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Record W2345924614 · doi:10.1136/bcr-2016-215145

Gestational trophoblastic disease in a Greenlandic Inuit: diagnosis and treatment in a remote area

2016· article· en· W2345924614 on OpenAlexaboutno aff
Trine Dalsgaard Jensen, Luit Penninga

Bibliographic record

VenueBMJ Case Reports · 2016
Typearticle
Languageen
FieldMedicine
TopicGestational Trophoblastic Disease Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVomitingUltrasonographyPregnancyVaginal bleedingGestational trophoblastic diseaseAbdominal painAbdominal ultrasonographyRegional hospitalObstetricsRadiologySurgeryEmergency medicineGestation

Abstract

fetched live from OpenAlex

We report on a 21-year-old pregnant Greenlandic Inuit woman, who presented at a small local hospital in Northern Greenland. The patient suffered from lower abdominal pain, irregular bleeding and vomiting. urine-human chorionic gonadotropin (U-hCG) was positive. Ultrasonography showed the typical 'snow-storm' images of a mole pregnancy. Owing to the fact that local physicians were able to perform an ultrasound, proper diagnosis could be established, and the patient was transferred to the regional hospital, located nearly 1200 km away. At the regional hospital, uterine evacuation was performed under general anaesthesia. Blood analysis showed that serum hCG returned to undetectable levels, and the patient recovered uneventfully. Our case shows that ultrasonography is a valuable diagnostic tool also in remote areas. In Greenland, geographical distances are large and weather conditions can be extreme, and in this report, we discuss how healthcare can be optimised in remote areas.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.540

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)0.0000.000

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 head0.029
GPT teacher head0.305
Teacher spread0.276 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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