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Record W1668728643 · doi:10.1089/bari.2014.0007

Lithium Toxicity Following Roux-en-Y Gastric Bypass

2014· article· en· W1668728643 on OpenAlexaff
Kate Walsh, Jason Volling

Bibliographic record

VenueBariatric Surgical Practice and Patient Care · 2014
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsUniversity Health NetworkWomen's College Hospital
Fundersnot available
KeywordsMedicineToxicityLithium (medication)Gastric bypass surgeryAcute kidney injuryGastroenterologySurgeryGastric bypassInternal medicineAnesthesiaWeight lossObesity

Abstract

fetched live from OpenAlex

Patients undergoing Roux-en-Y gastric bypass (RYGB) are at increased risk of lithium toxicity. Risk factors include pre-operative dietary changes to fluid and sodium intake, gastrointestinal tract manipulation from the surgical procedure that may alter drug absorption, and short term diet related complications. The following case report describes a woman who experienced severe lithium toxicity 4 weeks after surgery. This was despite efforts to mitigate the risk with a lithium monitoring and dose modification protocol. It is unclear whether her diet related complications led to dehydration, acute kidney injury and subsequent toxicity or if her lithium absorption increased after surgery causing toxicity and subsequent kidney injury. Regardless of the cause, further research is required to determine the impact of RYGB on the pharmacokinetic changes of high risk medications such as lithium.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.265
Teacher spread0.255 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations16
Published2014
Admission routes1
Has abstractyes

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