Big Data and Women’s Health
Advanced Research and Data Methods in Women’s Health Big Data Analytics, Adaptive Studies and the Road Ahead (Macedonia, Christian et al, 2017)
https://journals.lww.com/greenjournal/Abstract/2017/02000/Advanced_Research_and_Data_Methods_in_Women_s.4.aspx
Provides insight into the potential and limitation of big data and advanced data methods, and their role in advancing women’s health care.

Tackling poorly selected, collected, and reported outcomes in obstetrics and gynecology research. (Duffy et al, 2018)
https://www.ncbi.nlm.nih.gov/pubmed/30273584
Argues for the development and implementation of core outcome sets to standardize outcome selection, collection and reporting in order to improve randomized control trials and ensure they inform clinical practice, enhance patient care and improve patient outcomes.

Difference or disparity: Will Big Data Improve Our Understandin of Sex and Cardiovascular Disease? (Joynt, Mega and O’Donoghue, 2015)
https://www.ahajournals.org/doi/abs/10.1161/CIRCOUTCOMES.115.001701
Insights extracted from the merging of clinical records, clinical trial and genomic data may help to answer if the difference in clinical outcomes based on sex are due to biological difference or treatment disparities.

The Power and Pitfalls of Big Data Research in Obstetrics and Gynecology: A Consumer’s Guide (Gooden et al. 2017)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5704657/
Learning activity for practitioners for conducting and interpreting OB GYN observational data research.

Pharma: ADE/Efficacy/Pharmacokinetics
Effects of Antipsychotics on Bone Mineral Density in Patients with Schizophrenia: Gender Differences (Chen, Lane and Lin, 2016)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977815/
Found gender differences for risk factors associated low bone mineral density in patients with schizophrenia

Systematic Analysis of Adverse Event Reports for sex Differences in Adverse Drug Events (Yu et al, 2016)
https://www.nature.com/articles/srep24955
Systematic analysis of sex differences of ADEs from FAERS for the top 20 long-term treatments found sex difference in 307 drugs, with 266 drug-event combinations having significant sex differences

Adverse Drug Reactions in Women’s Health Care (Tharpe, 2011)
https://onlinelibrary.wiley.com/doi/full/10.1111/j.1542-2011.2010.00050.x
Review of physiologic mechanisms and manifestations of ADRs in medications often prescribed to women.

Possible gene-gender interaction between the SLCO1B1 polymorphism and statin treatment efficacy (Hubacek et al, 2012)
http://www.nel.edu/userfiles/articlesnew/NEL330812A05.pdf
Pilot study that found possible gender dependent effects on a gene variant on statin efficacy.

Pharmacokinetics of Drugs in Pregnancy (Feghali, Venkataramanan and Caritis, 2015)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4809631/
Review of basic concepts in pharmacokinetics, their clinical relevance, and highlights of the variations in pregnancy that may impact the pharmacokinetic properties of medications.

Long-term use of thiazolidinediones and fractures in type 2 diabetes: a meta-analysis. (Loke, Singh and Furberg,2008)
https://www.ncbi.nlm.nih.gov/pubmed/19073651
Study found long term use of thiazolidinediones doubled the risk of fractures among women with no significant increase in the risk of fractures for men.

Autism
Taking Stock of Critical Clues to Understanding Sex Differences in the Prevalence and Recurrence of Autism (Constantino 2017)
https://pubmed.ncbi.nlm.nih.gov/28595452-taking-stock-of-critical-clues-to-understanding-sex-differences-in-the-prevalence-and-recurrence-of-autism/
Brief review of current state of research in the sex differences in the prevalence, severity and detection of autism spectrum disorder.

Towards Understanding the Under-Recognition of Girls and Women on the Autism Spectrum (Gould, 2017)
https://pubmed.ncbi.nlm.nih.gov/28749237-towards-understanding-the-under-recognition-of-girls-and-women-on-the-autism-spectrum/
Postulates three possible questions to address the under diagnosis of females with ASD.

Asthma
Asthma is Different in Women (Zein and Erzurum, 2015)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4572514/
Review of evidence supporting gender effects on asthma incidence and severity, with increased prevalence and severity in women after puberty.

Role of Gender and Hormone-Related Events on IgE, Atopy, and Eosinophils in the Epidemiological Study on the Genetics and Environment of Asthma, Bronchial Hyperresponsiveness and Atopy (Siroux et al, 2004)
https://pubmed.ncbi.nlm.nih.gov/15356546/
Looks at the roles and gender specific strength of association of asthma to markers of allergy to asthma.

Mechanisms Driving Gender Differenced in Asthma (Fuseini and Newcomb, 2017)
https://pubmed.ncbi.nlm.nih.gov/28332107/
Review of clinical studies that define the role of sex hormones in inflammation and mechanincs associated with asthma finding that ovarian hormone increase and testosterone decreased airway inflammation.

Gender-specific determinants of asthma among U.S. adults (Greenblatt et al, 2017)
https://asthmarp.biomedcentral.com/articles/10.1186/s40733-017-0030-5
Regression analysis of BRFAA and NHANES data finding the asthma risk factors of obesity and smoking impact women more strongly than men.

Asthma & pregnancy
Asthma Outcomes and Management During Pregnancy (Bonham, Patterson and Strek, 2018)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815874/
Reviews recent research showing the importance of management of asthma during pregnancy to prevent short and long term risks to the mother and fetus.

Reproductive health
Hypoxia and Hypoxia Inducible factor-1α are Required for Normal Endometrial Repair During Menstruation (Maybin et al, 2018)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780386/
Study found an important role for hypoxia and HIF-1 in menstrual physiology, suggesting the potential for a therapeutic option in treatment of heavy menstrual bleeding.

Reduced Transforming Growth Factor-β Activity in the Endometrium of Women With Heavy Menstrual Bleeding (maybin et al, 2017)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5460733/
Study found decreased premenstrual TGF-B1 and SMAD in women with heavy menstrual bleeding, indicating women with HMB may benefit from therapies that increase TGF-B1 during menses.

Steroids Regulate CXCL4 in the Human Endometrium During Menstruation to Enable Efficient Endometrial Repair (Maybin et al, 2017)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470763/
Aberrant expressions of CXCL4 may contribute to delayed endometrial repair and HMB as CXCL4 was found by the data to play a part in endometrial repair after menses.

Endometrial Stem Cell Markers: Current Concepts and Unresolved Questions (Tempest, Maclean and Hapangama, 2018)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214006/
Review appraising postulated markers that could be used to identify endometrial stem cells and the evidence supporting the existence of epithelial stem cell in the human endometrium.

Cardiovascular Disease
Sex gender bias in the management of chest pain in ambulatory care (Liaudat, C et al, 2018)
https://journals.sagepub.com/doi/full/10.1177/1745506518805641
Study of patients (672) presenting with chest pain found sex based difference in their follow up care including men being 2- 3 times more likely to be referred to a cardiologist for follow up care.

Gender differences in coronary heart disease (Kharnis, R et al 2016)
https://heart.bmj.com/content/102/14/1142.short
Educational article for practitioners describing the differences in presentation, clinical characteristics and outcomes between genders.

Gender bias in clinical decision making emerges when patients with coronary heart disease symptoms also have psychological symptoms (Biddle, C et al. 2019)
https://www.sciencedirect.com/science/article/pii/S0147956318303054
Detected bias among medical student in assessing CHD risk when patient was female and experiencing psychological symptoms

Sex Disparity in Cardiovascular Disease and Cognitive Impairment : Another Health Disparity for Women (Volgman, AS et al, 2019)
https://www.ahajournals.org/doi/full/10.1161/JAHA.119.013154
A summary of topics and sex-specific issues about differenced in CVD to help explain the increased prevalence of CI and dementia in women.

Gender Balance in Cardiovascular Research: Importance to Women’s Health (Dougherty, 2011)
https://pubmed.ncbi.nlm.nih.gov/21494523-gender-balance-in-cardiovascular-research-importance-to-womens-health/
Examines the reasons for the lack of improvement in mortality trends for women with CVD with recommendations for reversing the trend.

The Gender Impact on Morphogenetic Variability in Coronary Artery Disease: A Preliminary Study (Karan et al, 2018)
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977142/
Preliminary investigation finding a potential genetic predisposition for CAD and a significant difference in the degree of recessive homozygosity between genders.

Other
Patterns and Variability of Endocrine-disrupting Chemicals During Pregnancy: Implications for Understanding the Exposome of Normal Pregnancy (Louis et al, 2019)
https://pubmed.ncbi.nlm.nih.gov/31569155/
Study assessed the feasibility of measuring EDC level changes over pregnancy finding many EDCs are not level throughout pregnancy.

Sex/gender Disparities and Women’s Eye Health (Clayton and Davis, 2015)
https://pubmed.ncbi.nlm.nih.gov/25548854-sexgender-disparities-and-womens-eye-health/
Review of various eye conditions and the disparity in prevalence between men and women highlighting the needs for research and data to find the underlying causes for the disparities.

Data Engineering for Machine Learning in Woman’s Imaging and Beyond (Cui et al, 2019)
https://www.ajronline.org/doi/10.2214/AJR.18.20464
Focusing on women’s imaging, discusses the core components of data preparation for machine learning and the role for radiologist and pathologists to help create useful and unbiased datasets.

Gender differences in Parkinson’s disease depression (Perrin et al, 2016)
https://www.sciencedirect.com/science/article/pii/S1353802016305193
Found different symptoms in men and women that were useful in partitioning depressed from non-depressed patients