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Cervical tumoral calcinosis with secondary hyperparathyroidism in a chronic hemodialysis patient

2012· article· en· W1940116707 on OpenAlexvenueno aff
S. Sunder, Himanshu Verma, Venkataramanan Krishnamoorthy

Bibliographic record

VenueHemodialysis International · 2012
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTumoral calcinosisMetastatic calcificationCinacalcetParathyroidectomyHemodialysisSecondary hyperparathyroidismHyperparathyroidismSurgeryHyperphosphatemiaComplicationGastroenterologyUrologyCalcificationInternal medicineCalcinosisParathyroid hormoneCalcium

Abstract

fetched live from OpenAlex

Tumoral calcinosis is an uncommon and severe complication of chronic renal failure. It is generally associated with the presence of a high-serum calcium-and-phosphorus product. We report here a case of a patient on maintenance hemodialysis who presented with progressively increasing, solitary, tumor-like swelling over the nape of the neck. A 50-year-old female on thrice weekly maintenance hemodialysis for the last 3 years presented with a small swelling over the nape of the neck that had been progressively increasing over the last 1 year to cricket ball size. The patient was investigated and diagnosed as having tumoral calcinosis. The metastatic calcification occurring in the patient was most likely related to high calcium × phosphate product with coexistent secondary hyperparathyroidism possibly aggravated by vitamin D therapy. The patient was treated with withdrawal of vitamin D therapy, strict control of serum phosphate levels with noncalcemic phosphate binders, and subtotal parathyroidectomy. The neck swelling started decreasing in size after 2 months of parathyroidectomy and there was marked clinical improvement with drop in serum parathormone levels, over a period of 6 months. After 2 years of parathyroidectomy, the neck swelling again started increasing in size with increase in serum parathormone levels. The patient was treated with cinacalcet and the neck swelling gradually decreased in size along with control of serum parathormone and phosphate levels.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.271
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations11
Published2012
Admission routes1
Has abstractyes

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