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Record W4401001143 · doi:10.14740/jmc4235

Primary Hyperparathyroidism and Pulmonary Embolism in Patients With a Fractured Neck of Femur

2024· article· en· W4401001143 on OpenAlexvenueno aff
Yashar Mashayekhi, Sara Baba-Aissa, Amina Al-Qaysi, Mohammed Eish, Abdulmalik Timamy, Maria Panourgia, Mohamed H. Ahmed

Bibliographic record

VenueJournal of Medical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePrimary hyperparathyroidismPulmonary embolismFemurRadiologySurgery

Abstract

fetched live from OpenAlex

Two patients aged 82 and 77, with a fractured neck of the femur, were found to have primary hyperparathyroidism, characterized by hypercalcemia and hypercalciuria. Post-surgery, both developed pulmonary embolism (PE), highlighting a possible link between hypercalcemia and increased hypercoagulation risk. There have been few case reports suggesting the association between hypercalcemia due to hyperparathyroidism and the increase in tendency of hypercoagulation and subsequent risk of venous thromboembolism (VTE). This case series offers insights into how ionized calcium influences thrombin formation, platelet activation and aggregation, and activation of clotting factors such as factor VII and factor X, raising questions about the role of chronic hypercalcemia in VTE. Further research is needed to 1) establish whether chronic hypercalcemia in the absence of fracture can modulate the risk of hypercoagulation; 2) determine whether chronic hypercalcemia in individuals with bone fracture may represent a significantly higher hypercoagulability risk during the postoperative periods.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.174
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.013
GPT teacher head0.285
Teacher spread0.272 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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