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Record W4200315070 · doi:10.1111/hdi.12984

Life‐threatening alkalosis from baking soda pica in an end stage renal disease hemodialysis patient

2021· article· en· W4200315070 on OpenAlexvenueno aff
Amara Sarwal, Susan Kim, Isaiarasi Gnanasekaran

Bibliographic record

VenueHemodialysis International · 2021
Typearticle
Languageen
FieldHealth Professions
TopicTherapeutic Uses of Natural Elements
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHypernatremiaHemodialysisPica (typography)Metabolic alkalosisEnd stage renal diseaseAlkalosisIntensive care medicineVomitingDiseaseKidney diseaseIngestionInternal medicinePediatricsAcidosis

Abstract

fetched live from OpenAlex

Severe metabolic alkalosis is rarely seen in end stage renal disease (ESRD) patients on long-term hemodialysis. This can be life threatening and mortality is exponentially increased when the pH exceeds 7.60. Persistent vomiting, ingestion of alkali for dyspepsia and pica behavior are all potential causes of such severe metabolic alkalosis. The prevalence of pica is increased in chronic kidney disease and ESRD patients, with ice being the most commonly ingested substance. It can cause a myriad of complications including death, but the diagnosis may be elusive unless the pica behavior is witnessed firsthand by others since patients do not typically disclose their behavior. We present the case of a hemodialysis patient with severe alkalemia, hypernatremia, and excessive interdialytic weight gains resulting in recurrent hospitalizations for fluid overload due to baking soda pica behavior.

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)0.001
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.386
Teacher spread0.325 · 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
Published2021
Admission routes1
Has abstractyes

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