Evidence map›Paper›PMID 27113053›Full record

ArticleHypertension (Dallas, Tex. : 1979)2016

Preconception Cardiovascular Risk Factor Differences Between Gestational Hypertension and Preeclampsia: Cohort Norway Study.

Grace M Egeland, Kari Klungsøyr, Nina Øyen, Grethe S Tell, Øyvind Næss, Rolv Skjærven

Open access · greenAbstract read
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
9.0field-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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Association Between Total Cholesterol-to-High-Density Lipoprotein Ratio and Gestational Hypertension: A Case-Control Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  5. Cardiac Implications of Preeclampsia: A Review.Journal of personalized medicine · 2026
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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

6 authors at 1 institution in 1 country.

Grace M EgelandFrom the Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway (G.M.E., K.K., N.Ø., G.S.T., R.S.); Health Data and Digitalization, Norwegian Institute of Public Health, Bergen, Norway (G.M.E., K.K., G.S.T., Ø.N., R.S.); and Institute of Health and Society, Blindern, University of Oslo, Oslo, Norway (Ø.N.). g.egeland@fhi.no.
Kari KlungsøyrFrom the Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway (G.M.E., K.K., N.Ø., G.S.T., R.S.); Health Data and Digitalization, Norwegian Institute of Public Health, Bergen, Norway (G.M.E., K.K., G.S.T., Ø.N., R.S.); and Institute of Health and Society, Blindern, University of Oslo, Oslo, Norway (Ø.N.).
Nina ØyenFrom the Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway (G.M.E., K.K., N.Ø., G.S.T., R.S.); Health Data and Digitalization, Norwegian Institute of Public Health, Bergen, Norway (G.M.E., K.K., G.S.T., Ø.N., R.S.); and Institute of Health and Society, Blindern, University of Oslo, Oslo, Norway (Ø.N.).
Grethe S TellFrom the Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway (G.M.E., K.K., N.Ø., G.S.T., R.S.); Health Data and Digitalization, Norwegian Institute of Public Health, Bergen, Norway (G.M.E., K.K., G.S.T., Ø.N., R.S.); and Institute of Health and Society, Blindern, University of Oslo, Oslo, Norway (Ø.N.).
Øyvind NæssFrom the Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway (G.M.E., K.K., N.Ø., G.S.T., R.S.); Health Data and Digitalization, Norwegian Institute of Public Health, Bergen, Norway (G.M.E., K.K., G.S.T., Ø.N., R.S.); and Institute of Health and Society, Blindern, University of Oslo, Oslo, Norway (Ø.N.).
Rolv SkjærvenFrom the Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway (G.M.E., K.K., N.Ø., G.S.T., R.S.); Health Data and Digitalization, Norwegian Institute of Public Health, Bergen, Norway (G.M.E., K.K., G.S.T., Ø.N., R.S.); and Institute of Health and Society, Blindern, University of Oslo, Oslo, Norway (Ø.N.).
Norwegian Institute of Public Health · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preconception predictors of gestational hypertension and preeclampsia may identify opportunities for early detection and improve our understanding of the pathogenesis and life course epidemiology of these conditions. Female participants in community-based Cohort Norway health surveys, 1994 to 2003, were prospectively followed through 2012 via record linkages to Medical Birth Registry of Norway. Analyses included 13 217 singleton pregnancies (average of 1.59 births to 8321 women) without preexisting hypertension. Outcomes were gestational hypertension without proteinuria (n=237) and preeclampsia (n=429). Mean age (SD) at baseline was 27.9 years (4.5), and median follow-up was 4.8 years (interquartile range 2.6-7.8). Gestational hypertension and preeclampsia shared several baseline risk factors: family history of diabetes mellitus, pregravid diabetes mellitus, a high total cholesterol/high-density lipoprotein cholesterol ratio (>5), overweight and obesity, and elevated blood pressure status. For preeclampsia, a family history of myocardial infarction before 60 years of age and elevated triglyceride levels (≥1.7 mmol/L) also predicted risk while physical activity was protective. Preterm preeclampsia was predicted by past-year binge drinking (≥5 drinks on one occasion) with an adjusted odds ratio of 3.7 (95% confidence interval 1.3-10.8) and by past-year physical activity of ≥3 hours per week with an adjusted odds ratio of 0.5 (95% confidence interval 0.3-0.8). The results suggest similarities and important differences between gestational hypertension, preeclampsia, and preterm preeclampsia. Modifiable risk factors could be targeted for improving pregnancy outcomes and the short- and long-term sequelae for mothers and offspring.

Indexed as

Pregnancy OutcomeAdultAge DistributionCardiovascular DiseasesCohort StudiesComorbidityFemaleHealth SurveysHumansHypertension, Pregnancy-InducedIncidenceMaternal AgeMaternal HealthMultivariate AnalysisNorwayPreconception Carealcohol consumptionbehaviorhypertensionlipidsobesitypreeclampsia

Identifiers

PMID27113053
PMCPMC4861703
OpenAlexW2345311914

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.