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Selective Spinal Anesthesia Versus Desflurane Anesthesia in Short Duration Outpatient Gynecological Laparoscopy: A Pharmacoeconomic Comparison

2002· article· en· W1978243068 on OpenAlexaffabout
Pamela H. Lennox, Colin R. Chilvers, Himat Vaghadia

Bibliographic record

VenueAnesthesia & Analgesia · 2002
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of British ColumbiaVancouver General Hospital
Fundersnot available
KeywordsMedicineDesfluraneAnesthesiaLaparoscopyAmbulatoryAnestheticRandomized controlled trialSpinal anesthesiaSurgery

Abstract

fetched live from OpenAlex

UNLABELLED: We compared the cost and effectiveness of selective spinal anesthesia (SSA) with a desflurane-based general anesthetic (DES) for outpatient gynecological laparoscopy. A prospective analysis was undertaken of 10 patients randomized to receive SSA and compared with 10 patients randomized to receive DES. The groups were well matched in their demographic characteristics. The mean cost (in 2000 Canadian dollar values) of anesthesia supplies, drugs, and nursing for the SSA group of $62.31 was less than that for the DES group of $92.31 (P < 0.01). Recovery costs of both groups were similar. Time to administer anesthesia and time spent in the postanesthetic care unit were also similar. Postoperative analgesia was required by 50% of the DES group but in no patient receiving SSA (P < 0.01). SSA is a cost-effective alternative to DES in these patients. IMPLICATIONS: Small-dose spinal anesthesia is an effective alternative to a desflurane general anesthetic in terms of cost and recovery profiles in ambulatory gynecological laparoscopy.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.308
Teacher spread0.263 · 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 designNon-randomized trial
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

Citations44
Published2002
Admission routes2
Has abstractyes

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