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Record W3106328349 · doi:10.1002/anr3.12083

The erector spinae plane block for obstetric analgesia: a case series of a novel technique

2020· article· en· W3106328349 on OpenAlexaff
J. S. Vilchis Rentería, Philip Peng, Mauricio Forero

Bibliographic record

VenueAnaesthesia Reports · 2020
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsMcMaster UniversityUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineAnesthesiaLocal anaestheticNerve block

Abstract

fetched live from OpenAlex

The management of pain during labour is central to obstetric anaesthetic practice. While epidural analgesia has long been considered the gold standard for intrapartum analgesia, neuraxial techniques can be challenging to perform, are contra-indicated in circumstances such as coagulopathy. The erector spinae plane block is an interfascial plane block that has generated interest because of a needle tip position away from the neuraxis. This has the potential to mitigate the risks of nerve injury and epidural haematoma formation. The mechanism of action is linked to both paravertebral and epidural distribution of local anaesthetic, providing both somatic and visceral analgesia, with potential utility in obstetric settings. Four women in active labour received either unilateral or bilateral erector spinae plane blocks. All experienced a reduction in pain, ranging from 3 to 6 points measured on a 10-point numerical rating scale. The duration of analgesia ranged from 60 to 120 min. In this report, we discuss potential for using the erector spinae plane block in the management of obstetric pain.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.028
GPT teacher head0.261
Teacher spread0.233 · 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 designCase report
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

Citations11
Published2020
Admission routes1
Has abstractyes

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