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Hypophosphatémies de causes rares : approche diagnostique

2023· article· fr· W4367834135 on OpenAlexaff
Andrea Trombetti, Siv Fokstuen, Paloma Parvex

Bibliographic record

VenueRevue Médicale Suisse · 2023
Typearticle
Languagefr
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsHypophosphatemiaMedicineHypophosphatemic RicketsOsteomalaciaCalcitriolRicketsParathyroid hormoneEndocrinologyVitamin D and neurologyInternal medicineCalcium

Abstract

fetched live from OpenAlex

Hypophosphatemia is common and may be overlooked due to its asymptomatic nature or non-specific symptoms. Two main mechanisms are at its origin: a shift towards the intracellular sector and an increase in urinary phosphate excretion. A measurement of the urinary phosphate reabsorption threshold allows a diagnostic orientation. Alongside common forms of parathyroid hormone-dependent hypophosphatemia, one should not ignore rare FGF23-mediated forms, in particular X-linked hypophosphatemic rickets. The treatment, above all etiological, also includes the administration of phosphate and, in the event of an excess of FGF23, supplementation with calcitriol. In cases of oncogenic osteomalacia and X-linked hypophosphatemic rickets, the use of burosumab, an anti-FGF23 antibody, must be considered.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.005

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 head0.028
GPT teacher head0.309
Teacher spread0.281 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2023
Admission routes1
Has abstractyes

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