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Record W2460532362 · doi:10.1503/cjs.013715

Same-day discharge after unilateral parathyroidectomy is safe

2016· article· en· W2460532362 on OpenAlexaffvenue
John K. Peel, Adrienne Melck

Bibliographic record

VenueCanadian Journal of Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineParathyroidectomySurgeryInternal medicineParathyroid hormone

Abstract

fetched live from OpenAlex

BACKGROUND: Minimally invasive parathyroidectomy (MIP) with intraoperative parathyroid hormone monitoring is the most common surgical approach among endocrine surgeons for primary hyperparathyroidism (PHPT). Overnight hospitalization after MIP represents a drain on resources and may be unnecessary. The aim of this study was to determine the safety of same-day discharge after MIP. METHODS: We performed a retrospective cohort study of patients treated for PHPT between August 2010 and July 2015. Patients were stratified by their length of stay in hospital and compared in terms of postoperative complications. RESULTS: During the study period 154 MIPs were performed. Of these, 101 patients were discharged on the day of their surgery (group 1) and the remaining 53 stayed 1 or more days (group 2). Three patients in group 2 required readmission within 30 days of discharge (p = 0.039). Seven patients in group 1 and 1 patient in group 2 visited the emergency department within 30 days of discharge (p = 0.72). Two patients in group 1 experienced persistent or recurrent PHPT (p = 0.55). Patients in group 2 were older than those in group 1 (69 v. 61 yr, p < 0.001) and had a higher mean American Society of Anesthesiologists classification of physical status (2.66 v. 2.24, p < 0.001). CONCLUSION: Same-day discharge after MIP is a safe practice and saves the cost of an overnight stay in hospital. Same-day discharge should be considered for all patients undergoing MIP if there are no clear indications for overnight hospitalization.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.025
GPT teacher head0.247
Teacher spread0.222 · 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

Citations15
Published2016
Admission routes2
Has abstractyes

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