Women and Kidney Disease: A Twitter Conversation for One and All
Bibliographic record
Abstract
Social media are gaining prominence as a platform for nephrologists to highlight new research findings, share clinically relevant cases, and encourage communication with colleagues.1Colbert G.B. Topf J. Jhaveri K.D. et al.The social media revolution in nephrology education.Kidney Int Rep. 2018; 3: 519-529Google Scholar Kidney International Reports (KI Reports) recently created a Twitter account (@KIReports) to further expand our social presence, engage current readers, and expand readership by posting recent articles and important findings. In support of 2018 World Kidney Day (WKD), KI Reports published several review articles related to the chosen theme for this year, “Kidneys & Women’s Health”: Acute Kidney Injury in Pregnancy: The Changing Landscape for the 21st Century, by Rao et al., and Glomerular Disease in Women, by Wiles et al.2Rao S. Jim B. Acute kidney injury in pregnancy: the changing landscape for the 21st century.Kidney Int Rep. 2018; 3: 247-257Google Scholar, 3Wiles K. Lightstone L. Glomerular disease in women.Kidney Int Rep. 2018; 3: 258-270Scopus (3) Google Scholar The KI Reports editorial team also participated in the WKD Twitter chat, moderated by the WKD team (via Twitter handle @worldkidneyday), which is a joint venture of the International Society of Nephrology (ISN) and The International Federation of Kidney Foundations (IFKF) (Figure 1). On March 7, 2018, a total of 145 individuals from around the globe logged onto their Twitter accounts and joined the conversation by using hashtag #WKDchat in their posts, or “tweets.” The real-time, 1-hour online discussion provided an even playing field for a diverse group of advocates to express the need for improved awareness, support, treatment, and outcomes in women with kidney disease and related conditions. Participants included physicians, patients, editors, medical societies, policy directors, and nutritional scientists, both men and women, from more than 30 countries, predominantly in the Americas, Europe, and Asia. The discussion included the topics of pregnancy and fertility, raising awareness, unique challenges for women, preventive behaviors, and challenges/worries. The participants’ tweets were seen by nearly 200,000 users, reaching a grand total of 1.4 million Twitter feeds. Some hashtags used during the chat aimed to bring attention to related conditions and comorbidities, and included #lupus, #CKD (chronic kidney disease), #pregnancy, and #FSGS (focal segmental glomerulosclerosis). Clinicians voiced challenges to treating women with kidney disease, including:•Preeclampsia and pregnancy-related complications•Diagnosis and treatment of CKD impacts on contraception, pregnancy, and the fetus, including premature birth/low birth weight in newborns•Urinary tract infections due to poor access to clean conditions in rural India•Little attention paid to women’s health in some developing regions Patients with kidney disease expressed the challenges they face, including:•Stigma associated with kidney disease that can cause poor self-image (Figure 2)•Fear of rejection after kidney transplantation•Fear of health risks during pregnancy•Infertility KI Reports tweeted several relevant articles from the current issue to bring attention to recent publications focused on preeclampsia, diagnosis of CKD in women, acute kidney injury in pregnancy, and glomerular disease in women. Clinicians suggested the following resources to improve prognosis, diagnosis, and treatment:•Early screening and diagnosis of CKD•Early conversations with physician and partner (Figure 3)•Improved health care systems and finances•More recent clinical studies•Disease registry•Peer-to-peer support•Patient-to-patient support Participants agreed that the medical community should continue to raise awareness of these very important problems specific to women with kidney disease. In the next Twitter discussion and those in years to come, the ISN looks not only to increase participation by patients and clinicians, but to attract involvement of health care administrators and policy makers as well—the goal being to improve kidney disease prevention and treatment in women by bringing further awareness to the institutions that govern health care access. As for KI Reports, we will continue to look for meaningful ways on social media to engage with the nephrology community, both nephrologists and patients. The Social Media Revolution in Nephrology EducationKidney International ReportsVol. 3Issue 3PreviewThe past decade has been marked by the increasing use of social media platforms, often on mobile devices. In the nephrology community, this has resulted in the organic and continued growth of individuals interested in using these platforms for education and professional development. Here, we review several social media educational resources used in nephrology education and tools including Twitter, videos, blogs, and visual abstracts. We will also review how these tools are used together in the form of games (NephMadness), online journal clubs (NephJC), interactive learning (GlomCon), and digital mentorship (Nephrology Social Media Collective [NSMC] Internship) to build unique educational experiences that are available globally 24 hours per day. Full-Text PDF Open AccessGlomerular Disease in WomenKidney International ReportsVol. 3Issue 2PreviewGender differences exist in the prevalence of glomerular diseases. Data based on histological diagnosis underestimate the prevalence of preeclampsia, which is almost certainly the commonest glomerular disease in the world, and uniquely gender-specific. Glomerular disease affects fertility via disease activity, the therapeutic use of cyclophosphamide, and underlying chronic kidney disease. Techniques to preserve fertility during chemotherapy and risk minimization of artificial reproductive techniques are considered. Full-Text PDF Open AccessAcute Kidney Injury in Pregnancy: The Changing Landscape for the 21st CenturyKidney International ReportsVol. 3Issue 2PreviewPregnancy-related acute kidney injury (Pr-AKI) remains a large public health problem, with decreasing incidences in developing countries but seemingly increasing incidences in the United States and Canada. These epidemiologic changes are reflective of the advances in medical and obstetric care, as well as changes in underlying maternal risk factors. The risk factors associated with advanced maternal age, such as hypertension, diabetes, chronic kidney disease, and those associated with reproductive technologies such as multiple gestations, are increasing. Full-Text PDF Open Access
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".