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Record W4391650351 · doi:10.1111/hdi.13131

Adrenal insufficiency in hemodialysis patients—An under‐recognized problem: A case series

2024· article· en· W4391650351 on OpenAlexvenueno aff
Krupa Shah, J. Tze‐Fei Wong, Kathy Mac, Namson S. Lau, Vincent M. Wong, Angela Makris

Bibliographic record

VenueHemodialysis International · 2024
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemodialysisAdrenal insufficiencyDialysisKidney diseaseIntensive care medicineChronic renal insufficiencyRenal replacement therapyDiseaseInternal medicineRenal function

Abstract

fetched live from OpenAlex

Adrenal insufficiency is an uncommon disorder and presents with non-specific symptoms. Identifying adrenal insufficiency in patients with chronic kidney disease requiring dialysis is increasingly difficult as there is a significant overlap of the signs and symptoms of adrenal insufficiency with those seen in chronic kidney failure. We highlight this diagnostic uncertainty in a case series of three patients with chronic kidney disease requiring hemodialysis as renal replacement therapy from a single center identified as hypoadrenal. Steroid replacement improved symptoms and hemodynamic parameters. Increased vigilance for adrenal insufficiency in dialysis patients is necessary. It is likely under recognized in hemodialysis patients given their multi-morbidity.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.570
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.281
Teacher spread0.266 · 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 designOther design
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

Citations4
Published2024
Admission routes1
Has abstractyes

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