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Record W4417450506 · doi:10.1016/j.ajog.2025.12.039

Postpartum management of the hypertensive disorders of pregnancy: a systematic review and meta-analysis

2025· article· en· W4417450506 on OpenAlexaff
Isabel Tol, Asma Khalil, Alexandra Cairns, Richard J. McManus, Jeffrey N. Bone, Peter von Dadelszen, Laura A. Magee

Bibliographic record

VenueAmerican Journal of Obstetrics and Gynecology · 2025
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsBC Children's Hospital
FundersNational Institute for Health and Care Research Applied Research Collaboration Oxford and Thames ValleyUniversity of OxfordNational Institute for Health and Care Research
KeywordsEnalaprilBlood pressureAmlodipinePostpartum periodACE inhibitorPharmacotherapy

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the effectiveness and safety of management strategies for postpartum hypertension. DATA SOURCES: We searched the Cochrane Pregnancy and Childbirth's Trials Register in collaboration with their Information Specialist, on October 20, 2022. As the Pregnancy and Childbirth Review Group closed (2023), we updated our literature search on September 17, 2024 (topped up on September 25, 2025), using a strategy developed with an information specialist from the Royal College of Physicians, United Kingdom. STUDY ELIGIBILITY CRITERIA: We included randomized controlled trials assessing any intervention (pharmacological, surgical, or models of care) used to reduce maternal blood pressure in participants with postpartum hypertension. STUDY APPRAISAL AND SYNTHESIS METHODS: Search results were screened independently by 2 authors, with any disagreement resolved by consensus. Data were extracted independently, onto a Cochrane-based bespoke form which included Cochrane's Trustworthiness Screening Tool. Random-effects meta-analysis was performed in RevMan. RESULTS: Of the 944 studies identified, 40/44 included had informative data. Certainty of evidence was low or very low. There were no safety concerns. In 7 trials (n=1113 participants) of diuretics (primarily furosemide) vs placebo/no therapy, blood pressure control was better with diuretics when administered alongside antihypertensive. In 3 trials (n=96) of antihypertensive vs placebo, data were insufficient to inform effectiveness. In 9 trials (n=865) of antihypertensive (4 types) vs another (3 types) for nonsevere hypertension, additional antihypertensive need was similar in comparisons with either nifedipine or methyldopa, but greater when amlodipine or either enalapril or lisinopril/thiazide were compared with nifedipine. In 8 trials (n=403) of antihypertensive vs another for severe hypertension, blood pressure was lower with diltiazem (vs nifedipine). In 4 trials (n=668) of uterine curettage vs usual care, observed improvements in laboratory parameters were of unclear clinical significance. In 9 trials (n=1263) of models of postnatal care (usually blood pressure self-monitoring/management, N=6) vs usual care, blood pressure was lower 8 months postpartum following blood pressure self-monitoring/management or lifestyle change. CONCLUSION: While diuretics may aid in blood pressure control, they cannot be recommended as monotherapy. Evidence guiding the optimal choice of antihypertensive agents remains limited. Of greatest relevance to practice is the effectiveness of: enalapril or amlodipine (vs nifedipine) in controlling blood pressure; and blood pressure self-measurement/management or lifestyle change (vs usual care) in preventing longer-term cardiovascular outcomes.

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)0.022
metaresearch head score (Gemma)0.045
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 score0.022
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.045
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0220.035
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.274
Teacher spread0.255 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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