Maternal psychosocial outcome after early onset preeclampsia and preterm birth
Bibliographic record
Abstract
OBJECTIVE: To evaluate the impact of severe, early onset preeclampsia on long-term maternal psychosocial outcome after preterm birth. METHODS: Women with severe, early onset preeclampsia before 32 weeks' gestation (cases) admitted in a tertiary university referral center between 1993 and 2004, and women with preterm delivery without preeclampsia (controls), matched for age, parity, gestational age at delivery, ethnicity, and year of delivery. Women who consented to participation received three questionnaires in 2008 concerning depression (Zung Depression Scale: score range 0-20; 20 items with 2-point frequency scale: no = 0 and yes = 1), posttraumatic stress symptoms (Impact of Event Scale: score range 0-75; 15 items with 4-point frequency scale: not at all = 0, rarely = 1, sometimes = 3 and often = 5. Scores > 19 are regarded as high symptom levels), and social aspects (Social Readjustment Rating Scale: selection of six items concerning relational aspects with husband/partner, employer, or future family planning). RESULTS: Included in the study were 104 cases and 78 controls (response rate 79% and 58%, respectively). There was no difference in depression scores between cases (5.4 ± 4.0) and controls (5.4 ± 4.3). Patients with severe, early onset preeclampsia had significantly higher scores of posttraumatic stress symptoms (28.7 ± 8.6 vs. 25.7 ± 7.9). The majority of women among both cases and controls had high-posttraumatic stress symptom levels (88% vs. 79%). No differences could be found in relational aspects. CONCLUSION: Women with preterm birth due to severe, early onset preeclampsia experience more often posttraumatic stress symptoms on average 7 years after the pregnancy compared to women with preterm birth without preeclampsia.
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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 | 0.003 |
| 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".