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Record W4415559820 · doi:10.7759/cureus.95464

Low Oxygen Saturation During Risperidone Therapy: A Multispecialty Approach

2025· article· en· W4415559820 on OpenAlexaff
Evaristus Chino Ezema, Gideon Onyebuchi Idoko, Samuel Alao, Nnenna Bessie Emejuru, Ogochukwu Agazie, Omotola Emmanuel, Cheikh S. Galledou, Oluseye O Asaolu, Chidalu Ibeneme, Amarachi N Abanobi, Olaniyi D. Ogundeji, Chinenye Loveth Aleke, Olasumbo Elizabeth Fagbenle

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsFanshawe College
Fundersnot available
KeywordsRisperidoneOxygen saturationAtypical antipsychoticRespiratory distressSaturation (graph theory)Respiratory systemOxygen

Abstract

fetched live from OpenAlex

Risperidone is an atypical antipsychotic medication commonly used in the treatment of schizophrenia and bipolar disorder in adults. Risperidone therapy is not typically associated with low oxygen saturation. However, recurrent severe acute respiratory distress and acute eosinophilic pneumonia have been documented during risperidone treatment, accompanied by low oxygen saturation and requiring respiratory support. There is a paucity of literature describing low oxygen saturation without acute respiratory compromise during risperidone therapy. Therefore, we present a rare case of low oxygen saturation in a patient with glucose-6-phosphate dehydrogenase (G6PD) deficiency and variant hemoglobin (elevated HbA₂) on risperidone therapy, who exhibited no respiratory compromise.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.014
GPT teacher head0.280
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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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