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Record W2317369075 · doi:10.14740/jcgo.v5i1.390

An Obstetric Perspective on Functional Bowel Obstruction After Cesarean Section: A Case Series

2016· article· en· W2317369075 on OpenAlexvenueno aff
Kimberley J. Norton-Old, Nicola Yuen, Mark P. Umstad

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2016
Typearticle
Languageen
FieldMedicine
TopicIntestinal Malrotation and Obstruction Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIleusBowel obstructionEtiologyCecumParalytic ileusPerforationSurgeryColonic Pseudo-ObstructionPathophysiologyGeneral surgeryObstetricsInternal medicine

Abstract

fetched live from OpenAlex

Ogilvie’s syndrome (OS) and paralytic ileus are two types of functional bowel obstructions well known in obstetrics. Cesarean section and spinal anesthetic have been reported as etiological factors. OS is rare; however, associated morbidity and mortality rates are high. We report on three patients whose post-cesarean section course was complicated by a functional bowel obstruction. Two of the patients exhibited signs of imminent perforation from cecal dilation and required major surgical intervention. The pathophysiology of OS and paralytic ileus and their respective management are discussed based on a review of the literature. A new approach to the management of functional bowel obstructions after cesarean section is offered from an obstetric perspective. Identification of cecal dilation is the key. We suggest prompt measurement of the cecum with an abdominal X-ray followed by surgical review and intervention in symptomatic patients with a cecal diameter equal to or greater than 10 cm. J Clin Gynecol Obstet. 2016;5(1):53-57 doi: http://dx.doi.org/10.14740/jcgo390w

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)0.000
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.035
GPT teacher head0.344
Teacher spread0.309 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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