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Record W3121182672 · doi:10.14740/jmc3632

Rare Surgical Complication of <i>In Vitro</i> Fertilisation Treatment: Bladder Injury During Oocyte Retrieval

2021· article· en· W3121182672 on OpenAlexvenueno aff
Tat Xin Ee, Wuen Lynn Toh, Jerry Kok Yen Chan

Bibliographic record

VenueJournal of Medical Cases · 2021
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCystoscopySurgeryUrinary bladderComplicationCystectomyUrinary systemBladder cancerInternal medicine

Abstract

fetched live from OpenAlex

Current literature suggests that surgical complications from oocyte retrievals (ORs) are uncommon. Here, we present a rare case of bladder injury during OR and its subsequent management. A 37-year-old nulliparous woman underwent assisted reproductive therapy (ART) for primary infertility secondary to anovulatory cycle. During OR, there was an inadvertent puncture of the bladder, with active intra-bladder bleeding seen on transvaginal ultrasound. Bladder washout followed by continuous drainage was instituted with antibiotic coverage over several days. Bladder integrity ascertained through computer tomography urogram and cystoscopy were unremarkable. She was discharged well and continued with her fertility treatment. Transvaginal OR is associated with few complications. Bladder injury, albeit rare, can present with massive hematuria and hemodynamic instability. Early identification of the injury is key to management with insertion of the indwelling urinary catheter, hemodynamic resuscitation and bladder irrigation. With a urological multi-disciplinary approach, most bladder injuries can be resolved non-invasively.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.628

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)0.0010.000

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 head0.034
GPT teacher head0.315
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2021
Admission routes1
Has abstractyes

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