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Record W4408405822 · doi:10.1097/hjh.0000000000003995

Risk factors for chronic hypertension 5 years after a pregnancy complicated by preeclampsia: a systematic review and meta-analysis

2025· review· en· W4408405822 on OpenAlexaboutno aff
Lotte Voskamp, Melek Rousian, Joni J Koerts, Régine P.M. Steegers‐Theunissen, A.H. Jan Danser, Koen Verdonk

Bibliographic record

VenueJournal of Hypertension · 2025
Typereview
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsnot available
FundersErasmus Universitair Medisch Centrum RotterdamErasmus Medisch Centrum
KeywordsMedicinePreeclampsiaPregnancyObstetricsMeta-analysisBlood pressureRisk factorHypertension in PregnancyConfidence intervalRelative riskInternal medicine

Abstract

fetched live from OpenAlex

Approximately 30% of women with a history of preeclampsia develop chronic hypertension within 10 years of pregnancy. This systematic review summarizes risk factors before, during, and immediately after pregnancy for the development of chronic hypertension 5 years after preeclampsia. Databases were searched with terms 'preeclampsia' and 'postpartum hypertension' or 'cardiovascular disease' up to 30th October 2023. Observational studies reporting chronic hypertension more than 5 years after preeclampsia were included. Quality was assessed using the Newcastle-Ottawa scale. Wherever possible, a meta-analysis was conducted. Twenty-one cohort and five case-control studies, with a median quality score of 8/10, were included, involving 197 793 patients and reporting 32 risk factors. Preeclampsia in a subsequent pregnancy is associated with chronic hypertension [risk ratio (RR) 2.26, 95% confidence interval (CI) 1.59-3.22, n = 45 626]. Other significant risk factors include early-onset of preeclampsia (<34 weeks gestation), maternal BMI, blood pressure, diabetes, and family history of hypertension.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.021
Bibliometrics0.0050.006
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.325
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Hypertension→Same topicPregnancy and preeclampsia studies→French-language works237,207→