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Record W2119732163 · doi:10.1093/ndt/gfl046

Hypercalcaemia in a patient with membraneous nephropathy

2006· article· en· W2119732163 on OpenAlexaffabout
Sonya Poulin, Jean‐Hugues Brossard, Réal Noël, Paul Isenring

Bibliographic record

VenueNephrology Dialysis Transplantation · 2006
Typearticle
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsHôtel-Dieu de Québec
Fundersnot available
KeywordsHypercalcaemiaNephropathyMedicineInternal medicineEndocrinologyCalcium

Abstract

fetched live from OpenAlex

1From the Nephrology Group, L'Hôtel-Dieu de Québec Institution, Department of Medicine, Faculty of Medicine, Laval University, Québec G1R 2J6 and 2From the Endocrinology Group, Saint-Luc Hospital, Department of Medicine, Faculty of Medicine, Montreal University, Montreal H2X 3J4, Canada We report the case of a man who was investigated at the age of 23 for hypercalcaemia. This disorder not only occurred in the setting of multiple diseases that can alter calcium balance, but also in the setting of unique nosological associations. The case presented here was therefore, a challenging problem to solve and it proved to be a great learning opportunity. At 23 years of age, in May 2001, a Caucasian male consulted his family doctor for asthenia, weight loss, hand tremor, palpitations, polyuria, polydipsia, gynaecomastia and galactorrhoea, all of which developed progressively over a few months. At the time of consultation, he was on nifedipine, metoprolol, pravastatin and aspirin. His past medical history included a membraneous nephropathy that was diagnosed at the age of 15 (November 1992) and which was complicated by chronic, non-progressive renal failure, persistent proteinuria between 5–10 g per day and high blood pressure. The inquiry was otherwise negative and the patient denied using any non-prescription drugs, vitamin supplements, isotretinoin or lithium salts. A physical examination in May 2001 revealed a blood pressure of 154/92 mmHg, a heart rate of 100/min, a slightly enlarged thyroid gland and mild bilateral gynaecomastia. For the rest, the secondary sexual characters were normal, there was no ankle oedema, and the patient's weight and height were 57 kg and 170 cm, respectively.

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)0.003
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.242
Teacher spread0.233 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

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