Evidence map›Paper›PMID 25225209›Full record

Trial reportHypertension (Dallas, Tex. : 1979)2014

Increased levels of copeptin before clinical diagnosis of preeclampsia.

Edwina H Yeung, Aiyi Liu, James L Mills, Cuilin Zhang, Tuija Männistö, Zhaohui Lu, Michael Y Tsai, Pauline Mendola

Erratum issuedOpen access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Hypertension (Dallas, Tex. : 1979), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 2% of its field
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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Cardiovascular biomarkers and preeclampsia: A narrative review.European journal of clinical investigation · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Copeptin in Patients with Pregnancy-Induced Hypertension.International journal of environmental research and public health · 2021
    Article
  14. Article
  15. Article
  16. Review
  17. Angiotensin ATAmerican journal of physiology. Regulatory, integrative and comparative physiology · 2018
    Article
  18. Article
  19. Muscle sympathetic nerve activity and volume-regulating factors in healthy pregnant and nonpregnant women.American journal of physiology. Heart and circulatory physiology · 2017
    Article
  20. Maternal serum markers of lipid metabolism in relation to neonatal anthropometry.Journal of perinatology : official journal of the California Perinatal Association · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Edwina H YeungFrom the Epidemiology Branch (E.H.Y., J.L.M., C.Z., T.M., P.M.) and Biostatistics and Bioinformatics Branch (A.L.) in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Glotech, Inc, Rockville, MD (Z.L.); and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.). yeungedw@mail.nih.gov.
Aiyi LiuFrom the Epidemiology Branch (E.H.Y., J.L.M., C.Z., T.M., P.M.) and Biostatistics and Bioinformatics Branch (A.L.) in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Glotech, Inc, Rockville, MD (Z.L.); and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.).
James L MillsFrom the Epidemiology Branch (E.H.Y., J.L.M., C.Z., T.M., P.M.) and Biostatistics and Bioinformatics Branch (A.L.) in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Glotech, Inc, Rockville, MD (Z.L.); and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.).
Cuilin ZhangFrom the Epidemiology Branch (E.H.Y., J.L.M., C.Z., T.M., P.M.) and Biostatistics and Bioinformatics Branch (A.L.) in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Glotech, Inc, Rockville, MD (Z.L.); and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.).
Tuija MännistöFrom the Epidemiology Branch (E.H.Y., J.L.M., C.Z., T.M., P.M.) and Biostatistics and Bioinformatics Branch (A.L.) in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Glotech, Inc, Rockville, MD (Z.L.); and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.).
Zhaohui LuFrom the Epidemiology Branch (E.H.Y., J.L.M., C.Z., T.M., P.M.) and Biostatistics and Bioinformatics Branch (A.L.) in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Glotech, Inc, Rockville, MD (Z.L.); and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.).
Michael Y TsaiFrom the Epidemiology Branch (E.H.Y., J.L.M., C.Z., T.M., P.M.) and Biostatistics and Bioinformatics Branch (A.L.) in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Glotech, Inc, Rockville, MD (Z.L.); and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.).
Pauline MendolaFrom the Epidemiology Branch (E.H.Y., J.L.M., C.Z., T.M., P.M.) and Biostatistics and Bioinformatics Branch (A.L.) in the Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD; Glotech, Inc, Rockville, MD (Z.L.); and Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.).
Eunice Kennedy Shriver National Institute of Child Health and Human Development · USGlotech (United States) · USUniversity of Minnesota · US

Funding

Calcium Supplementation In Pregnancy To Prevent PreeclampsiaZIAHD000373 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YEUNG, EDWINA · 2009 to 2019
$949k
LAB TESTS OF URINE SAMPLES FROM THE CPEP CLINICN01HD053246 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI HORTIN, GLEN · 1995 to 1997
–
Intramural NIH HHS ZIA HD000373NICHD NIH HHS N01-HD-3121NICHD NIH HHS N01-HD-3122NICHD NIH HHS N01-HD-3123NICHD NIH HHS N01-HD-3124NICHD NIH HHS N01-HD-3125NICHD NIH HHS N01-HD-3126NICHD NIH HHS N01-HD-3154NICHD NIH HHS N01-HD-5-3246PHS HHS HHSN275201100002I-HHSN27500003
6 · The paper itself

Abstract

Copeptin, a surrogate biomarker of vasopressin, has been associated with renal function decline and may serve as a useful early biomarker for preeclampsia. We measured serum copeptin using samples collected longitudinally during pregnancy among unaffected controls (n=136) and cases of preeclampsia (n=169), gestational diabetes mellitus (n=92), gestational hypertension (n=101), and preterm birth (n=86) in the Calcium for Preeclampsia Prevention trial (1992-1995). Preeclampsia and gestational hypertension were defined as having a diastolic blood pressure≥90 mm Hg on 2 occasions with and without proteinuria, respectively. The risk of pregnancy complications associated with copeptin was estimated by logistic regression adjusting for maternal age, race, body mass index, insurance status, marital status, current smoking, and clinical site. Baseline copeptin levels, at mean 16 weeks of gestation, were associated with increased preeclampsia risk (adjusted odds ratios and 95% confidence interval being 1.55 per log unit; 1.03-2.31) when compared with controls (P=0.03). The association was stronger among cases diagnosed before 37 weeks (1.86; 1.08-3.20) than those diagnosed later (1.45; 0.91-2.32). Copeptin levels rose with increasing gestational age in both cases and controls but remained significantly higher among those who were diagnosed with preeclampsia. Differences in levels of copeptin between cases and controls became more apparent closer to time of diagnosis. No significant associations were found for gestational hypertension without proteinuria, gestational diabetes mellitus, or preterm birth without preeclampsia. Copeptin levels are elevated in pregnant women before diagnosis of preeclampsia with elevation specific to this pregnancy complication rather than hypertension alone.

Indexed as

Blood PressureBiomarkersDiagnosis, DifferentialFemaleGlycopeptidesHumansInfant, NewbornOdds RatioPre-EclampsiaPregnancyPregnancy OutcomeProtein PrecursorsReproducibility of ResultsRisk FactorsYoung AdultBiomarkerscopeptinsGlycopeptidesProtein Precursorscopeptin, humandiabetesgestationalhypertension, pregnancy-inducedpreeclampsia

Identifiers

PMID25225209
PMCPMC6155480
OpenAlexW2143792440

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.