Article
Public, Environmental & Occupational Health
Eleni-Rosalina Andrinopoulou, Michael O. Harhay, Sarah J. Ratcliffe, Dimitris Rizopoulos
Summary: Personalized prediction is a key component in clinical medicine and decision making, allowing for dynamic adjustments to patient prognosis based on available information. Joint models can enhance individual predictions and improve accuracy, while resources and measures provided in this article support the development and evaluation of dynamic risk predictions.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
(2021)
Article
Multidisciplinary Sciences
Eman Ahmed El-Attar, Tamer A. Hosny, Kiyoshi Ichihara, Rania N. Bedair, Ahmed Salah El-Din Tork
Summary: This study aimed to investigate the age-dependent decline of AMH in Egyptian females and establish age-specific reference intervals and nomogram for clinical practice in reproductive medicine. The results showed a strong negative correlation between AMH and female age, providing valuable reference for fertility workups. Additionally, a more accurate nomogram was constructed to accommodate a wide age range and improve usability.
Article
Biochemistry & Molecular Biology
Bumhee Yang, Dong-Hwa Lee, Kyungdo Han, Hayoung Choi, Hyung Koo Kang, Dong Wook Shin, Hyun Lee
Summary: A population-based retrospective cohort study in South Korea found that female reproductive factors are associated with the risk of bronchiectasis, with shorter endogenous oestrogen exposure periods showing a higher risk of developing the condition.
Article
Endocrinology & Metabolism
Congcong Ma, Huiyu Xu, Haiyan Wang, Guoshuang Feng, Yong Han, Kannan Alpadi, Rong Li, Jie Qiao
Summary: Mathematical models using early Delta inhibin B and other biomarkers can predict ovarian response in controlled ovarian stimulation. Early Delta inhibin B and basal antimullerian hormone (AMH) levels were the best measures for predicting excessive and poor ovarian responses. These models may help in counseling patients and reducing iatrogenic poor or excessive ovarian responses.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Oncology
Volkan Turan, Matteo Lambertini, Dong-Yun Lee, Erica Wang, Florian Clatot, Beth Y. Karlan, Isabelle Demeestere, Heejung Bang, Kutluk Oktay
Summary: The study found that young women with germline BRCA pathogenic variants, especially those affected and with BRCA1, have lower serum AMH levels compared to controls. This suggests they may need more counseling regarding the possibility of a shortened reproductive lifespan due to diminished ovarian reserve.
JOURNAL OF CLINICAL ONCOLOGY
(2021)
Article
Obstetrics & Gynecology
Lia A. Bernardi, Anne Waldo, Veronica J. Berrocal, Lauren A. Wise, Erica E. Marsh
Summary: The study evaluated the association between uterine fibroids and anti-mullerian hormone (AMH) concentrations. The results showed that, apart from a monotonic inverse relationship between fibroid number and AMH concentrations, other fibroid characteristics were not significantly associated with AMH concentrations.
FERTILITY AND STERILITY
(2022)
Article
Mathematical & Computational Biology
Fan Shen, Liang Li
Summary: This paper presents an alternative method for modeling the joint distribution of longitudinal and time-to-event data, which is particularly suitable for dynamic prediction problems with a large number of longitudinal predictors. The proposed methodology uses a combination of pseudo maximum likelihood estimation, Expectation-Maximization algorithm, and convex optimization to achieve tractable and stable computation for model fitting. Evaluation of the methodology and its predictive accuracy is conducted using simulations and data from a primary biliary cirrhosis study with varying numbers of longitudinal variables.
STATISTICS IN MEDICINE
(2021)
Article
Construction & Building Technology
Yanxiao Feng, Julian Wang, Nan Wang, Chenshun Chen
Summary: This paper presents an innovative alert-based occupant-responsive framework for capturing individualized thermal comfort-related data and predicting individualized thermal preference by leveraging wearable sensors and computing technologies. The developed system also highlights the role of alerting functions in the automatic collection of subjective user data and facilitating smart building integration.
BUILDING AND ENVIRONMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Baoshan Liang, Jingye Tan, Luke Lozenski, David A. Hormuth, Thomas E. Yankeelov, Umberto Villa, Danial Faghihi
Summary: This study introduces a Bayesian framework to reliably predict the future spread of brain tumors using MRI data. The framework calibrates the spatial distribution of tumor growth model parameters based on quantitative MRI measurements and leverages subject-specific priors and tunable spatial dependencies. Results show that the calibrated tumor model can accurately predict tumor shapes, but the reliability of predicted tumor volume and shape depends on the number of earlier imaging time points used for calibration.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Obstetrics & Gynecology
Jichan Nie, Chenyan Zhao, Antonio Simone Lagana, Xishi Liu, Sun-Wei Guo
Summary: A study on ovarian endometriomas found that the extent of lesional fibrosis is positively correlated with dysmenorrhea severity, while cortical fibrosis is negatively correlated with AMH levels. Early intervention is crucial in preventing pain and diminished ovarian reserve.
FERTILITY AND STERILITY
(2022)
Article
Medicine, General & Internal
Chunxia Li, Ke Zhao, Dafu Zhang, Xiaolin Pang, Hongjiang Pu, Ming Lei, Bingbing Fan, Jiali Lv, Dingyun You, Zhenhui Li, Tao Zhang
Summary: In this study, prognostic prediction models for colorectal cancer (CRC) were constructed to assess the impact of preoperative and postoperative measurements of tumor markers on model performance. The results showed that repeated measurements of CEA, CA19-9, and CA125 before and after surgery can improve the accuracy of prognosis prediction, and it is recommended to use these markers in the surveillance of CRC prognosis.
Review
Endocrinology & Metabolism
Hamidreza Raeisi-Dehkordi, Stefanie Kummer, Peter Francis Raguindin, Gordana Dejanovic, Petek Eylul Taneri, Isabel Cardona, Lum Kastrati, Beatrice Minder, Trudy Voortman, Pedro Marques-Vidal, Klodian Dhana, Marija Glisic, Taulant Muka
Summary: This study aimed to summarize risk prediction models of natural menopause onset and their performance. A total of 14 articles based on 8 unique studies were included, covering 9588 women and 3289 natural menopause events. Age, anti-Mullerian hormone, and follicle-stimulating hormone were the most investigated predictors. The predictive performance of the models ranged from 0.62 to 0.95. Although the models had limitations, they may still be useful in certain settings.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Obstetrics & Gynecology
Catherine Kim, Eli Puterman, Lifang Hou, James C. Slaughter, James G. Terry, Melissa F. Wellons
Summary: This study aimed to investigate the association between serum antimullerian hormone (AMH) and leukocyte aging biomarkers. The study found that in a population-based cohort, AMH was not associated with leukocyte telomere length or intrinsic epigenetic age acceleration.
FERTILITY AND STERILITY
(2022)
Article
Mathematics, Applied
Abin Thomas, Gajendra K. Vishwakarma, Atanu Bhattacharjee
Summary: The study discusses the underutilization of methodological advancements in multivariate joint modeling in omics analysis, and focuses on establishing the relationship between longitudinal biomarkers and relapse duration using this method. It also highlights the importance of multivariate joint model fitting and validation in capturing and predicting disease-free survival duration with multiple longitudinal biomarkers. The study recommends the use of a multivariate joint model fit to gain a broader perspective on the association between multiple biomarkers and relapse duration.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2021)
Article
Mathematical & Computational Biology
Wenhao Li, Liang Li, Brad C. Astor
Summary: Joint modeling and landmark modeling are two mainstream approaches to dynamic prediction in longitudinal studies. It is important to understand which approach can produce more accurate prediction. Previous studies favored joint modeling, but they were limited to simulated data due to methodological difficulties. This paper solves this problem by generating longitudinal and survival data that satisfies the assumptions of landmark models. The simulation results show that the performance of these two modeling approaches depends on the data settings.
STATISTICS IN MEDICINE
(2023)
Article
Endocrinology & Metabolism
Ladan Mehran, Negar Delbari, Atieh Amouzegar, Mitra Hasheminia, Maryam Tohidi, Fereidoun Azizi
Summary: Recently, reduced sensitivity to thyroid hormone has become more common in the general population and is thought to be associated with metabolic parameters. This study found that TFQI, a new index for thyroid hormone resistance, is significantly associated with high blood pressure and diabetes in euthyroid subjects. However, caution is needed when interpreting the results for diabetes, and further studies are necessary.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Article
Endocrinology & Metabolism
Mahsa Sardarinia, Samaneh Asgari, Reyhane Hizomi Arani, Fatemeh Eskandari, Fereidoun Azizi, Davood Khalili, Farzad Hadaegh
Summary: The study found that 1.36% of Iranians with type 2 diabetes mellitus developed severe-NPDR/PDR annually. Risk factors for severe-NPDR/PDR included normal bodyweight, being a smoker, out of target fasting plasma glucose level, prehypertension, and newly diagnosed hypertension. Male patients and those with 6-12 years of education also had certain risks associated with developing PDR.
JOURNAL OF DIABETES INVESTIGATION
(2022)
Article
Endocrinology & Metabolism
M. Farahmand, M. Bahri Khomamid, M. Rahmati, F. Azizi, F. Ramezani Tehrani
Summary: The study found that menopause alters the impact of aging on central fat distribution. Increasing awareness of the related risks in menopausal women and their healthcare professionals may help prevent adverse outcomes.
JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION
(2022)
Review
Endocrinology & Metabolism
A. Amouzegar, E. N. Pearce, L. Mehran, J. Lazarus, M. Takyar, F. Azizi
Summary: Studies suggest that maternal thyroid autoimmunity may have adverse effects on the neuropsychological and intellectual development of offspring, however, results are inconsistent. Variations in the tools and measurements used to assess neurodevelopment or IQ across studies may contribute to the lack of consensus in findings.
JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION
(2022)
Article
Psychology, Developmental
Sara Jalali-Farahani, Parisa Amiri, Fariba Zarani, Fereidoun Azizi
Summary: This study used qualitative methods to explore the perceptions of Iranian adolescents regarding their bodies, focusing on the psychological aspects that contribute to their body image perceptions. The findings revealed various beliefs, body evaluations, emotions, and behaviors among the participants.
CHILD PSYCHIATRY & HUMAN DEVELOPMENT
(2023)
Article
Endocrinology & Metabolism
Hossein Farhadnejad, Farshad Teymoori, Golaleh Asghari, Ebrahim Mokhtari, Parvin Mirmiran, Fereidoun Azizi
Summary: This study found an inverse association between a healthy lifestyle score and the risk of type 2 diabetes.
BMC ENDOCRINE DISORDERS
(2022)
Article
Biochemistry & Molecular Biology
Mahdieh Golzarand, Parvin Mirmiran, Fereidoun Azizi
Summary: This study investigated the association between MIND diet adherence and the risk of cardiovascular disease in adults. The results showed that each increase in MIND diet score reduced the incidence of CVD by 16%. The study also found an inverse association between the consumption of whole grains, green leafy vegetables, and beans and the risk of CVD.
Article
Multidisciplinary Sciences
Parvin Mirmiran, Firoozeh Hosseini-Esfahani, Zohreh Esfandiar, Somayeh Hosseinpour-Niazi, Fereidoun Azizi
Summary: Cardiovascular disease is the leading cause of death worldwide, and inflammation and enhanced oxidative stress are key risk factors. Sufficient intake of antioxidants, especially vitamin E, may help in preventing CVD.
SCIENTIFIC REPORTS
(2022)
Article
Cardiac & Cardiovascular Systems
Marzieh Saei Ghare Naz, Ali Sheidaei, Ali Aflatounian, Fereidoun Azizi, Fahimeh Ramezani Tehrani
Summary: This study aimed to investigate whether adding adverse pregnancy outcomes (APOs) to the Framingham risk score improves the prediction of cardiovascular disease (CVD) events in women. The results showed that adding APOs can improve the accurate risk estimation of CVD beyond established risk factors, and women with a history of multiple APOs are at higher risk of experiencing CVD events.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2022)
Article
Medicine, Research & Experimental
Mahdi Akbarzadeh, Nadia Alipour, Hamed Moheimani, Asieh Sadat Zahedi, Firoozeh Hosseini-Esfahani, Hossein Lanjanian, Fereidoun Azizi, Maryam S. Daneshpour
Summary: This study compared different machine learning classification methods in predicting the status of metabolic syndrome and identifying influential factors. The findings showed that machine learning models outperformed conventional statistical approaches and can be used to identify individuals at high risk of developing metabolic syndrome.
JOURNAL OF TRANSLATIONAL MEDICINE
(2022)
Article
Nutrition & Dietetics
Zahra Bahadoran, Parvin Mirmiran, Reza Norouzirad, Asghar Ghasemi, Fereidoun Azizi
Summary: The study found that the salt intake among the Iranian population generally exceeded the current recommendations, with the Tanaka equation providing a more accurate estimation method.
NUTRITION & METABOLISM
(2022)
Article
Nutrition & Dietetics
Somayeh Hosseinpour-Niazi, Parvin Mirmiran, Farzad Hadaegh, Maryam S. Daneshpour, Mehdi Hedayati, Fereidoun Azizi
Summary: Replacing one serving of red meat with legumes in the DASH diet at least five days a week could improve inflammatory markers in individuals with type 2 diabetes, regardless of their rs7903146 risk allele status.
NUTRITION & METABOLISM
(2022)
Article
Genetics & Heredity
Mahdi Akbarzadeh, Parisa Riahi, Goodarz Kolifarhood, Hossein Lanjanian, Nadia Alipour, Leila Najd Hassan Bonab, Mohammad Reza Moghadas, Siamak Sabour, Fereidoun Azizi, Maryam S. Daneshpour
Summary: This study utilized epistasis analysis to explore the genetic basis of hypertension, uncovering a novel interaction effect between the AGT and ZBED9 genes, which sheds light on the role of ZBED9 in blood pressure regulation.
Article
Nutrition & Dietetics
Parnian Parvin, Parisa Amiri, Hasti Masihay-Akbar, Mahnaz Khalafehnilsaz, Leila Cheraghi, Arash Ghanbarian, Fereidoun Azizi
Summary: This study examined the long-term effectiveness of a multi-setting lifestyle intervention on leisure-time physical activity (LTPA) in Iranian adolescents. The findings indicated that early intervention had a positive impact on LTPA in boys, emphasizing the importance of gender and intervention timing. The results provide valuable insights for tailored interventions and improving community health.
INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
(2022)
Correction
Medicine, General & Internal
Layal Chaker, Salman Razvi, Isabela M. Bensenor, Fereidoun Azizi, Elizabeth N. Pearce, Robin P. Peeters
NATURE REVIEWS DISEASE PRIMERS
(2022)