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Record W1981376027 · doi:10.1159/000021018

Twin-Twin Transfusion Syndrome: The ‘Select’ Procedure

2000· article· en· W1981376027 on OpenAlexaff
Vickie A. Feldstein, Geoffrey A. Machin, Craig T. Albanese, Per Sandberg, Jody A. Farrell, Diana L. Farmer, Michael R. Harrison

Bibliographic record

VenueFetal Diagnosis and Therapy · 2000
Typearticle
Languageen
FieldMedicine
TopicAssisted Reproductive Technology and Twin Pregnancy
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineFetoscopyLaser coagulationTwin Twin Transfusion SyndromeGestationTwin-to-twin transfusion syndromePregnancyAnastomosisLaser surgeryObstetricsOcclusionSurgeryFetusPrenatal diagnosisLaser

Abstract

fetched live from OpenAlex

OBJECTIVES: Twin-twin transfusion syndrome (TTTS) is associated with a high risk of perinatal morbidity and mortality. The condition results from intertwin vascular connections in the shared placenta. We report here a case of early, severe TTTS that failed to respond to serial amniocenteses and that was successfully treated by means of superselective laser coagulation. METHODS: A causative arteriovenous anastomosis was identified by means of prenatal obstetrical sonography, using color and spectral Doppler techniques. At fetoscopy, performed at 23 weeks' gestation, laser occlusion of only this connection was achieved. RESULTS: This therapeutic intervention resulted in rapid resolution of all evidence of TTTS and a successful pregnancy outcome, with subsequent delivery of 2 healthy infants at 33 weeks' gestation. CONCLUSIONS: The potentially fatal pathophysiology of TTTS was reversed by interruption of a single arteriovenous connection. We have termed this the sonographically evaluated, laser-endoscopic coagulation for twins ('Select') procedure.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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

Citations50
Published2000
Admission routes1
Has abstractyes

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