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Record W4238415296 · doi:10.14740/jmc2804w

Uterine Arteriovenous Malformation: A Rare Cause of Secondary Postpartum Hemorrhage

2017· article· en· W4238415296 on OpenAlexvenueno aff
Caroline C. Tan, Manisha Mathur, Richard Hoau Gong Lo

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineArteriovenous malformationUterine artery embolizationHysterectomyPseudoaneurysmEmbolizationUterine arterySurgeryPregnancyComplicationGestation

Abstract

fetched live from OpenAlex

Ruptured uterine arteriovenous malformation (AVM) such as uterine artery pseudoaneurysm is an extremely rare cause of secondary postpartum hemorrhage (PPH), thus causing a diagnostic and therapeutic dilemma for the managing obstetricians. We describe a case of a 40-year-old lady who presented with recurrent intractable secondary PPH unresponsive to conventional treatment following an emergency lower segment cesarean section (LSCS). This was her second LSCS for a failed trial of vaginal birth after cesarean section (VBAC). Subsequently left uterine artery extravasation was identified on pelvic angiogram and selective embolization was done with successful treatment of her PPH. To date, there have been only case reports or case series available on literature due to its rarity of the diagnosis. We wish to raise awareness of this rare diagnosis in patients with risk factors as a cause of recurrent PPH not responding to medical management. We also wish to share our experience with the successful use of selective uterine artery embolization for the management of this condition which resulted in avoidance of hysterectomy and its associated morbidity. J Med Cases. 2017;8(5):152-154 doi: https://doi.org/10.14740/jmc2804w

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)0.001
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

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

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 head0.040
GPT teacher head0.352
Teacher spread0.312 · 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 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

Citations4
Published2017
Admission routes1
Has abstractyes

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