ArticlePloS one2026
Predictors of preeclampsia with severe features: A multi-center analysis of maternal and health system factors in Thai tertiary hospitals.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPreeclampsia (PE) with severe features threatens maternal and neonatal health. This study examined maternal and health-service factors associated with severe features and compared maternal and neonatal outcomes in Thailand.
methodsThis case-control study enrolled 156 postpartum women with PE (52 with and 104 without severe features) and 111 nurse-midwives in antenatal care, labor, and postpartum units across four Thai tertiary hospitals. Data were collected using postpartum and nurse-midwife questionnaires, and a maternal-neonatal health record form. Group differences were assessed using independent t-test, chi-square or Fisher's exact tests. Multivariable binary logistic regression examined factors associated with severe features, adjusting for antenatal care visits and gravidity.
resultsWomen with severe features more often had a history of PE (32.7% vs. 13.5%, p = 0.006) and differed in BMI distribution (p = 0.007). Three maternal factors were independently associated with severe features: history of PE (aOR = 5.99, 95% CI 2.13-16.83), BMI (aOR = 0.92 per kg/m2, 95% CI 0.86-0.98), and moderate versus low PE knowledge (aOR = 0.13, 95% CI 0.04-0.50). No health-service variable, including nurse training, was independently associated with severe features after adjustment (all p > 0.05). The model explained 29.4% (Nagelkerke R2) of the variance in PE severity and correctly classified 75.8% of cases. Infant birth weight was lower among women with severe features (p < 0.05); delivery mode, hospital stay, birth asphyxia, and NICU admission did not differ significantly.
conclusionA history of PE was associated with higher odds, and moderate (versus low) PE knowledge and higher BMI with lower odds, of severe features. These findings support prioritizing screening for prior PE history and structured antenatal knowledge counseling, together with adequately powered, multilevel studies to clarify the role of health-service factors in PE severity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.