Hossein Valizadeh Laktarashi, Milad Rahimi, Kimia Abrishamifar, Ali Mahmoudabadi, Elham Nazari
{"title":"Identification of Important Diagnostic Genes in the Uterine Using Bioinformatics and Machine Learning.","authors":"Hossein Valizadeh Laktarashi, Milad Rahimi, Kimia Abrishamifar, Ali Mahmoudabadi, Elham Nazari","doi":"10.47176/mjiri.39.4","DOIUrl":"10.47176/mjiri.39.4","url":null,"abstract":"<p><strong>Background: </strong>Uterine corpus endometrial cancer (UCEC) is known as the sixth most common cancer in the world. Advances in bioinformatics and deep learning have provided the 2 tools for screening large-scale genomic data and discovering potential biomarkers indicative of disease states. This study aimed to investigate the identification of important genes for diagnosis and prognosis in the uterus using bioinformatics and machine learning algorithms.</p><p><strong>Methods: </strong>RNA expression profiles of UECE patients were analyzed to identify differentially expressed genes (DEGs) using deep learning techniques. Prognostic biomarkers were assessed through survival curve analysis utilizing COMBIO-ROC. Additionally, molecular pathways, protein-protein interaction (PPI) networks, co-expression patterns of DEGs, and their associations with clinical data were thoroughly examined. Ultimately, diagnostic markers were determined through deep learning-based analyses.</p><p><strong>Results: </strong>According to our findings, MEX3B, CTRP2 (C1QTNF2), and AASS are new biomarkers for UCEC. The evaluation metrics demonstrate the deep learning model's (DNN) efficacy, with a minimal mean squared error (MSE) of 5.1096067E-5 and a root mean squared error (RMSE) of 0.007, indicative of accurate predictions. The R-squared value of 0.99 underscores the model's ability to explain a substantial portion of the variance in the data. Thus, the model achieves a perfect area under the curve (AUC) of 1, signifying exceptional discrimination ability, and an accuracy rate of 97%.</p><p><strong>Conclusion: </strong>The GDCA database and deep learning algorithms identified 3 significant genes -MEX3B, CTRP2 (C1QTNF2), and AASS-as potential diagnosis biomarkers of UCEC. Thus, identifying new UCEC biomarkers has promise for effective care, improved prognosis, and early diagnosis.</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"39 ","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138763/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Epidemiological Study of The Mortality of Patients with Progeria during the Years 2013 To 2022 in Iran.","authors":"Ensieh Tavana, Masoumeh Andish, Samaneh Eslami, Amin Moradi, Iman Mosaei, Monavar Afzalaghaee, Mosa Farkhani","doi":"10.47176/mjiri.39.3","DOIUrl":"10.47176/mjiri.39.3","url":null,"abstract":"","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"39 ","pages":"3"},"PeriodicalIF":0.0,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138785/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of Psoas Muscle Index for Prognosis Prediction in Patients with Ovarian Cancer: A Retrospective 2-Center Cohort Study.","authors":"Mahdiss Mohamadianamiri, Mohammadreza Babaei, Arash Mohazzab, Fahimeh Zeinalkhani, Peyman Kamali Hakim, Somayeh Ebadi Soflo, Fatemeh Jayervand, Maryam Noroozi","doi":"10.47176/mjiri.39.2","DOIUrl":"10.47176/mjiri.39.2","url":null,"abstract":"<p><strong>Background: </strong>Ovarian cancer is a leading cause of death among gynecological cancers. The prognosis depends mainly on the diagnosis stage. Sarcopenia, characterized by muscle wasting, significantly impacts cancer prognosis. This study aimed to examine the importance of the psoas muscle index in predicting outcomes for ovarian cancer patients.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study with 73 patients treated between 2011 and 2021 at Akbarabadi Obstetrics and Gynecology Hospital and Rasool-Akram General Hospital in Tehran, Iran. The psoas muscle index was calculated from the sectional area of the psoas muscle at the third lumbar vertebra using computed tomography (CT) and magnetic resonance imaging (MRI) scans. Data collection included demographic information, cancer stage, pathology, and treatment outcomes. Statistical analyses, including logistic and Cox regressions, evaluated the association between the psoas muscle index and patient outcomes.</p><p><strong>Results: </strong>The psoas muscle index was significantly higher in patients without treatment failure (173 ± 28.94) compared with those with treatment failure (149.75 ± 20.39) (<i>P</i> = 0.016). Logistic regression analysis indicated that an increased psoas muscle index was an independent predictor for better survival outcomes (odds ratio [OR], 0.891 [95% CI, 0.786-1.01]).</p><p><strong>Conclusion: </strong>The findings highlight the importance of sarcopenia in the prognosis of ovarian cancer. This study supports the potential of the psoas muscle index as a noninvasive and accessible prognostic tool in clinical practice.</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"39 ","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138782/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmad Tahmasebi-Ghorrabi, Amal Saki Malehi, Amin Torabipour, Amir Hosseinipour, Mohadeseh Davodian, Arman Shahriari
{"title":"Cost-of-Illness Analysis of Diabetic Foot Ulcer: A Prevalence-Based Approach in Southwest of Iran.","authors":"Ahmad Tahmasebi-Ghorrabi, Amal Saki Malehi, Amin Torabipour, Amir Hosseinipour, Mohadeseh Davodian, Arman Shahriari","doi":"10.47176/mjiri.39.1","DOIUrl":"10.47176/mjiri.39.1","url":null,"abstract":"<p><strong>Background: </strong>Diabetic foot ulcer (DFU) is a destructive complication of diabetes that imposes a significant economic burden on patients and the health system. This study was conducted to estimate and influence factors on DFU costs in Ahvaz, Iran.</p><p><strong>Methods: </strong>This study was a cross-sectional study in 2017 among 213 DFU patients referred to Razi Hospital in Ahvaz, Iran. A cost of illness checklist was used to collect information. After calculating the costs, to analyze the effect of variables on the change of costs, regression analysis was used in the generalized linear method with gamma distribution. Also, based on the percentage of changes in cost items in 5 years, the costs of DFU until 2042 were estimated. Data analysis was done using descriptive and analytical tests (gamma regression) in SPSS Version 26 software.</p><p><strong>Results: </strong>The total costs of each patient in the year were 319,885,040 Rials ($7616.31). Direct medical costs were 280,539,930 Rials ($6679.52) (87.7%), indirect medical costs were 5,670,550 Rials ($135.01) (1.77%), and indirect costs were 3,3674,560 Rials ($801.78) (10.53%). Based on the estimate, annual DFU cost items and total costs will increase by 32 and 258.3 times for each patient in 2042, respectively. Regression analysis showed that type of insurance, presence of infection, hospitalization, degree of wound, duration of wound, family history, and employment status are influential factors in changes in DFU costs.</p><p><strong>Conclusion: </strong>DFU treatment costs are a substantial financial burden for patients, and these costs are increasing. Controlling the factors affecting the costs during the treatment process of this disease will reduce the financial burden on the patients.</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"39 ","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138731/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Annual Acknowledgement of Reviewers.","authors":"Hamid R Baradaran","doi":"10.47176/mjiri.38.151","DOIUrl":"https://doi.org/10.47176/mjiri.38.151","url":null,"abstract":"<p><p>The editors of Medical Journal of the Islamic Republic of Iran (MJIRI) would like to thank all our reviewers who have contributed to the journal in Volume 38 (2024).</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"38 ","pages":"151"},"PeriodicalIF":0.0,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138784/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Does an Unplanned Pregnancy Affect Maternal Stress and Depression From Pregnancy to 12 Months Postpartum? A Longitudinal Study.","authors":"Mahdi Khodadoust, Reyhane Mohamadi, Gholamreza Asadi-Karam, Zahra Mahmoodian, Zahra Ensafi, Maedeh Sarreshteh, Nouzar Nakhaee","doi":"10.47176/mjiri.38.150","DOIUrl":"10.47176/mjiri.38.150","url":null,"abstract":"<p><strong>Background: </strong>Research studies have shown an increased prevalence of mental health issues in women with unplanned pregnancies. However, many of these studies use cross-sectional methods. This particular study aimed to examine perceptions of stress and depression in women with unplanned pregnancies compared with those with planned pregnancies. The study tracked these perceptions, from the early stages of pregnancy to 12 months postpartum.</p><p><strong>Methods: </strong>In this quasi-experimental study, pregnant women attending health centers completed a baseline questionnaire around the fifth month of pregnancy. This survey gathered demographic information and inquired about pregnancy planning. Perceived stress and depression were assessed using the Perceived Stress Scale (PSS4) and the Patient Health Questionnaire (PHQ) 4 times up to 12 months postpartum. The relationship between pregnancy planning and PSS4 and PHQ2 scores was analyzed using generalized estimating equations (GEE).</p><p><strong>Results: </strong>A total of 302 women, with a mean age of 29.31 years and a standard deviation of 6, participated in the study. The findings revealed that women with unplanned pregnancies exhibited significantly higher levels of stress and depression throughout both the prenatal and postpartum periods, even after controlling for confounding variables. Additionally, the unplanned pregnancy group reported lower educational attainment, higher parity, older age, and less support from their marital and family networks.</p><p><strong>Conclusion: </strong>An unplanned pregnancy can significantly impact a mother's mental health, potentially lasting for months after giving birth. Women going through an unplanned pregnancy can greatly benefit from emotional support from their partners and family.</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"38 ","pages":"150"},"PeriodicalIF":0.0,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138777/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Association between Oligohydramnios and the Risk of Malpresentation: A Meta-Analysis.","authors":"Maryam Nurzadeh, Mahsa Naemi","doi":"10.47176/mjiri.38.149","DOIUrl":"10.47176/mjiri.38.149","url":null,"abstract":"<p><strong>Background: </strong>There is no consensus on the role of oligohydramnios on the increased risk of fetal malpresentation. Therefore, we decided, for the first time, to collect all published studies on this topic to synthesize all available data through a systematic review and meta-analysis to evaluate the effect of oligohydramnios on the increased risk of fetal malpresentation.</p><p><strong>Methods: </strong>A search was done in the following international electronic bibliographic databases: PubMed, Web of Science, and Scopus to April 2021. Heterogeneity among studies was determined by the Q-test and I2 statistic. Publication bias was assessed by Begg and Egger tests. The results were reported using odds ratio (OR) estimates with 95% confidence intervals (CI) using a random-effects model. Data were analyzed using Stata software Version 14 (StataCorp).</p><p><strong>Results: </strong>The meta-analysis identified 431 articles, comprising 227,351 participants, exploring the link between oligohydramnios and malpresentation. A significant association was found (OR, 1.79 [95% CI, 1.42-2.15]), indicating that oligohydramnios increases the risk of malpresentation. The analysis also revealed substantial heterogeneity among the included studies (I² = 80.2%; <i>P</i> < 0.001).</p><p><strong>Conclusion: </strong>This meta-analysis provides robust evidence that oligohydramnios is a significant risk factor for fetal malpresentation. These findings underscore the critical importance of monitoring amniotic fluid levels during pregnancy. The results suggest that healthcare providers should prioritize the assessment of amniotic fluid volume in pregnant patients, especially those presenting with risk factors for oligohydramnios.</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"38 ","pages":"149"},"PeriodicalIF":0.0,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determinants of Educational Technology Acceptance: Medical Teachers' Perception.","authors":"Monirsadat Khamesi, Rita Mojtahedzadeh, Snor Bayazidi, Aeen Mohammadi","doi":"10.47176/mjiri.38.148","DOIUrl":"https://doi.org/10.47176/mjiri.38.148","url":null,"abstract":"<p><strong>Background: </strong>Educational technology is becoming an additional tool for interaction between students and teachers, along with traditional systems, in developing and improving the quality of education. The activities of faculty members have a direct impact on the overall quality of the educational process. Therefore, this study aimed to determine factors affecting educational technology adoption in the medical education context.</p><p><strong>Methods: </strong>A sequential qualitative-quantitative mixed-method approach was used for this research. Firstly, a scoping literature review on related studies was conducted to extract involved factors in the adaption of educational technology. Next, using the three-round Fuzzy Delphi method, experts' perspectives about these factors were obtained. The Fuzzy Decision-Making Trial and Evaluation Laboratory (F. DEMATEL) was applied to investigate the relationships among these factors, and the Analytic Network Process (ANP) method was used to rank them.</p><p><strong>Results: </strong>Conducting the scoping review resulted in extracting the factors affecting educational technology adoption in education, which were organized into nine indicators and four categories, including perceived usefulness, improved performance, social benefit, and facilitating processes through a three-round Delphi. The weights of these indicators were determined in the third and fourth steps of the study.</p><p><strong>Conclusion: </strong>The findings of this study determined the most important factors affecting the acceptance of educational technologies, showed their relationship, and prioritized them. These findings can be used to integrate technology into the educational environment effectively. Investigating other factors according to the level of majors at the universities is recommended for future studies.</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"38 ","pages":"148"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hamid Pourasghari, Mohammad Ali Rezaei, Samad Azari, Fahimeh Haji Akhoundi
{"title":"Treatment Satisfaction with Teriflunomide in Patients with Multiple Sclerosis: A Systematic Review of Observational Studies.","authors":"Hamid Pourasghari, Mohammad Ali Rezaei, Samad Azari, Fahimeh Haji Akhoundi","doi":"10.47176/mjiri.38.146","DOIUrl":"10.47176/mjiri.38.146","url":null,"abstract":"<p><strong>Background: </strong>Research on treatment satisfaction with treatments of multiple sclerosis (MS) is essential for delivering patient-centered care and improving treatment adherence. We aimed to review studies that have used the Treatment Satisfaction Questionnaire for Medication (TSQM) to assess treatment satisfaction with teriflunomide in patients with MS.</p><p><strong>Methods: </strong>PubMed, Scopus, Web of Science, PsycINFO, the Cochrane Library, and Google Scholar were searched by 2 independent reviewers to identify all relevant studies. Studies were selected based on the inclusion and exclusion criteria. The quality of observational studies was appraised using the 14-item National Institute of Health Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies.</p><p><strong>Results: </strong>The search strategy was employed and 97 possible publications were found. After carefully reviewing the titles, abstracts, and full texts, a total of 9 articles have been selected for inclusion in the review. In all studies, teriflunomide had been prescribed in the treatment group, and in all studies, some patients had received previous disease-modifying therapies (DMTs). Study periods of all studies were between 3 months to 24 months. The results showed that all studies were of relatively high quality. In all studies, 4 domains of TSQM, especially the convenience domain, were improved after treatment with teriflunomide. Mean scores of the convenience domain in patients treated with teriflunomide were higher than other DMTs but some studies showed that some other DMTs may provide higher scores in other domains of TSQM.</p><p><strong>Conclusion: </strong>Treatment with teriflunomide improves satisfaction in patients with MS.</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"38 ","pages":"146"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physiotherapy Training Program Defects in Geriatrics: A Qualitative Study.","authors":"Maryam Taghinezhad, Shohreh Noorizadeh Dehkordi, Marzieh Yassin, Javad Sarrafzadeh","doi":"10.47176/mjiri.38.145","DOIUrl":"10.47176/mjiri.38.145","url":null,"abstract":"<p><strong>Background: </strong>To review the educational program of physical therapy students at the basic level, it is necessary to understand the challenges and problems faced by physical therapy graduates when working with the elderly. This study aimed to explain the deficiencies of the basic level educational program of physical therapy students with a qualitative study of the content analysis type.</p><p><strong>Methods: </strong>In-depth and semi-structured face-to-face interviews were conducted in qualitative research with a content analysis approach, with 13 physical therapists with at least 1 year of experience in the specialized field of geriatrics. The obtained data were analyzed using Granheim and Loudman's content analysis method.</p><p><strong>Results: </strong>A total of 29 codes of the physical therapy program defects in the field of geriatrics were obtained and placed in the 3 main categories as follows: The physical therapist's knowledge, the physical therapist's attitude, and the physical therapist's skill.</p><p><strong>Conclusion: </strong>The findings indicated that revisions are necessary to the undergraduate physical therapy training curriculum. It is possible to provide a lesson unit with a holistic approach to the elderly in the form of a physical therapy unit for the elderly, as well as valid instructions and guidelines in the field of aging for physical therapists. This can be done through basic or master's level internships in elderly care centers.</p>","PeriodicalId":18361,"journal":{"name":"Medical Journal of the Islamic Republic of Iran","volume":"38 ","pages":"145"},"PeriodicalIF":0.0,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12138643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}