Evidence map›Paper›PMID 41636024›Full record

ArticleHypertension (Dallas, Tex. : 1979)2026

Determinants of Placental Versus Maternal Preeclampsia.

Omonigho Aisagbonhi, Marni B Jacobs, Morgan Meads, Valentina Stanley, Leah M Lamale-Smith, Ukachi N Emeruwa, Louise C Laurent, Kathleen M Fisch, Mariko Horii

Abstract readComparative Study
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

9 authors.

Omonigho AisagbonhiDepartment of Pathology (O.A., M.M., M.H.), University of California, San Diego.ORCID 0000-0001-7855-8619
Marni B JacobsCenter for Perinatal Discovery (O.A., M.B.J., M.M., L.C.L., K.M.F., M.H.), University of California, San Diego.ORCID 0000-0001-6649-6692
Morgan MeadsDepartment of Pathology (O.A., M.M., M.H.), University of California, San Diego.ORCID 0000-0002-5970-7356
Valentina StanleyDepartment of Obstetrics, Gynecology and Reproductive Sciences (M.B.J., V.S., L.M.L.-S., U.N.E., L.C.L., K.M.F.), University of California, San Diego.ORCID 0000-0002-2212-7796
Leah M Lamale-SmithDepartment of Obstetrics, Gynecology and Reproductive Sciences (M.B.J., V.S., L.M.L.-S., U.N.E., L.C.L., K.M.F.), University of California, San Diego.ORCID 0000-0003-0572-3980
Ukachi N EmeruwaDepartment of Obstetrics, Gynecology and Reproductive Sciences (M.B.J., V.S., L.M.L.-S., U.N.E., L.C.L., K.M.F.), University of California, San Diego.ORCID 0000-0002-5876-6960
Louise C LaurentCenter for Perinatal Discovery (O.A., M.B.J., M.M., L.C.L., K.M.F., M.H.), University of California, San Diego.ORCID 0000-0002-2095-7534
Kathleen M FischCenter for Perinatal Discovery (O.A., M.B.J., M.M., L.C.L., K.M.F., M.H.), University of California, San Diego.ORCID 0000-0002-0117-7444
Mariko HoriiDepartment of Pathology (O.A., M.M., M.H.), University of California, San Diego.ORCID 0000-0002-4996-6792

Funding

CTSA UM1 Program at University of California San Diego Altman Clinical and Translational Research InstituteUM1TR005449 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Michael A Hogarth, David Mitchell Smith · 2025 to 2026
$20.6M
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
Identifying placental injury pathways in women of African ancestry with severe preeclampsiaR21HD110611 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AISAGBONHI, OMONIGHO AUGUSTINA · 2023 to 2023
$435k
NCATS NIH HHS UM1 TR005449NICHD NIH HHS R21 HD110611NIH HHS S10 OD026929
6 · The paper itself

Abstract

backgroundThe placenta is known to be critical in the etiology of preeclampsia. However, there is a subset of preeclampsia cases without identifiable placental pathology. We evaluated which clinical preeclampsia classification system best distinguishes preeclampsia with placental pathology from preeclampsia without placental pathology.

methodsWe evaluated 5 placental pathological features in 197 placentas from patients with preeclampsia grouped by 3 clinical preeclampsia subclasses: (1) preeclampsia with calculated infant birthweight <10th percentile for gestational age (small for gestational age [SGA] preeclampsia) versus preeclampsia with birthweight ≥10th percentile for gestational age (not SGA preeclampsia); (2) preeclampsia with delivery before 34 weeks of gestation (early delivery preeclampsia) versus preeclampsia with delivery at or after 34 weeks of gestation (late delivery preeclampsia); and (3) preeclampsia with severe features versus preeclampsia without severe features. Clinical, histological and molecular findings in patients with preeclampsia were compared with normotensive patients, with and without SGA infants (N=1078 total).

resultsThe SGA versus not small for gestational age preeclampsia classification system performed best (likelihood ratios [95% CI] for ≥3 of 5 placental pathological findings: 15.7 [6.5-38.1] in SGA preeclampsia versus not small for gestational age preeclampsia; 6.8 [4.3-10.8] in early delivery preeclampsia versus late delivery preeclampsia; and 5.2 [1.95-14.1] in preeclampsia with severe features versus preeclampsia without severe features; all

conclusionsClassifying preeclampsia based on birthweight percentile for gestational age is the most useful system for consistently identifying preeclampsia associated with placental pathology.

Indexed as

PlacentaPre-EclampsiaAdultBirth WeightFemaleGestational AgeHumansInfant, NewbornInfant, Small for Gestational AgePregnancybirth weightglycolysishumanshypoxiainfantspre-eclampsiapregnancy

Identifiers

PMID41636024
PMCPMC13098728

What Socratic holds

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Registered trials

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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.