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Record W2755977531 · doi:10.1177/1753495x17719181

Pregnancy in women with Klippel-Trenaunay syndrome: Report of three pregnancies in a single patient and review of literature

2017· article· en· W2755977531 on OpenAlex
Anish Keepanasseril, K Keerthana, Arun Keepanasseril, Dilip Kumar Maurya, Sharath Sistla

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueObstetric Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsMcMaster University
Fundersnot available
KeywordsKlippel-Trenaunay syndromeMedicinePregnancyKlippel-Trenaunay-Weber SyndromeAbnormalityObstetricsPediatricsSurgeryInternal medicinePsychiatrySoft tissue

Abstract

fetched live from OpenAlex

Klippel-Trenaunay syndrome is characterised by vascular abnormality which increases the risk of thromboembolism and haemorrhage. Physiological changes in pregnancy pose an increased risk to these complications. Being an uncommon disorder, there is limited literature about the management of women with pregnancy and Klippel-Trenaunay syndrome. We report in detail two of three pregnancies in a woman with Klippel-Trenaunay syndrome who had repeated episodes of haematochezia leading to anaemia, managed with Argon laser Photo-Coagulation in pregnancy and also reviewed the complications and the management of pregnant women with Klippel-Trenaunay syndrome.

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.

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 score0.342
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.251
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