Evidence map›Paper›PMID 40410291›Full record

SynthesisHypertension research : official journal of the Japanese Society of Hypertension2025

Blood pressure-lowering treatment for pregnant women with non-severe hypertension: a systematic review and meta-analysis.

Makiko Abe, Yukiko Shinohara, Naoko Arata, Hirohito Metoki, Ako Fukami, Hisatomi Arima, Asako Mito

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Hypertension research : official journal of the Japanese Society of Hypertension, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Hypertensive disorders of pregnancy and women's health throughout the life course: an update review 2025-2026.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
  2. Further optimization of morning blood pressure assessment in high-risk pregnancy.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  3. Advancing evidence-based blood pressure targets in JSH2025.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  4. The Japanese Society of Hypertension Guidelines for the management of elevated blood pressure and hypertension 2025 (JSH2025).Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Article
  5. Article
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

7 authors.

Makiko AbeDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan. mabe@fukuoka-u.ac.jp.
Yukiko ShinoharaDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Naoko ArataDivision of Women's Medicine, Center for Women's Health, National Center for Child Health and Development, Tokyo, Japan.
Hirohito MetokiDivision of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, Sendai, Japan.
Ako FukamiDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan.
Hisatomi ArimaDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Asako MitoDivision of Women's Medicine, Center for Women's Health, National Center for Child Health and Development, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertensive disorders of pregnancy (HDP) significantly affect maternal and fetal health worldwide. This meta-analysis evaluated the effects of blood pressure (BP)-lowering treatment and identified the optimal BP target for improving outcomes. A systematic review and meta-analysis of randomized controlled trials were performed using data from MEDLINE, Cochrane Library, and Ichushi databases. Outcomes included severe hypertension (systolic BP ≥160 mmHg and/or diastolic BP ≥110 mmHg), eclampsia, preeclampsia (PE), PE with severe features, HELLP syndrome, placental abruption, cesarean section, neonatal death, stillbirth, neonatal intensive care unit admission, low birth weight (<2500 g), preterm birth (<34 and <37 weeks), and small-for-gestational-age infants (<10th percentile). Data were pooled using a random-effects model, and meta-regression was conducted to explore interactions by HDP subtypes and achieved BP levels. BP-lowering treatment significantly reduced the risks of severe hypertension (risk ratio [RR] 0.477, 95% confidence interval [CI], 0.391-0.582), PE (RR 0.819, 95% CI, 0.704-0.954), and preterm birth at <37 weeks (RR 0.856, 95% CI, 0.770-0.951), compared with placebo or no treatment. Moderate heterogeneity was observed for several outcomes, and publication bias was noted for severe hypertension and low birth weight. Subgroup analyses found no significant interaction between treatment effect and HDP subtypes (except for placental abruption) or achieved BP levels. Among pregnant women with non-severe hypertension (systolic BP 140-159 mmHg and/or diastolic BP 90-109 mmHg), targeting <140/90 mmHg significantly reduced the risks of severe hypertension, PE, and preterm birth at <37 weeks, suggesting this target as optimal for improving maternal and fetal outcomes.

Indexed as

Antihypertensive AgentsBlood PressureHypertensionHypertension, Pregnancy-InducedFemaleHumansInfant, NewbornPregnancyPregnancy OutcomeRandomized Controlled Trials as TopicAntihypertensive AgentsBlood pressure-lowering treatmentHypertensive disorders of pregnancyMaternal and fetal outcomes

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.