Evidence map›Paper›PMID 24201165›Full record

ArticleBMJ (Clinical research ed.)2013

Pre-eclampsia rates in the United States, 1980-2010: age-period-cohort analysis.

Cande V Ananth, Katherine M Keyes, Ronald J Wapner

3 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 410 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
410citing papers in PubMed, 11 pooled it
37.6field-weighted citation impact, top 1% 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.

NCT02333240 nacompletednot on this mapstarted 2015, after this paper: background citation

Self-management of Postnatal Anti-hypertensive Treatment: a Trial Development Pilot Study

TypeinterventionalSponsorUniversity of OxfordRan2015 to 2016Enrolled101ConditionsPre-Eclampsia, Hypertension, Pregnancy-InducedArmsSelf-management of postnatal anti-hypertensive treatment
NCT04412681 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Using Precision Medicine for the Prediction and Prevention of Early Pre-eclampsia: A Feasibility Study at Sunnybrook Health Sciences Centre.

TypeinterventionalSponsorSunnybrook Health Sciences CentreRan2021 to 2022Enrolled1,000ConditionsPre-EclampsiaArmsEnhanced PE Screening
NCT04699825 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Cardiovascular Changes in the Infants of Mothers With Preeclampsia and Factors Associated With Neonatal Outcomes

TypeinterventionalSponsorAssiut UniversityRan2021 to 2022Enrolled20ConditionsPre-EclampsiaArmsCardiovascular and immunological changes
3 · Its place in the literature

Who cites it

410 citing papers in PubMed, 11 syntheses or guidelines pooled it, 949 citations in OpenAlex.

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  14. The Influence of Maternal Aerobic Exercise, Blood DHA and EPA Concentrations on Maternal Lipid Profiles.International journal of environmental research and public health · 2022
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  18. Hyperadhesive von Willebrand Factor Contributes to Pathogenesis of Preeclampsia.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Article
  19. Association between residential greenness and preeclampsia in Japan.Environmental epidemiology (Philadelphia, Pa.) · 2026
    Article
  20. Article

350 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Cande V AnanthDepartment of Obstetrics and Gynecology, College of Physicians and Surgeons, Columbia University, 622 West 168th Street, New York, NY 10032, USA.
Katherine M Keyes
Ronald J Wapner
Columbia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the contributions of biological aging, historical trends, and birth cohort effects on trends in pre-eclampsia in the United States.

designPopulation based retrospective study.

settingNational hospital discharge survey datasets, 1980-2010, United States.

participants120 million women admitted to hospital for delivery.

main outcome measuresTemporal changes in rates of mild and severe pre-eclampsia in relation to maternal age, year of delivery, and birth cohorts. Poisson regression as well as multilevel age-period-cohort models with adjustment for obesity and smoking were incorporated.

resultsThe rate of pre-eclampsia was 3.4%. The age-period-cohort analysis showed a strong age effect, with women at the extremes of maternal age having the greatest risk of pre-eclampsia. In comparison with women delivering in 1980, those delivering in 2003 were at 6.7-fold (95% confidence interval 5.6-fold to 8.0-fold) increased risk of severe pre-eclampsia. Period effects declined after 2003. Trends for severe pre-eclampsia also showed a modest birth cohort effect, with women born in the 1970s at increased risk. Compared with women born in 1955, the risk ratio for women born in 1970 was 1.2 (95% confidence interval 1.1 to 1.3). Similar patterns were also evident for mild pre-eclampsia, although attenuated. Changes in the population prevalence of obesity and smoking were associated with period and cohort trends in pre-eclampsia but did not explain the trends.

conclusionsRates of severe pre-eclampsia have been increasing in the United States and age-period-cohort effects all contribute to these trends. Although smoking and obesity have driven these trends, changes in the diagnostic criteria may have also contributed to the age-period-cohort effects. Health consequences of rising obesity rates in the United States underscore that efforts to reduce obesity may be beneficial to maternal and perinatal health.

Indexed as

Maternal AgeAdolescentAdultAgingFemaleHumansMiddle AgedObesityPre-EclampsiaPregnancyPrevalenceRetrospective StudiesRisk FactorsSmokingUnited StatesYoung Adult

Identifiers

PMID24201165
PMCPMC3898425
OpenAlexW2157381327

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.