Fetal cardiac performance in uncomplicated and well‐controlled maternal type I diabetes
Bibliographic record
Abstract
OBJECTIVE: To study the impact of well-controlled, uncomplicated maternal diabetes on fetal cardiac development and performance. METHODS: The following variables were studied in 45 fetuses of type I diabetic women by means of mid- and late-trimester echocardiography: interventricular septal thickness; aortic and pulmonary valve diameters; peak and time-to-peak flow velocity of the great arteries; the ratio between peak velocities during early (E) and late (A) ventricular filling at the level of the atrioventricular values; ventricular fractional shortenings; and output. The findings were compared to age-matched control groups of normal fetuses. RESULTS: A significant augmentation of interventricular septal thickness was demonstrated for mid-trimester fetuses of diabetic women, which progressed further towards the end of pregnancy. However, the indices of diastolic and systolic function remained comparable between the gestational age-matched groups. CONCLUSION: Progressive myocardial thickening occurs commonly in mid- and late-trimester fetuses of uncomplicated and well-controlled diabetic pregnancies. The observed degree of hypertrophy is generally mild and does not affect age-related changes in fetal cardiac function.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".