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Surgical Sensation During Cesarean Section: A Qualitative Analysis

2024· article· en· W4404518025 on OpenAlexaff
An Jiang, Tracy B. Perry, Kate F. Walker, A. Burfoot, L. Patterson

Bibliographic record

VenueObstetric Anesthesia Digest · 2024
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsMedicineSection (typography)SensationObstetricsNeuroscienceAdvertising

Abstract

fetched live from OpenAlex

( Int J Obstet Anesth. 2024:57:103935. https://doi.org/10.1016/j.ijoa.2023.103935) Cesarean section (CS) is a significant surgical procedure for young and generally healthy patients, marking a crucial emotional milestone. Neuraxial anesthesia (NA) is preferred for CS due to its safety advantages over general anesthesia, including reduced blood loss, improved postoperative pain control, and decreased neonatal exposure to drugs. While it allows patients and their partners to experience childbirth intimately, NA carries known risks such as hypotension, headache, and inadequate pain relief. Sedation is minimal during CS to ensure neonatal safety and preserve parental bonding. Preoperative anxiety affects postoperative outcomes and patient satisfaction, emphasizing the need for comprehensive patient education and counseling. However, there is limited recent data on patients’ perceptions of surgical sensations during CS under NA, highlighting the importance of this study’s detailed assessment to improve patient care and inform future research.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.033
GPT teacher head0.363
Teacher spread0.330 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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