Pregnancy in Systemic Sclerosis: Results of a Systematic Review and Metaanalysis
Bibliographic record
Abstract
OBJECTIVE: Through a systematic literature search (SLR) and metaanalysis, to determine maternal and fetal outcomes in pregnancies involving systemic sclerosis (SSc), to analyze the effect of pregnancy on disease activity, and to examine predictors of fetal and maternal outcomes. METHODS: An SLR was performed for articles on SSc and pregnancy published between 1950 and February 1, 2018. Reviewers double-extracted articles to obtain agreement on > 95% of predefined critical outcomes. RESULTS: Out of 461 publications identified, 16 were included in the metaanalysis. The metaanalysis showed that pregnancies involving SSc were at higher risk of miscarriage (OR 1.6, 95% CI 1.22-2.22), fetuses with intrauterine growth retardation (IUGR; OR 3.2, 95% CI 2.21-4.53), preterm births (OR 2.4, 95% CI 1.14-4.86), and newborns with low birth weight (OR 3.8, 95% CI 2.16-6.56). Patients with SSc had a 2.8 times higher chance of developing gestational hypertension (HTN; OR 2.8, 95% CI 2.28-3.39) and a 2.3 times higher chance of cesarean delivery compared to controls (OR 2.3, 95% CI 1.37-3.8). The definitions of disease worsening/new visceral organ involvement were too inexact to have any confidence in the results, although worsening or new disease manifestations during pregnancy in 44/307 cases (14.3%) and 6 months postpartum in 32/306 cases (10.5%) were reported. The data did not permit definition of predictors of disease progression and of maternal and fetal outcomes. CONCLUSION: Pregnancies involving SSc have increased frequency of miscarriages, IUGR, preterm deliveries, and newborns with low birth weight compared to healthy controls. Women with SSc were more prone to develop gestational HTN and to undergo cesarean delivery. Disease manifestations seem to remain stable or improve in most patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".