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Record W2898464497 · doi:10.1155/2018/9261749

Autoinfarction of Giant Parathyroid Adenoma after Preoperative Withdrawal of Anticoagulants

2018· article· en· W2898464497 on OpenAlexaff
Raoul Verzijl, Pim J. Bongers, Geetha Mukerji, Özgür Mete, Karen Devon, Jesse D. Pasternak

Bibliographic record

VenueCase Reports in Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsWomen's College HospitalUniversity Health Network
Fundersnot available
KeywordsMedicineParathyroid adenomaParathyroid carcinomaPrimary hyperparathyroidismSurgeryHyperparathyroidismParathyroid hormoneAdenomaParathyroid neoplasmCalciumInternal medicine

Abstract

fetched live from OpenAlex

A 71-year-old man with known history of atrial fibrillation (treated with routine rivaroxaban therapy) was found to have incidental biochemical elevated calcium and parathyroid hormone (PTH) levels. His physical examination demonstrated the presence of a palpable right neck mass. Subsequent imaging studies revealed a large parathyroid mass as well as multiple bone lesions, raising the suspicion of parathyroid carcinoma. The anticoagulant therapy was stopped 5 days prior to his elective surgery. The night before his elective surgery, he presented to the emergency room with profound hypocalcemia. The surgery was postponed and rescheduled after calcium correction. Intraoperative findings and detailed histopathological examination revealed an infarcted 4.0 cm parathyroid adenoma with cystic change. His bony changes were related to brown tumors associated with long-standing hyperparathyroidism. Autoinfarction of a large parathyroid adenoma causing severe hypocalcemia is a rare phenomenon and may be considered in patients with large parathyroid adenomas after withdrawal of anticoagulants.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.289
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes1
Has abstractyes

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