Diagnostic evaluation of intrauterine fetal deaths in Stockholm 1998–99
Bibliographic record
Abstract
BACKGROUND: To evaluate the diagnostic methods and to elucidate the etiology of intrauterine fetal death. MATERIAL AND METHODS: A prospective study was conducted on all intrauterine fetal deaths occurring in Stockholm County in 1998-99. During a 24-month period, 188 cases of intrauterine fetal death with gestational ages of > or = 22 weeks were investigated in accordance with structured test protocol. All information from antenatal and delivery records as well as all test results were entered in to an Internet-based database for continuous evaluation. RESULTS: A presumptive explanation to the stillbirth was established in 91% of the cases. The most common factors associated with intrauterine fetal death could be identified as infections (24%), placental insufficiency/intrauterine growth restriction (22%), placental abruption (19%), intercurrent maternal conditions (12%), congenital malformations (10%), and umbilical cord complications (9%). CONCLUSIONS: A relevant test protocol in cases of intrauterine fetal death reduces the number of unexplained cases to a minimum. An Internet-based register on test results of fetal deaths may enable a continuous evaluation of the diagnostic tools and etiologic factors in an ever-changing panorama. The results from the present study can serve as a base for a case-control study in Sweden.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".