Guidelines for the Management of Asymptomatic Primary Hyperparathyroidism: Summary Statement from the Third International Workshop
Bibliographic record
Abstract
OBJECTIVE: Asymptomatic primary hyperparathyroidism (PHPT) is routinely encountered in clinical practices of endocrinology throughout the world. This report distills an update of current information about diagnostics, clinical features, and management of this disease into a set of revised guidelines. PARTICIPANTS: Participants, representing an international constituency, with interest and expertise in various facets of asymptomatic PHPT constituted four Workshop Panels that developed key questions to be addressed. They then convened in an open 3-day conference September 19-21, 2013, in Florence, Italy, when a series of presentations and discussions addressed these questions. A smaller subcommittee, the Expert Panel, then met in closed session to reach an evidence-based consensus on how to address the questions and data that were aired in the open forum. EVIDENCE: Preceding the conference, each question was addressed by a relevant, extensive literature search. All presentations and deliberations of the Workshop Panels and the Expert Panel were based upon the latest information gleaned from this literature search. CONSENSUS PROCESS: The expert panel considered all the evidence provided by the individual Workshop Panels and then came to consensus. CONCLUSION: In view of new findings since the last International Workshop on the Management of Asymptomatic PHPT, guidelines for management have been revised. The revised guidelines include: 1) recommendations for more extensive evaluation of the skeletal and renal systems; 2) skeletal and/or renal involvement as determined by further evaluation to become part of the guidelines for surgery; and 3) more specific guidelines for monitoring those who do not meet guidelines for parathyroid surgery. These guidelines should help endocrinologists and surgeons caring for patients with PHPT. A blueprint for future research is proposed to foster additional investigation into issues that remain uncertain or controversial.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.025 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.008 |
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 source (direct Gemma or distilled Codex), 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".