Systematic Analysis Research Articles

Prophylactic Antibiotics Delivered Via the Respiratory Tract to Reduce Ventilator-Associated Pneumonia: A Systematic Review, Network Meta-Analysis, and Trial Sequential Analysis of Randomized Controlled Trials

Objectives: To assess the effects of antibiotics delivered via the respiratory tract in preventing ventilator-associated pneumonia (VAP). Data Sources: We searched PubMed, Scopus, the Cochrane Library, and ClinicalTrials.gov for studies published in English up to October 25, 2023. Study Selection: Adult patients with mechanical ventilation of over 48 h and receiving inhaled or instilled antibiotics (with control group) to prevent VAP were included. Data Extraction: Two independent groups screened studies, extracted the data, and assessed the risk of bias. The Grading of Recommendations Assessment, Development, and Evaluation approach was used to assess the certainty/quality of the evidence. Results of a random-effects model were reported for overall and predefined subgroup meta-analyses. The analysis was primarily conducted on randomized controlled trials, and observational studies were used for sensitivity analyses. Data Synthesis: Seven RCTs with 1445 patients were included, of which six involving 1283 patients used nebulizers to deliver antibiotics. No obvious risk of bias was found among the included RCTs for the primary outcome. Compared with control group, prophylactic antibiotics delivery via the respiratory tract significantly reduced the risk of VAP (risk ratio [RR], 0.69 [95% CI, 0.53–0.89]), particularly in subgroups where aminoglycosides (RR, 0.67 [0.47–0.97]) or nebulization (RR, 0.64 [0.49–0.83]) were used as opposed to other antibiotics (ceftazidime and colistin) or intratracheal instillation. No significant differences were observed in mortality, mechanical ventilation duration, ICU and hospital length of stay, duration of systemic antibiotics, need for tracheostomy, and adverse events between the two groups. Results were confirmed in sensitivity analyses. Conclusions: In adult patients with mechanical ventilation for over 48 h, prophylactic antibiotics delivered via the respiratory tract reduced the risk of VAP, particularly for those treated with nebulized aminoglycosides.

Emergence of chambers in the Turkish history: the case of Dersaadet Chamber of Commerce (DCC) as a public-agent meta-organization, 1882–1929

Purpose Building on previous historical works, this study aims to develop a framework to represent chambers as meta-organizations and present the case of Dersaadet Chamber of Commerce (DCC), based on this framework, during its emergence and evolution in the late 19th and early 20th centuries. Design/methodology/approach In the study, a historical narrative was constructed from primary and secondary data. To complement data collected from the archives a systematic content analysis was used to explore the discourse of the chamber within its serial magazine. Findings It was found that the first chamber of the Ottoman Empire, DCC, was established according to the public law model as an extension of the economic context and the guild order, and it was observed that it increasingly conformed to this model between 1882 and 1929. Originality/value In this study, chamber models are examined for the first time according to the designated features of meta-organizational forms, built on the historical work on chambers. The case of DCC suggested that it adopted a public law model and displayed much continuity, even when significant transitions were observed during the modernization process from Ottoman Empire to Turkish Republic.

Blockchain for Organ Transplantation: A Survey

As blockchain becomes more widely used, a growing number of application fields are becoming interested in blockchain to benefit from its decentralised nature, invariability, security, transparency, quick transaction capabilities, and cost-effectiveness. Blockchain has a wide range of applications and uses in healthcare. Distributed ledger technology facilitates the secure transfer of patient medical records, manages the medicine supply chain, and creates an efficient, transparent, safe, and effective way of communicating data across global healthcare. The organ transplantation process (OTP) is one of the healthcare areas that benefit from the use of such technology to make its process more secure and transparent. In this article, we put forward a systematic literature review analysis on the application of blockchain to the OTP. Additionally, we address and highlight the barriers and challenges that arise while using blockchain technology for the OTP. We also offer some suggestions for future developments that would enhance blockchain’s implementation in the OTP domain.

Assessing the German Act on Corporate Due Diligence Obligations in Supply Chains: a perspective from the smallholder cocoa farmer

This research examines the potential outputs, outcomes, and impacts of the German Act on Corporate Due Diligence Obligations in Supply Chains (LkSG) on the smallholder cocoa farmers in West Africa. The study primarily relies on a literature review and an impact pathway to conduct a systematic analysis to identify the potential effects of the LkSG on smallholder cocoa farmers. The findings indicate that some, but not all of the risks addressed by the LkSG align with those faced by smallholder cocoa farmers and their families. Additionally, the research also reveals weaknesses, particularly in managing environmental risks, which the LkSG does not adequately cover. Our findings show that in the short- and medium-term, the LkSG has no potential effects on smallholder cocoa farmers. Furthermore, the potential positive impacts of the law on smallholder cocoa farmers will take a long time to realize, as the LkSG considers primarily tier-1 suppliers. Companies in Germany might reassess their supply chains to strive for an LkSG-risk-free supply chain, which could in the long term have sustained impacts on smallholder cocoa farmers. However, we recommend a comprehensive risk analysis of the cocoa supply chain to enhance the human rights of cocoa farmers.

M2WISH: An easy and efficient protocol for whole‐mount mRNAin situ hybridization that allows 3D cell resolution of gene expression in Arabidopsis thaliana

SUMMARYGene expression analysis is essential for understanding the mechanisms involved in plant development. Here, we developed M2WISH, a protocol based on MicroWave treatment for Wholemount mRNA In Situ Hybridization in Arabidopsis. By permeabilizing tissues without damaging cellular organization this protocol results in high and homogeneous hybridization yields that enable systematic analysis of gene expression dynamics. Moreover, when combined with cellular histochemical staining, M2WISH successfully provides a cellular resolution of gene expression. Thus, we demonstrate the robustness of M2WISH with 10 genes on roots, aerial meristems, leaves, and embryos in the seed. We applied M2WISH to study the spatial dynamics of WUSCHEL (WUS) and CLAVATA3 (CLV3) expression during in vitro meristematic conversion of roots into shoot apical meristems. Thus, we showed that shoot apical meristems could arise from two different types of root structures that differed by their CLV3 gene expression patterns. We constructed 3D cellular representations of WUS and CLV3 gene co‐expression pattern and stressed the variability inherent to meristem conversion. Thus, this protocol generates a large amount of data on the localization of gene expression, which can be used to model complex systems.

OPTIMIZATION OF ORGANIZATIONAL PROCESSES IN CIVIL ENGINEERING USING LOGISTICS MODELS

Purpose. In accordance with the analyzed problem, there is a need for a more detailed study and justification of the benefits of implementing logistics models to optimize organizational processes in civil engineering. Methodology. To achieve this goal, the article conducts a systematic analysis of organizational processes in civil engineering in terms of logistics approaches. Current trends in the industry, regulations and scientific developments are considered, risks and barriers that may arise when implementing logistics models in the construction industry are analyzed, practical examples of possible use of logistics concepts in civil engineering at different stages of work and when using specific building materials are offered, ways to overcome barriers and stimulate the implementation of logistics models are provided, and an integrated approach to optimizing organizational processes in civil engineering is proposed. Findings. The study has shown that the introduction of logistics models in civil engineering can lead to: significant efficiency improvements, shorter construction time, reduced costs for materials and transportation, improved quality of construction work, reduced environmental impact, rational use of resources, reduced construction waste, increased competitiveness, improved safety, and increased project profitability. Originality. The key principles of development and functioning of logistics models in the context of civil construction are identified: the principle of integration: combining all stages of the construction process into a single logistics system, the principle of resource optimization: minimizing the cost of materials, transport, labor, the principle of flexibility and adaptability: the ability to adapt the logistics model to changing construction conditions. Practical value. The results of the study indicate that the introduction of logistics models in civil engineering is a relevant and promising area for optimizing processes in this sector. The use of logistics can contribute to effective resource management, increase productivity and reduce costs, which is noted by the practical importance of this study.

Data quality analysis after hyperspectral LiDAR sequentially mapping trees

Abstract. Light detection and ranging (LiDAR), as an innovative remote sensing tool, not only captures target reflectance but also provides its morphological parameters. Traditional single/multi-band LiDAR and multispectral LiDAR (MSL) are presently employed in applications such as 3D modeling and plant biochemical parameter inversion albeit with effectiveness limited. Moreover, hyperspectral LiDAR (HSL) distinguished by its expanded array of spectral detection channels and enhanced spectral resolution, has proven more effective in meeting these requirements and also exhibits superior capabilities in both feature and land cover classification tasks. Nevertheless, point clouds acquired through HSL frequently exhibit quality deficiencies, including uneven density and excessive noise. Meanwhile, there exists a notable absence of technical specifications and operational standards governing the measurement protocols for HSL systems globally. To address this gap, this study constructed a systematic analysis framework of data quality in hyperspectral point clouds and endeavors to qualitatively analyse 30 tree point clouds continuously scanned with Finnish Geospatial Research Institute (FGI) 8-band hyperspectral laser scanner. Furthermore, this research validated the theoretical feasibility of employing the 8-band HSL system for inversion processes aimed at quantifying chlorophyll leaf content. Apart from detecting the time-varying patterns of reflectance within birch canopy point clouds, the results of this study also effectively pinpointed the band exhibiting heightened noise level of the HSL system, demonstrating the efficacy of our proposed quality analysis methodology. The endeavor presented in this study can serve as a cornerstone for advancing hyperspectral LiDAR across a diverse array of related remote sensing and earth observation applications.

Rescue and recovery: The COVID and post-COVID responses of apprenticeship systems

ABSTRACT Few changes have been so abruptly disruptive to apprenticeships worldwide as the global COVID outbreak from early 2020 onwards. Because apprenticeships involve experience in workplaces (normally via employment), as well as participation in education systems, the effects were especially serious. There was extra urgency to policy responses because apprenticeships are disproportionately, and in some countries, exclusively, undertaken by young people. There were no worldwide ‘answers’ as to what to do, as apprenticeship systems vary greatly among countries. The paper examines the development of apprenticeship-related measures in several countries worldwide, with a particular focus on Australia and England. The paper uses statistical data, government announcements, guidance from stakeholders and officials, and also a systematic analysis of presentations by leading country experts at an online international apprenticeship conference in May 2021. Reflecting on common concerns on apprenticeship system, the paper critiques and analyses the effects and potential effects of COVID and post-COVID measures on apprenticeship systems.

Well Selection for CO2 Huff-n-Puff in Unconventional Oil Reservoirs Based on Improved Fuzzy Method

The implementation of CO2 huff-n-puff in unconventional oil reservoirs represents a green development technology that integrates oil recovery and carbon storage, emphasizing both efficiency and environmental protection. A rational well selection method is crucial for the success of CO2 huff-n-puff development. This paper initially identifies eight parameters that influence the effectiveness of CO2 huff-n-puff development and conducts a systematic analysis of the impact of each factor on development effectiveness. A set of factors for well selection decisions is established with seven successful CO2 huff-n-puff cases. Subsequently, the influencing factors are classified into positive, inverse, and moderate indicators. By using an exponential formulation, a method for calculating membership degrees is calculated to accurately represent the nonlinearity of each parameter’s influence on development, resulting in a dimensionless fuzzy matrix. Furthermore, with the oil exchange ratio serving as a pivotal parameter reflecting development effectiveness, recalibration of weighting factors is performed in conjunction with the dimensionless fuzzy matrix. The hierarchical order of weighting factors, from primary to secondary, is as follows: porosity, reservoir temperature, water saturation, formation pressure, reservoir thickness, crude oil density, crude oil viscosity, and permeability. The comprehensive decision factor and oil exchange ratio exhibit a positive correlation, affirming the reliability of the weighting factors. Finally, utilizing parameters of the Ordos Basin as a case study, the comprehensive decision factor is calculated, with a value of 0.617, and the oil exchange ratio is predicted as 0.354 t/t, which falls between the Chattanooga and Eagle Ford reservoirs. This approach, which incorporates exponential membership degrees and recalibrated weighting factors derived from actual cases, breaks the limitations of linear membership calculation methods and human factors in expert scoring methods utilized in existing decision-making methodologies. It furnishes oilfield decision-makers with a swifter and more precise well selection method.

Study on ultimate capacity and design method of cold-formed steel equal lipped angle components under axial compression

This study focuses on evaluating the load-bearing capacity of cold-formed steel (CFS) equal lipped angle components. It delves into the structural behavior and design methods, taking into account various edge conditions and buckling modes. By considering the key parameters, which are component length, component thickness, total lip length, and lip bending angle, a total of 555 numerical models are developed for a systematic analysis on the components with two types of cross-sectional shapes. Since the coefficients within the direct strength method (DSM) inadequately capture the ultimate load-bearing capacity of lipped angle components, we introduce a design methodology rooted in the DSM framework to address global and global-local coupling buckling modes while imposing constraints to prevent local-distortion coupling buckling modes. The machine learning models (XGBoost, BPNN, and 1D-CNN) are adopted to predict the structural behavior of the two types of lipped angle components. These models can integrate the analysis of the components with two types of cross-section shapes in predictions of ultimate load capacity, axial deformation, and buckling modes. Meanwhile, the prediction accuracy of the machine learning models surpasses that of the analytical design methodology, offering more accurate prediction for ultimate load capacity, axial deformation and buckling modes.

Big data in transportation: a systematic literature analysis and topic classification

AbstractThis paper identifies trends in the application of big data in the transport sector and categorizes research work across scientific subfields. The systematic analysis considered literature published between 2012 and 2022. A total of 2671 studies were evaluated from a dataset of 3532 collected papers, and bibliometric techniques were applied to capture the evolution of research interest over the years and identify the most influential studies. The proposed unsupervised classification model defined categories and classified the relevant articles based on their particular scientific interest using representative keywords from the title, abstract, and keywords (referred to as top words). The model’s performance was verified with an accuracy of 91% using Naïve Bayesian and Convolutional Neural Networks approach. The analysis identified eight research topics, with urban transport planning and smart city applications being the dominant categories. This paper contributes to the literature by proposing a methodology for literature analysis, identifying emerging scientific areas, and highlighting potential directions for future research.

Finite element analysis of the biomechanical effects of anterior and posterior cervical fusion surgery for bilateral cervical dislocation

Lower cervical spine injuries often manifest as lower cervical vertebral fractures and dislocations, as well as lower cervical facet joint dislocations. Especially in cases of bilateral facet joint dislocations, it is important to rapidly and effectively relieve spinal cord and nerve root compression to prevent secondary spinal cord injury, while also providing reliable and long-lasting stability to the injured segment after surgery. Combined anterior and posterior approaches have the advantages of both pure anterior or posterior approaches, but the actual situation is complex and variable, making systematic theoretical analysis crucial. This study, with bilateral facet joint dislocation of the C6 segment and cervical spinal cord injury as the research background, established a three-dimensional model of the cervical spine C3-C7 after implementing four types of anterior-posterior combined surgeries. The four surgical approaches consist of four combinations: anterior parallel or inclined screw placement combined with posterior Margel or Anderson method screw insertion. Through finite element method, a systematic comparative analysis of the theoretical effects of the four combined surgeries in treating bilateral facet joint dislocation of the cervical spine was conducted. The conclusion was that the variations in the four combined fixation methods have a certain impact on the biomechanical characteristics of the intervertebral disc nucleus. There is a clear mutual influence relationship among anterior and posterior fixation instruments. Based on the model used in this study, it is recommended to use a torque greater than 2.1 nm to tighten the locking nut of the posterior rod to ensure reliable internal fixation.

Artificial Intelligence Techniques for the Photovoltaic System: A Systematic Review and Analysis for Evaluation and Benchmarking

AbstractNovel algorithms and techniques are being developed for design, forecasting and maintenance in photovoltaic due to high computational costs and volume of data. Machine Learning, artificial intelligence techniques and algorithms provide automated, intelligent and history-based solutions for complex scenarios. This paper aims to identify through a systematic review and analysis the role of artificial intelligence algorithms in photovoltaic systems analysis and control. The main novelty of this work is the exploration of methodological insights in three different ways. The first approach is to investigate the applicability of artificial intelligence techniques in photovoltaic systems. The second approach is the computational study and analysis of data operations, failure predictors, maintenance assessment, safety response, photovoltaic installation issues, intelligent monitoring etc. All these factors are discussed along with the results after applying the artificial intelligence techniques on photovoltaic systems, exploring the challenges and limitations considering a wide variety of latest related manuscripts.

The Influence of Information Cooperation in Central Asia on the Interests and Foreign Policy of the Republic of Kazakhstan

Abstract This article examines how information cooperation influences Kazakhstan’s foreign policy. Through systematic analysis and comparison methods, this article identifies key trends and differences in information cooperation among Central Asian countries. Strengthening regional contacts and Kazakhstan’s engagement in international organizations emerge as pivotal outcomes of this interaction. Diplomatic services, regional initiatives, media projects, and cybercrime counteraction play essential roles in creating a modern information landscape in Kazakhstan. This research provides a foundation for future studies on information cooperation in Central Asia and its broader international implications.

Evaluation of the Pathway of Contaminants in the Environment: A Case Study of Different Aquatic Environmental Compartments

The occurrence of contaminants of emerging concern (CECs) in several environmental compartments has raised significant concern given the extensive array of compounds and their consistent detection across various environmental matrices. Monitoring all potentially harmful compounds and identifying their sources is nearly impossible. However, providing data on their occurrence is crucial and lays the groundwork for decision makers to craft mitigation strategies toward a more sustainable water policy. Hence, the primary aim of this study was to conduct an evaluation study on CECs occurrence in the environment. The main novelty relies on understanding their specific pathway in three different environmental aquatic compartments. For that, a combined study of a systematic review and systemic analysis was performed. Initially, the five most common types of CECs found in aquatic ecosystems (groundwater and surface water) and wastewater were considered. For each group of CECs, five contaminants were identified. A bibliographic portfolio was generated through the application of a systematic review. Finally, a systemic analysis of the bibliographic portfolio was conducted. All classes of contaminants studied were identified in the environmental compartments evaluated. Except for pesticides, the degree of contamination by CECs followed a sequence based on the aquatic compartment (i.e., WW–SW–GW).

ASPECTS OF THE USE OF ANTIDIABETIC DRUGS IN PHARMACEUTICAL PRACTICE ON THE BASIS OF RATIONAL PHARMACOTHERAPY

The aim of the article. To study of the incidence of diabetes mellitus in Ukraine and to determine the prospects for the use and pharmaceutical development of antidiabetic drugs. Materials and methods. Data from the State Registers of Medicinal Products of Ukraine, of Wholesale and Retail Prices for Medicinal Products declared in Ukraine under an international non-proprietary or generic name (01.01.2024). Were used: systematic and comparative analysis, processing and synthesis, and generalization to determine the forecasted prospects. Results. In Ukraine the number of diabetes patients increased by 11% in the group of children and adolescents; in the group of elderly patients – by 12.5%, among the adult working – 20%, diabetes of the II type predominates. The trend of increase in the number of studies on the search for therapeutic alternatives for the treatment of type II diabetes and list of medicines on the pharmaceutical market has been revealed. In Ukraine drugs for oral use include APIs of the following pharmacological groups: sulfonylureas; meglitinides; biguanides; thiazolidinedione; α-glucosidase inhibitors; DPP-4 inhibitors; SGLT-2 inhibitors. Mechanism of action of the new class of oral hypoglycemic agents, approved by the FDA, consists in blocking SGLT-2 proteins from the proximal convoluted tubule in the kidney, leads to the prevention of reabsorption and excretion of the glucose molecule. This allows its use in combination with insulin and other antidiabetic drugs for the treatment of type I and II diabetes in patients of various age categories. According to the volume of clinical studies, SGLT-2 inhibitor SGLT-2 derivative gliflozin API drugs are the second largest group of antidiabetic drugs recommended for use by FDA and EMA regulatory bodies. Conclusions. The pharmaceutical development of mono and combined drugs with APIs SGLT-2 inhibitors gliflozin derivatives in combination with APIs with metformin, DPP-4 inhibitors, APIs thiazolidinedione derivatives is promising for solving the problem of diabetes treatment and prevention of complications for patients of different age groups including working population in Ukraine.

Effect of prophylactic corticosteroids on postoperative neurocognitive dysfunction in the adult population: An updated systematic review, meta-analysis, and trial sequential analysis of randomised controlled trials

Background and Aims: Postoperative neurocognitive dysfunction (PNCD) commonly occurs after surgery and prolongs hospital stays. Both direct noxious stimuli to the central nervous system and systemic inflammation have been implicated. Due to their potent anti-inflammatory effects, corticosteroids have been utilised to attenuate the incidence and severity of PNCD. This systematic review and meta-analysis strived to evaluate the prophylactic role of perioperative corticosteroids for PNCD. Methods: A search was run in pre-defined databases for randomised controlled trials (RCTs) assessing the role of corticosteroids in preventing PNCD. The incidence of PNCD within 1 month was the primary outcome. Secondary outcomes included the use of antipsychotic medications for the treatment, postoperative infection, and hospital length of stay. The results are exhibited as odds ratio (OR) and the mean difference (MD) with 95% confidence interval (CI). Results: Fifteen RCTs comprising 15,398 patients were included. The incidence of PNCD was significantly lower in the corticosteroid group than in the control group, with a pooled OR of 0.75 (95% CI 0.58, 0.96; P = 0.02; I2 = 66%). Trial sequential analysis showed the clinical benefit of corticosteroids in preventing PNCD; however, the requisite information size is still inadequate. The sub-group analysis supported the prophylactic effect of corticosteroids on delirium prevention but not on delayed neurocognitive recovery. Conclusions: Our meta-analysis revealed statistically significant protective effects of corticosteroids on the incidence of PNCD. However, further studies are still needed to confirm the protective role of this commonly used and relatively safe strategy for preventing PNCD.

History of periodontitis as a risk factor for implant failure and incidence of peri-implantitis: A systematic review, meta-analysis, and trial sequential analysis of prospective cohort studies.

Dental implants are widely employed as dependable replacements for lost teeth. However, it is crucial to establish, solely through prospective cohort studies, whether a history of periodontitis indeed constitutes a significant risk factor for implant failure. A systematic literature search was conducted in October 2022 in several electronic databases with subsequent manual updates. Only original prospective cohort studies evaluating the implant (loss) rate ≥1 year after implant loading were included. Logarithmic risk ratio and weighted mean differences were calculated. Study results were summarized using random effects meta-analyses evaluated by trial sequential analyses. The Newcastle-Ottawa scale evaluated study bias and the GRADE approach assessed the certainty/quality of the evidence. A total of 14 publications reporting on 12 prospective cohort studies were included. Low evidence certainty/quality evidence due to the absence of randomized clinical trials revealed significantly greater odds of failure in patients with a history of periodontitis at follow-ups both after ≤5 years (OR = 1.65; 95% CI: 1.12-2.44; p = 0.012) and >5 years (OR = 2.36; 95% CI: 1.13-4.95; p = 0.023). The incidence of peri-implantitis (OR = 5.93; 95% CI: 2.75-12.8; p < 0.001) and the weighted mean (WM) of marginal bone loss (WM difference = 0.75 mm; 95% CI: 0.18-1 0.3; p < 0.05) were statistically significantly greater in the periodontally compromised group, whereas there was no significant difference between the two groups for peri-implant probing depth. A history of periodontitis can be considered a significant risk factor for incident implant failure, peri-implantitis, and greater marginal bone loss.

Tanggung Jawab Rumah Sakit terhadap Hak-Hak Konsumen Akibat Kelalaian Medis

The purpose of the study is to the legal impact of medical accidents on the rights of patients as hospital consumers and to find out how the obligations, rights and responsibilities of hospitals to consumers of health services. This research uses normative juridical research methods, namely research that emphasizes legal science but besides that it also refers to laws and regulations and examines the rules that apply in society. The approach used is a statutory approach and an analysis approach and reviewing articles, namely by reviewing and analyzing from several literature references. The data collection technique in this study is by literature study. The data analysis technique used in this study is a systematic qualitative analysis using deductive methods by drawing conclusions from general to specific with keywords legal impact, medical accidents, hospital consumer rights. As a result, the hospital's legal responsibility to patients in the effort of medical services can be in the form of responsibility for making mistakes and omissions that cause harm not only to themselves but also to others under their supervision and responsibility for losses suffered by consumers due to negligence of hospital services.

PRACTICE OF USING IMPLANTS IN GYNECOLOGICAL SURGICAL INTERVENTIONS (SCIENTIFIC LITERATURE REVIEW)

Introduction. The use of implants during surgical interventions in gynecology can contribute to the anatomical restoration of the genital organs. The most commonly used implants in gynecology are polypropylene meshes, which promote tissue ingrowth, thus restoring reproductive organs. One of the reasons for using implants in gynecology is pelvic organ prolapse, including uterine prolapse, anterior or posterior vaginal wall prolapse, and vaginal vault prolapse. Synthetic implants are often utilized to reinforce surgical interventions for gynecological disorders, with better indicators of anatomical success in the long term. The aim of the research is to investigate the biomechanical properties of implants in gynecology as effective means for the surgical restoration of female reproductive organs. Materials and methods. Bibliosemantic, comparative, and systematic analysis methods were employed. The proposed recommendations were developed based on the analysis of contemporary literature, results of randomized trials, and meta-analyses dedicated to studying the impact of implants in surgical interventions in gynecological practice. Results. The analyzed results indicate that the optimal supportive framework of implants for gynecological surgery, particularly in the treatment of prolapse, should aim to facilitate the formation of a new matrix for fascial reinforcement, thereby minimizing the development of scar tissue. Conclusions. The primary objective of using implants in gynecological surgical interventions is to search for optimal designs to complement vaginal surgery. This is essential for prolonging treatment outcomes, increasing patient satisfaction, and reducing complications.