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Management of Pain After Cesarean Delivery Without Intrathecal Morphine: Networking for the Best Answer

2021· article· en· W3198759300 on OpenAlexaff
Garrett Barry, Vishal Uppal

Bibliographic record

VenueObstetric Anesthesia Digest · 2021
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsNova Scotia Health AuthorityIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsMedicineAnesthesiaMorphineContext (archaeology)OpioidAnalgesicCesarean deliveryCatheterIntrathecalSurgeryPregnancyInternal medicine

Abstract

fetched live from OpenAlex

(Can J Anesth/J Can Anesth. 2020;67:1704–1709) Acute pain after cesarean delivery (CD) is a predictor of important short-term and long-term outcomes including postpartum depression. Intrathecal opioids are often provided as post-CD analgesia following CD using neuraxial analgesia. However, when spinal anesthesia or intrathecal morphine are not good options, truncal blocks and local anesthetic wound infiltration (WI) are possible alternatives. Common truncal blocks used in this context include the transversus abdominis plane (TAP) block or quadratus lumborum block (QLB). A recent network meta-analysis (NMA) by Sultan et al compared single-injection TAP block, single-dose WI and continuous wound catheter (WC) in terms of 24-hour opioid consumption. TAP block and WC showed lower opioid consumption and pain scores that WI or inactive control. TAP block also had a longer time-to-first analgesic request than inactive controls.

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)0.003
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.008
Open science0.0010.002
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0240.005

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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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 designNot applicable
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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