Article in Hypertension (Dallas, Tex. : 1979), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.
2 · The registry
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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
12 authors.
Mark A HlatkyDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.ORCID 0000-0003-4686-9441
Chi-Hung ShuDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.ORCID 0009-0009-3486-8856
David K StevensonDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.
Gary M ShawDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.
Marcia L StefanickDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.ORCID 0000-0002-0284-6996
Heather A BoydDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.ORCID 0000-0001-6849-9985
Mads MelbyeDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.ORCID 0000-0001-8264-6785
Xi Du PlummerDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.ORCID 0000-0003-1581-5053
Oshra SedanDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.
Ronald J WongDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.ORCID 0000-0003-1205-6936
Nima AghaeepourDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.
Virginia D WinnDepartments of Anesthesia, Health Policy, Medicine, Obstetrics and Gynecology, and Pediatrics, Stanford University School of Medicine; Department of Epidemiology Research, Statens Serum Institut; Danish Cancer Institute, and Department of Clinical Medicine, University of Copenhagen, Denmark.ORCID 0000-0003-1136-2907
Funding
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Preeclampsia to cardiovascular disease: Life course analysis of biomarkers and riskR01HL139844 · NHLBI · STANFORD UNIVERSITY · PI HLATKY, MARK A., WINN, VIRGINIA D · 2018 to 2021
backgroundA hypertensive disorder of pregnancy is associated with a higher risk of cardiovascular disease later in life, but the potential mechanistic links are unknown.
methodsWe recruited 2 groups of women, 1 during pregnancy and another at least 2 years after delivery. Cases had a hypertensive disorder of pregnancy, and controls had a normotensive pregnancy. The pregnancy cohort had study visits antepartum and postpartum; the mid-life group made a single study visit. We assayed 7288 plasma proteins, applied machine learning to identify proteomics signatures at each time point, and performed enrichment analyses to identify relevant biological pathways.
resultsThe pregnancy cohort (58 cases and 46 controls) had a mean age of 33.8 years, and the mid-life group (71 cases and 74 controls) had a mean age of 40.8 years. Protein levels differed significantly between cases and controls at each time point: 6233 antepartum, 189 postpartum, and 224 in mid-life. The postpartum protein signature discriminated well between cases and controls (c-index=0.78), and it also discriminated well in the independent mid-life samples (c-index=0.72). Pathway analyses identified differences in the complement and coagulation cascades that persisted across the antepartum, postpartum, and mid-life samples. The 28 proteins present in both the postpartum and mid-life signatures included 5 complement factors (3, B, H, H-related-1, and C1r-subcomponent-like) and coagulation factor IX.
conclusionsDifferences in protein expression persist for years after a hypertensive disorder of pregnancy. The consistent differences in the complement and coagulation pathways may contribute to the increased risk of later life cardiovascular disease.
Indexed as
Hypertension, Pregnancy-InducedPostpartum PeriodProteomeProteomicsAdultBiomarkersCase-Control StudiesComplement System ProteinsFactor IXFemaleHeart Disease Risk FactorsHumansMachine LearningPregnancyRisk AssessmentTime FactorsBiomarkersComplement System ProteinsFactor IXProteomecase-control studieshypertension, pregnancy-inducedmachine learningpre-eclampsiaproteomics
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.
Persistence of a Proteomic Signature After a Hypertensive Disorder of Pregnancy. · full record | OpenQuestion