Olayemi Michael Lawanson, Daniel Berleant, Oluwatomiwa Ajiferuke
{"title":"REVIEW AND RECOMMENDATIONS FOR HEALTH INFORMATICS IN SUB-SAHARAN AFRICAN COUNTRIES: BETWEEN OPPORTUNITIES AND CHALLENGES.","authors":"Olayemi Michael Lawanson, Daniel Berleant, Oluwatomiwa Ajiferuke","doi":"10.18103/mra.v13i5.6554","DOIUrl":"10.18103/mra.v13i5.6554","url":null,"abstract":"<p><strong>Background: </strong>There is a wide-reaching consensus that health should be a priority in national development plans. This is why the Sustainable Development Goal (SDG) 3 is aimed at securing good health for all. If the SDG 3 is to be a reality, there is a need to consider alternatives to the present traditional health system in sub-Saharan African countries. The implementation of health informatics, which is currently the focus of attention in the health sector, presents a huge opportunity with the potential to revolutionize the health systems of developing nations, particularly those in sub-Saharan Africa. In addition to reducing child mortality and infant death rates, providing high-quality healthcare in the region will help combat the challenges posed by preventable diseases and premature deaths that affect many sub-Saharan countries. Ensuring the quality of healthcare also depends on improving information quality, as accurate, timely, and reliable data are essential for effective decision-making and patient care. If the Sustainable Development Goals (SDG) is to be achieved, this issue must be addressed.</p><p><strong>Methods: </strong>This study reviews research on health information systems in sub-Saharan Africa. The search used medical databases (PubMed and Scopus) and found articles with keywords like \"health,\" \"information,\" \"Africa,\" and \"informatics.\" It also focused on both benefits and challenges of digital health systems in sub-Saharan Africa. The articles were categorized into health information's potential benefits, its application, and barriers and opportunities to set up these systems. This review summarizes the current state of health technology in sub-Saharan Africa, identifies key trends and research gaps, and provides useful insights for health workers, governments, and NGOs.</p><p><strong>Results: </strong>Studies show that health informatics implementation in sub-Saharan Africa is still far behind where it should be. This analysis uncovers challenges in the deployment of health informatics into the health sector. It identifies infrastructure as well as other limitations and how they can be overcome to help enable the realization of quality healthcare in the region. This will improve the quality of healthcare information, helping to facilitate effective healthcare delivery. Documenting the insufficient current status of healthcare informatics in the health sectors of SSA countries' health systems helps to highlight the potential contribution that informatics can make to health care in the region.</p><p><strong>Conclusion: </strong>The findings help provide a baseline of current knowledge to support efforts to implement health informatics in sub-Saharan Africa.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"13 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12165249/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144304141","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}
John Komp, Aaptha Boggaram, David P Kao, Ashutosh Trivedi, Michael A Rosenberg
{"title":"Strategies and Considerations for Safe Reinforcement Learning in Programming Cardiac Implantable Electronic Devices.","authors":"John Komp, Aaptha Boggaram, David P Kao, Ashutosh Trivedi, Michael A Rosenberg","doi":"10.18103/mra.v13i3.6363","DOIUrl":"https://doi.org/10.18103/mra.v13i3.6363","url":null,"abstract":"<p><p>The programming of cardiac implantable electronic devices, such as pacemakers and implantable defibrillators, represents a promising domain for the application of automated learning systems. These systems, leveraging a type of artificial intelligence called reinforcement learning, have the potential to personalize medical treatment by adapting device settings based on an individual's physiological responses. At the core of these self-learning algorithms is the principle of balancing exploration and exploitation. Exploitation refers to the selection of device programming settings previously demonstrated to provide clinical benefit, while exploration refers to the real-time search for adjustments to device programming that could provide an improvement in clinical outcomes for each individual. Exploration is a critical component of the reinforcement learning algorithm, and provides the opportunity to identify settings that could directly benefit individual patients. However, unconstrained exploration poses risks, as an automated change in certain settings may lead to adverse clinical outcomes. To mitigate these risks, several strategies have been proposed to ensure that algorithm-driven programming changes achieve the desired level of individualized optimization without compromising patient safety. In this review, we examine the existing literature on safe reinforcement learning algorithms in automated systems and discuss their potential application to the programming of cardiac implantable electronic devices.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"13 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040070/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144002248","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":"A Case Report: 19-Year-Old Hispanic Young Woman with Early-Stage Breast Cancer and a Germline Pathogenic Variant.","authors":"Tarsha Jones, Alice Zhang, Katherine Freeman","doi":"10.18103/mra.v13i2.6293","DOIUrl":"10.18103/mra.v13i2.6293","url":null,"abstract":"<p><strong>Background: </strong>Breast cancer (BC) is the most common cancer diagnosed in women globally and the leading cause of cancer-related deaths among younger women diagnosed between the ages of 20-49 years in the United States (US). Although the median age of BC diagnosis is 62 years overall, recent data show that early-onset BC is on the rise in young people. Black and Hispanic women are disproportionately affected by BC, often diagnosed at a younger age, and BC is the leading cause of cancer-related deaths for both groups of women. The aim of this report is to present the unique case of a young adult Hispanic woman diagnosed with early-stage BC. Younger women with BC face unique biological and psychosocial challenges compared to older post-menopausal women. Additionally, young breast cancer survivors (YBCS) are at an increased risk of BC recurrence. Therefore, there is a critical need to develop interventions that are tailored to the cultural and age-specific needs of racial and ethnic minority women to promote cancer risk-reduction and to improve health outcomes.</p><p><strong>Method case report: </strong>We present the case of a 19-year-old Hispanic female with no family history of breast cancer (BC), who was diagnosed with ductal carcinoma in situ (DCIS). Initially diagnosed in 2018, she received treatment at a comprehensive cancer center. At the time of diagnosis, she completed multigene panel testing to identify hereditary cancer risk. The testing revealed a pathogenic variant in the <i>PTEN</i> gene. The patient underwent a bilateral mastectomy as part of her treatment plan due to her high-risk status. Five years post-diagnosis, in 2023 she joined our NIH-funded research study focused on investigating the experiences and needs of young breast cancer survivors (YBCS) from diverse racial and ethnic backgrounds.</p><p><strong>Conclusion: </strong>Women are being diagnosed with BC at increasingly younger ages. This case underscores the need to increase awareness about risk factors among diverse younger women and highlights the critical role of genetic testing in identifying hereditary breast and ovarian cancer (HBOC) syndrome and using that knowledge for informed decision-making. This is especially important for racial and ethnic minority women who suffer disproportionately from BC outcomes. Furthermore, it emphasizes the importance of a holistic approach to care, grounded in caring science, which prioritizes the well-being of the whole person. Nurses, in collaboration with other healthcare providers, are in a unique position to positively impact the lives of young breast cancer patients, survivors, and those at high-risk for developing the disease. By advocating for early detection, tailored age-appropriate interventions, and comprehensive support, nurses can significantly improve health outcomes and empower young women to live longer, healthier lives. Future research should investigate the complex interaction between biological, psy","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"13 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12123653/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144201196","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}
Somesh Saha, Ritwick Mondal, Shramana Deb, Biswarup Sarkar, Julián Benito-León
{"title":"Diastolic Dysfunction Unveiling Cardiac Light-Chain Amyloidosis: A Case Report.","authors":"Somesh Saha, Ritwick Mondal, Shramana Deb, Biswarup Sarkar, Julián Benito-León","doi":"10.18103/mra.v12i12.6168","DOIUrl":"10.18103/mra.v12i12.6168","url":null,"abstract":"<p><strong>Background: </strong>Cardiac light-chain amyloidosis represents a critical component of this multi-systemic disease, significantly impacting prognosis. The extent of cardiac free light-chain deposition is the primary determinant of survival.</p><p><strong>Case presentation: </strong>We report the case of a 67-year-old male with a 10-year history of diabetes mellitus and arterial hypertension who presented with a two-day history of chest discomfort and difficulty lying down or sleeping, along with a two-month history of progressively worsening exertional dyspnea. On examination, the patient exhibited low blood pressure. A 12-lead electrocardiogram revealed poor R-wave progression and left ventricular hypertrophy. Further evaluation using 2D echocardiography demonstrated significant concentric left ventricular hypertrophy, a restrictive filling pattern, and mild pericardial effusion. Cardiac magnetic resonance imaging, nuclear imaging, and biopsy confirmed the diagnosis of cardiac light-chain amyloidosis.</p><p><strong>Conclusion: </strong>Timely recognition and a high index of suspicion are essential for the early diagnosis of cardiac amyloidosis. Prompt diagnosis enables the initiation of definitive therapy, which may halt disease progression and significantly improve prognosis.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"12 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11900892/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143618078","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}
Samuel Tanner, Emily Brzana, Andrew Deak, Dominic Recco, Madeline Tivon, Felicia Dillard, Samantha Watts, Neil Kondamuri, Sarah B Bass, Daniel J Rubin
{"title":"Qualitative Assessment of a Novel Intervention to Reduce Hospital Readmission Risk Among People with Diabetes.","authors":"Samuel Tanner, Emily Brzana, Andrew Deak, Dominic Recco, Madeline Tivon, Felicia Dillard, Samantha Watts, Neil Kondamuri, Sarah B Bass, Daniel J Rubin","doi":"10.18103/mra.v12i12.5882","DOIUrl":"10.18103/mra.v12i12.5882","url":null,"abstract":"<p><strong>Purpose: </strong>To qualitatively assess a novel intervention, the Diabetes Transition of Hospital Care (DiaTOHC) Program, designed to reduce hospital readmissions within 30 days of discharge among people with diabetes.</p><p><strong>Methods: </strong>In a separately reported randomized controlled trial of the DiaTOHC intervention, hospitalized people with diabetes were identified as high risk for 30-day hospital readmission using the Diabetes Early Readmission Risk Indicator (DERRI<sup>®</sup>). Of these, 58 participants were randomized to the intervention. After the 30-day intervention, participants and study staff completed semi-structured interviews until saturation was achieved, yielding 21 participant and 4 staff interviews. Each one underwent thematic analysis.</p><p><strong>Results: </strong>Four themes were identified: (1) Participants were motivated to make lifestyle changes, (2) Weekly Navigator phone calls were an effective method to support participants, (3) The intervention improved some diabetes knowledge domains but not others, and (4) Perceived lack of control was associated with readmission. Participants with baseline hemoglobin A1C (A1C) ≥8% made more changes to their diabetes management due to the intervention but were less likely to review the educational materials and had more extreme blood glucose levels. Participants who completed fewer post-discharge phone calls were more likely to find the educational booklet helpful than those who completed more calls.</p><p><strong>Conclusions: </strong>Education, care coordination, and follow up are key components of the DiaTOHC Program that may improve diabetes self-management after a hospitalization and reduce readmission risk.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"12 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12162107/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287682","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}
Marie Adonis-Rizzo, Ruth M Tappen, Monica Rosselli, David Newman, Joshua Conniff, Jinwoo Jang, KwangSoo Yang, Borko Furht
{"title":"Cultural Effects on the Performance of Older Haitian Immigrants on Timed Cognitive Tests.","authors":"Marie Adonis-Rizzo, Ruth M Tappen, Monica Rosselli, David Newman, Joshua Conniff, Jinwoo Jang, KwangSoo Yang, Borko Furht","doi":"10.18103/mra.v12i11.5868","DOIUrl":"10.18103/mra.v12i11.5868","url":null,"abstract":"<p><strong>Background: </strong>Ignoring the cultural factors that can affect performance on cognitive tests may result in use of tests that have not been validated for that group. One example is testing of Haitian Creole speaking adults who are increasingly affected by Alzheimer's disease and related dementias, for whom few tests have been validated.</p><p><strong>Aims: </strong>Our purpose is to describe differences in timed test performance between Haitian Creole and English-speaking participants and explore factors that may account for any differences in results found.</p><p><strong>Methods: </strong>Data was obtained from an ongoing longitudinal driving and cognition study \"In Vehicle Sensors to Detect Cognitive Change in Older Drivers.\" Two groups consisting of 12 Creole speaking and 12 English speaking older adults were matched by age and gender. Test scores were selected from the battery of tests administered in the parent study. The measures were translated by two bilingual Creole-English researchers. Group performance on five timed cognitive tests commonly used in research was compared.</p><p><strong>Results: </strong>The English-speaking group's mean scores were significantly higher than the Creole speaking group on the MoCA and the timed Animal category fluency, letter P fluency, Stroop Color Test, and Trail Making Test A and B. The most significant effects were noted in Letter P fluency, Trail Making Test A and B and Animal category fluency where the differences had large effect sizes. However, the Creole speaking group had higher mean scores than the English-Speaking group on the Stroop Color Word Test, although the difference was not statistically significant. It was not feasible to match education levels due to the differences in years of education across the groups. These results highlight the significant role of culture and linguistic context in cognitive task performance.</p><p><strong>Conclusions: </strong>The results suggest performance in cognitive testing among non-English speaking groups may be impacted by cultural factors related to time perception and the testing approach employed, leading to misinterpretation and misdiagnosis. Future studies should explore the fairness of various cognitive testing approaches with Haitian older adults and other societies with cultures and educational approaches different from those of Western cultures.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"12 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11736698/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143019086","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}
Adenike Omomukuyo, Andy Ramirez, Aliyah Davis, Alexandra Velasquez, Adriana L Najmabadi, Marianna Kong, Rachel Willard-Grace, William Brown, Andrew Broderick, Karla Suomala, Charles E McCulloch, Nora Franco, Urmimala Sarkar, Courtney Lyles, Amber S Tran, Anjana E Sharma, Delphine S Tuot
{"title":"Achieving Chronic Care Equity by Leveraging the Telehealth Ecosystem (ACCTIVATE): A Multilevel Randomized Controlled Trial Protocol.","authors":"Adenike Omomukuyo, Andy Ramirez, Aliyah Davis, Alexandra Velasquez, Adriana L Najmabadi, Marianna Kong, Rachel Willard-Grace, William Brown, Andrew Broderick, Karla Suomala, Charles E McCulloch, Nora Franco, Urmimala Sarkar, Courtney Lyles, Amber S Tran, Anjana E Sharma, Delphine S Tuot","doi":"10.18103/mra.v12i11.6087","DOIUrl":"10.18103/mra.v12i11.6087","url":null,"abstract":"<p><strong>Background: </strong>Racial/ethnic and socioeconomic disparities in diabetes and hypertension outcomes persist in the United States (U.S.), and worsened during the COVID-19 pandemic. This was in part due to suboptimal implementation of telehealth in U.S. safety-net settings alongside the pre-existing \"digital divide\" - structural determinants that limit access to digital tools by marginalized communities. To improve health equity, it is critical that health systems in the U.S. integrate principles of digital and health literacy for more equitable chronic disease care.</p><p><strong>Methods: </strong>We are conducting a 2x2 factorial randomized controlled trial, in partnership with a Community Advisory Board, assessing a multi-level intervention addressing barriers that affect the equitable use of telehealth amongst low-income patients in San Francisco County. Patient-level support is provided through the evidence-based strategies of health coaching and digital navigation (\"digital coaching\"); clinic-level support includes equity dashboards, patient advisory councils, and practice facilitation. We are randomizing 600 low-income, racially/ethnically diverse English and Spanish-speaking patients with uncontrolled diabetes to receive digital coaching (n=200) vs. usual care (n=400) for 3 months; and 11 public health primary care clinics to clinic support vs. usual care for 24 months. We aim to evaluate the impact of patient and clinic level interventions to determine individual effectiveness and potential synergistic impact on clinical and process measures related to diabetes and telehealth outcomes.</p><p><strong>Results: </strong>The study's primary clinical outcome is change in patient-level Hemoglobin A1C (A1c); the primary process outcome is patient portal usage. Secondary clinical outcomes include changes in patient-level systolic blood pressure (SBP) and microalbuminuria (UACR), and changes in clinic-level A1c, SBP, and UACR. Secondary process outcomes assess patient-level changes in digital literacy, medication adherence, patient activation, and visit show rates, and clinic-level measures of telehealth adoption.</p><p><strong>Discussion: </strong>The ACCTiVATE trial tests a multi-level intervention developed through a stakeholder-engaged research approach and user-centered design to be feasible and acceptable for impacted communities. If efficacious, ACCTiVATE may provide a scalable model to improve chronic health outcomes and telehealth equity among marginalized racial/ethnic populations experiencing structural and interpersonal access barriers.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov identifier NCT06598436. Registered 15 September 2024.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"12 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11646453/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142831590","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}
Iben Ricket, Michael E Matheny, Ruth M Reeves, Rashmee U Shah, Christine A Goodrich, Glenn Gobbel, Meagan E Stabler, Amy M Perkins, Freneka Minter, Chad Dorn, Bruce E Bray, Lee Christensen, Ramkiran Gouripeddi, John Higgins, Wendy W Chapman, Todd MacKenzie, Jeremiah R Brown
{"title":"Augmenting the Hospital Score with social risk factors to improve prediction for 30-day readmission following acute myocardial infarction.","authors":"Iben Ricket, Michael E Matheny, Ruth M Reeves, Rashmee U Shah, Christine A Goodrich, Glenn Gobbel, Meagan E Stabler, Amy M Perkins, Freneka Minter, Chad Dorn, Bruce E Bray, Lee Christensen, Ramkiran Gouripeddi, John Higgins, Wendy W Chapman, Todd MacKenzie, Jeremiah R Brown","doi":"10.18103/mra.v12i11.6089","DOIUrl":"10.18103/mra.v12i11.6089","url":null,"abstract":"<p><strong>Background: </strong>Hospital Score is a well-known and validated tool for predicting readmission risk among diverse patient populations. Integrating social risk factors using natural language processing with the Hospital Score may improve its ability to predict 30-day readmissions following an acute myocardial infarction.</p><p><strong>Methods: </strong>A retrospective cohort included patients hospitalized at Vanderbilt University Medical Center between January 1, 2007, and December 31, 2016, with a primary index diagnosis of acute myocardial infarction, who were discharged alive. To supplement ascertainment of 30-day readmissions, data were linked to Center for Medicare & Medicaid Services (CMS) administrative data. Clinical notes from the cohort were extracted, and a natural language processing model was deployed, counting mentions of eight social risk factors. A logistic regression prediction model was run using the Hospital Score composite, its component variables, and the natural language processing-derived social risk factors. ROC comparison analysis was performed.</p><p><strong>Results: </strong>The cohort included 6,165 unique patients, where 4,137 (67.1%) were male, 1,020 (16.5%) were Black or other people of color, the average age was 67 years (SD: 13), and the 30-day hospital readmission rate was 15.1% (N=934). The final test-set AUROCs were between 0.635 and 0.669. The model containing the Hospital Score component variables and the natural language processing-derived social risk factors obtained the highest AUROC.</p><p><strong>Discussion: </strong>Social risk factors extracted using natural language processing improved model performance when added to the Hospital Score composite. Clinicians and health systems should consider incorporating social risk factors when using the Hospital Score composite to evaluate risk for readmission among patients hospitalized for acute myocardial infarction.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"12 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11788934/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143191660","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}
Gabrielle M Robbins, Young Y Vue, Eric P Rahrmann, Branden S Moriarity
{"title":"Osteosarcoma: A comprehensive review of model systems and experimental therapies.","authors":"Gabrielle M Robbins, Young Y Vue, Eric P Rahrmann, Branden S Moriarity","doi":"10.18103/mra.v12i11.6000","DOIUrl":"10.18103/mra.v12i11.6000","url":null,"abstract":"<p><p>Osteosarcoma (OSA) is a highly malignant bone tumor for which more than 50% of patients have or will develop metastatic disease, resulting in an abysmal 5-year survival rate of <29%. Despite the advances in science and medicine, the etiology of OSA remains unclear. Similarly, the standard of care (surgery and chemotherapy) has changed little in the past 5 decades. This stagnation in treatment options is in part due to inadequate preclinical models for OSA; many of these models are oversimplified and do not account for the complexities of patient disease. Further, current treatments are harsh and invasive (e.g. high dose chemotherapy and potential limb removal) leading to a reduction in a patient's quality of life (e.g. hearing loss, infertility, neuropathy), highlighting a need for developing more effective treatment strategies. Many experimental therapies have been tested in the preclinical and preclinical setting, with varying degrees of success. In this review, we will focus on pediatric and adolescent OSA, highlighting current animal models and experimental therapies.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"12 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11801376/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367167","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}
Lunthita M Duthely, Rachel Mpanumpanu, Isabel Maldonado, Beverly Goldsmith, Isabelle I M Akinyemiju, Yulie Lugo, Elena Cyrus
{"title":"Could Provider Bias Play a Role in Gynecological Health, Sexual Health and Gynecological Cancer Disparities Observed Among a Cohort of Non-English-Speaking Women with HIV living in Southern Florida?","authors":"Lunthita M Duthely, Rachel Mpanumpanu, Isabel Maldonado, Beverly Goldsmith, Isabelle I M Akinyemiju, Yulie Lugo, Elena Cyrus","doi":"10.18103/mra.v12i11.6056","DOIUrl":"https://doi.org/10.18103/mra.v12i11.6056","url":null,"abstract":"<p><p>As part of an ongoing, prospective study developing an HIV adherence and engagement intervention for women in Southern Florida, we abstracted baseline demographic, psychosocial and medical history data charted in the participants' electronic medical records. Several differences were observed, in terms of documentation of gynecological and sexual and health data by patients' linguistic preference. The purpose of this quantitative, retrospective study was to test the differences of data documentation by linguistic group and comment on the findings.</p>","PeriodicalId":94137,"journal":{"name":"Medical research archives","volume":"12 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999243/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144036293","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}