Headache During Gestation: Evaluation of 1101 Women
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to evaluate the presence of headache in women with a previous history or new-onset headache during the current gestation, classify the findings, and describe the clinical characteristics and outcome of the headache. METHODS: From January/1998 to June/2002 we prospectively evaluated 1101 pregnant women (12-45 years old), with a history of headache, at two prenatal clinics and an inpatient obstetric public hospital. Women were interviewed using a semi-structured questionnaire during the first, second, and third gestation trimesters and immediately after delivery. All interviews were conducted by one of the authors, using the International Headache Society Classification (IHSC-2004). RESULTS: In 1029 women there was a history of headache prior to the current pregnancy, 36 (3.4%) women first experienced headache during this pregnancy and 40 patients experienced new types of headache. In these 76 patients with new onset headache during pregnancy, 40 had secondary headache (52.6%), 31 had primary headache (40.8%), and 5 had headache not classified elsewhere (6.6%). According to IHSC- 2004 criteria, we found migraine in 848/1029 women (82.4%), with pregestational headache. CONCLUSIONS: Most of the pregnant women presented with headache, mainly in migraine, prior to pregnancy, and most of the headaches improved or disappeared during the second and third gestation trimester. In a relatively small number of pregnant women, a new type of headache started during the gestation.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".