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Changes in Serum Calcium Levels Associated with Catheter‐Based Cerebral Angiography

2007· article· en· W2045893342 on OpenAlexaff
Ameer E Hassan, Muhammad Shazam Hussain, Farys Chowdhury, Asad Khan, Pansy Harris‐Lane, Adnan I. Qureshi

Bibliographic record

VenueJournal of Neuroimaging · 2007
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCalciumAngiographyAsymptomaticHeparinAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Digital subtraction angiography is performed with agents such as iodinated contrast and intravenous heparin, which can alter electrolyte levels. If severe enough, these alterations may produce symptoms in patients in the post-procedural period. We performed this study to evaluate serum calcium level changes after cerebral angiography. MATERIALS AND METHODS: The preangiographic and postangiographic serum calcium levels of 87 patients were reviewed and analyzed. Patients were grouped based on when the postangiographic serum calcium level was drawn in relation to the angiographic procedure (0-6 hours, 6-12 hours, 12-18 hours, and 18-24 hours). RESULTS: A significant reduction in serum calcium was observed in the 0- to 6-hours, 6- to 12-hours, and 12- to 18-hours groups (P < .05). The differences between the preangiographic and postangiographic serum calcium levels were 0.91 mg/dL, 0.59 mg/dL, and 0.55 mg/dL in the 0- to 6-hours, 6- to 12-hours, and 12- to 18-hours groups, respectively. The difference in the 18- to 24-hours group (0.27 mg/dL) was not statistically significant. None of the patients was clinically symptomatic from this decrease in serum calcium levels. CONCLUSION: An asymptomatic but significant decrease in serum calcium levels is seen following cerebral angiography. Possible mechanisms include chelation from the contrast agent or intravenous heparin. The reduction in serum calcium is transient, appearing to resolve within 24 hours.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.067
GPT teacher head0.349
Teacher spread0.282 · 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 designObservational
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
Published2007
Admission routes1
Has abstractyes

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