The Second International Workshop on the Evaluation and Management of Hypoparathyroidism
Bibliographic record
Abstract
Over the past several years, following publication of the First International Guidelines on Hypoparathyroidism (HypoPT), important advances have occurred in our understanding of the epidemiology, presentation, etiology, complications, and skeletal and renal manifestations of HypoPT.(1) We have also gained global clinical experience with both conventional therapy and the use of parathyroid hormone (PTH) and its analogues in the treatment of HypoPT. Good-quality data with PTH replacement therapy are now becoming available, evaluating both the safety and efficacy of PTH replacement in the management of chronic HypoPT. With the development of new, long-acting molecules capable of mimicking key aspects of endogenous PTH secretion, improvements in care are being achieved. Considering these significant advances in knowledge and clinical experience, new evidence-based guidelines have been developed to provide direction and to define best practice in the diagnosis, evaluation, and management of HypoPT today. An international task force was formed consisting of 50 international experts in HypoPT, as well as general endocrinologists from 15 different countries. Task force members met over the past 2 years and addressed key questions pertaining to the diagnosis, prevention, evaluation, and management of HypoPT. Professor Gordon Guyatt supported the development of the evidence-based guidelines and served as the guideline methodologist with his PhD student Liang Yao. Four systematic reviews and meta-analyses were completed using the GRADE methodology, addressing the complications and management of chronic HypoPT.(2-4) In addition, narrative reviews were completed regarding the epidemiology, financial burden, and etiology of HypoPT.(5, 6) The diagnosis and risk factors for the development of postsurgical HypoPT were reviewed. Strategies to minimize the risk of postsurgical HypoPT are presented.(6) The role of genetic testing in determining the underlying etiology of the HypoPT has been highlighted, as well as an approach to establishing the underlying diagnosis.(7) The ideal monitoring strategies for patient important outcomes were evaluated,(8) as well as the utility of PTH and calcium measurements after total thyroidectomy in predicting the development of chronic HypoPT.(7) Calcium homeostasis in pregnancy and lactation is reviewed with proposed strategies to optimize maternal and fetal outcomes.(9) The risks and benefits of PTH replacement therapy in comparison to conventional therapy have been evaluated with application of the GRADE methodology.(9) Our findings and results of the systematic reviews and meta-analyses as well as the graded and ungraded recommendations were presented to representatives of the international endocrine societies in two separate meetings. The recommendations from the international society representatives were also incorporated into the manuscripts whenever possible. A practice survey determining the optimal monitoring strategy for HypoPT was developed and led by Stan Van Uum and is published as an article in this series.(8) The systematic reviews and meta-analyses conducted are also being published as separate articles along with a paper dedicated to describing the methodology of the entire guideline process for both HypoPT as well as primary hyperparathyroidism (PHPT).(2-4) The PHPT summary statement and guidelines as well as the articles describing the advances in PHPT are being published in a consecutive issue of JBMR.(10) The summary statement and the guidelines for the evaluation and management of HypoPT provide an overview of the key advances in our knowledge and understanding of HypoPT, as well as the evaluation and management recommendations (both graded and ungraded) for HypoPT.(11) We have also identified a research agenda for each of the four subsections addressed by the four HypoPT task forces. We gratefully acknowledge the major efforts of all the task force members who have been working diligently with us over the past 2 years in developing these articles and recommendations. HypoPT task force members: Dalal S Ali, S Bjornsdottir, Luisella Cianferotti, Michael T Collins, Serge Cremers, Karel Dandurand, David Dempster, Seiji Fukumoto, Rachel Gafni, Ravinder Goswami, Francesca Guisti, Z Hassan-Smith, Pascal Houiller, S Ing, E Helen Kemp, Christian Koch, Michael A Levine, DM Mitchell, Deborah Murphy, Iman M'Hiri, Jesse D Pasternak, Nancy Perrier, Kelly Roszko, Mishaela Rubin, Robert Sanders, Jad Sfeir, Muhammed Shrayyef, Heide Siggelkow, T Sikjaer, Antonio Sitges-Serra, Yu-Kwang Donovan Tay, Rajesh Thakker, Gaia Tobacco, L Underbjerg, Stan Van Umm, Kelly Wentworth, Karen Winer, Weibo Xia, Liam Yao, and Caitlin T Yeo. We also greatly appreciate the feedback and endorsement provided by the 65 scientific international and national societies, and plan on updating the guidelines as new knowledge becomes available over the next several years.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.002 |
| 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".