MétaCan
Menu
Back to cohort
Record W2171006092 · doi:10.1093/humrep/17.2.490

Serum vascular endothelial growth factor as a possible marker for early ectopic pregnancy

2002· article· en· W2171006092 on OpenAlex

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

VenueHuman Reproduction · 2002
Typearticle
Languageen
FieldMedicine
TopicEctopic Pregnancy Diagnosis and Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsEctopic pregnancyMedicinePregnancyVascular endothelial growth factorAndrologyGynecologyInternal medicineBiologyVEGF receptorsGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: This study evaluated serum vascular endothelial growth factor (VEGF) concentrations in women with normal intrauterine pregnancy (IUP), arrested IUP and ectopic pregnancy (EP). METHOD: This was a prospective, case-control study evaluating serum VEGF concentrations among 45 early pregnant women who subsequently were found to have an EP, a normal IUP or an arrested IUP (15 women in each group). Patients were stratified according to serum VEGF concentrations above and below 200 pg/ml. RESULTS: There was a significant difference in VEGF concentrations among women with EP, arrested IUP and normal IUP (306.1 +/- 26.5, 169.7 +/- 16.6 and 27.0 +/- 4.4 pg/ml respectively, P < 0.001). With a cut-off concentration of 200 pg/ml, serum VEGF could distinguish normal IUP from EP with a sensitivity of 88%, a specificity of 100% and a positive predictive value of 100%. Between EP and arrested IUP, the sensitivity was 87.5%, specificity 75% and positive predictive value of 77.8%. CONCLUSIONS: VEGF is a potential marker for EP. Its concentrations in women with EP are higher than in those with normal and arrested IUP.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.039
GPT teacher head0.275
Teacher spread0.236 · 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