SynthesisBJOG : an international journal of obstetrics and gynaecology2026
Towards the Development of a Conceptual Framework of the Determinants of Pre-Eclampsia: A Hierarchical Systematic Review of Biomarkers.
Synthesis in BJOG : an international journal of obstetrics and gynaecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
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
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Towards the Development of a Conceptual Framework of the Determinants of Pre-Eclampsia: A Hierarchical Systematic Review of Biomarkers.BJOG : an international journal of obstetrics and gynaecology · 2026Pooled it
- Integrating Social and Clinical Determinants of Pre-Eclampsia: A Hierarchical Systematic Review and Conceptual Framework for Prevention.BJOG : an international journal of obstetrics and gynaecology · 2026Pooled it
- Determinants of Pre-Eclampsia: Advancing a Conceptual Framework.BJOG : an international journal of obstetrics and gynaecology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
backgroundPre-eclampsia is a leading cause of maternal and perinatal morbidity and mortality. There are several determinants of individual pregnant women's risk of developing pre-eclampsia, including biomarkers and ultrasound markers.
objectiveA conceptual framework to collate and summarise the extensive body of literature on biomarkers (including ultrasound markers) associated with pre-eclampsia, through a hierarchical systematic literature review. SEARCH STRATEGY: Medline, Embase, Health Technology Assessments, Database of Abstracts of Reviews of Effects, Cochrane Library were searched until April 2024. SELECTION CRITERIA: Reviews and cohort studies (> 100 participants) reporting biomarkers associated with pre-eclampsia were included. DATA COLLECTION AND ANALYSIS: Studies were screened by title, then abstract and full text. Evidence was prioritised from umbrella reviews, followed by systematic reviews and then observational studies. Associations were assessed for strength of association and quality of evidence using GRADE. MAIN
resultsThe biomarker domain included 40 individual determinants of pre-eclampsia. Of these, there were 18 biomarkers with definite or probable associations based on moderate-strong quality evidence across markers of angiogenic imbalance, fetal-placental unit function, inflammatory and immune markers, and physiological markers. Vascular endothelial growth factor, human chorionic gonadotropin, inhibin-A, maternal serum placental protein-13, and interferon-gamma had definite associations based on high-quality evidence.
conclusionBiomarkers associated with the development of pre-eclampsia highlight the multi-factorial aetiology of the syndrome. The addition of biomarkers, including ultrasound, will optimise the prediction of pre-eclampsia and enable individualised risk stratification.
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What Socratic 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 Socratic graph.