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Record W2067615034 · doi:10.4021/jmc.v4i12.1587

An Uncommon Clinical Case with Fanconi Syndrome, Acanthosis Nigricans and Hyperinsulinemia

2013· article· en· W2067615034 on OpenAlexvenueno aff
Yusuf Karadeniz, Süleyman Ahbab, Abdulkadir Çelik, Fatih Türker, Recep Ayhan, Ali Atay

Bibliographic record

VenueJournal of Medical Cases · 2013
Typearticle
Languageen
FieldMedicine
TopicBiomedical Research and Pathophysiology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGlycosuriaAcanthosis nigricansHyperinsulinemiaFanconi syndromeAminoaciduriaPolyuriaInternal medicineEndocrinologyDiabetes mellitusHypophosphatemiaGastroenterologyDermatologyUrologyKidneyUrineInsulin resistance

Abstract

fetched live from OpenAlex

Fanconi syndrome (FS) is a disease of the proximal renal tubules of the kidney in which glucose, amino acids, uric acid, phosphate, and bicarbonate are passed into the urine, instead of being reabsorbed. Laboratory findings are important for the diagnosis such as hyponatremia, hypopotassemia, hypocalcemia, hypophosphatemia, glucosuria, proteinuria, and metabolic acidosis. In this presentation, the patient admitted to the hospital with polyuria, polydypsia, weakness of the extremity muscles, and axiller brown colored cutaneous lesions. Blood and urine laboratory test results were consistent with FS. Besides, hyperglycemia and hyperinsulinemia were determined as an indicator of diabetes mellitus. Axillary skin lesions were described as acanthosis nigricans. This case was presented to point out the coexistence of renal proximal tubule dysfunction, hyperinsulinemia, and acanthosis nigricans as an unusual clinical feature in the literature. J Med Cases • 2013;4(12):831-833 doi: http://dx.doi.org/10.4021/ jmc1587w

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)0.004
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0060.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.048
GPT teacher head0.395
Teacher spread0.347 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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