitants. High reported rates of stroke mortality in official statistics conflict with some locally published incidence data in Ukraine. To obtain accurate data, we evaluated stroke incidence and 30-day case fatality in a prospective population study in the West Ukrainian city of Uzhgorod with a population of 126 000 inhabitants.

METHODS

Case certification by neurologists and follow-up at 30 days after stroke for all patients identified by any level of the health service system were performed for a 12-month period.

RESULTS

We identified 352 stroke cases. The age-standardized incidence was 341 and 238 of 100 000 and mortality was 83 and 69 of 100 000 with the use of the European or world standard population for standardization. Mean age of stroke patients was 63.4+/-12.5 years. Rate of hospitalization was 66%. Hospitalized patients were >10 years younger than those treated in their homes. The 30-day case fatality rates were 15.4% among hospitalized patients and 36.8% among those treated at home. Overall 30-day case fatality was 23.3%.

CONCLUSIONS

Stroke incidence and 30-day case fatality in this West Ukrainian city were similar to those of some West European countries and were much lower than what could be expected from World Health Organization statistics. The relatively low incidence rate seems accurate; because of the organization of local stroke services, it is not probable that a considerable proportion of patients with acute stroke could bypass all levels of the acute care health system. Local health statistics reported a much lower number of stroke cases and stroke deaths than found in our survey; thus, further study is needed to clarify the reason for the discrepancy between local data and the high reported stroke mortality in Ukraine.