Evidence map›Paper›PMID 42479285›Full record

ReviewCurrent hypertension reports2026

Toward Precision Aspirin Prophylaxis: Optimal Aspirin Dosing For Prevention of Preeclampsia.

Priyanka Gaur, Rachel Friedlander, Line Malha, Amrin Khander

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hypertension reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Priyanka GaurDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, USA. ljy9006@nyp.org.
Rachel FriedlanderDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, USA.
Line MalhaDepartment of Obstetrics & Gynecology, Weill Cornell Medicine, New York, NY, USA.
Amrin KhanderDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo review contemporary evidence regarding optimal aspirin dosing for prevention of preeclampsia, focusing on dose-response relationships, timing of initiation, and phenotype-specific prophylaxis. RECENT

findingsRecent trials and meta-analyses have produced conflicting findings regarding whether higher-dose aspirin (100-162 mg daily) provides greater protection against preeclampsia than conventional 75-81 mg regimens. Benefit appears greatest in placental-risk phenotypes and select high-risk populations, including patients with obesity, multifetal gestation, chronic hypertension, diabetes, and multiple concurrent risk factors. Pharmacokinetic studies indicate altered aspirin metabolism and reduced platelet inhibition during pregnancy, supporting biologic plausibility for higher-dose strategies. However, pragmatic real-world studies remain mixed, and definitive recommendations are lacking. Aspirin efficacy is phenotype-dependent, and optimal dosing likely varies according to placental biology, pharmacokinetics, and baseline risk. Emerging evidence supports individualized prophylaxis emphasizing early initiation and consideration of higher-dose aspirin in select high-risk populations.

Indexed as

AspirinPlatelet Aggregation InhibitorsPre-EclampsiaDose-Response Relationship, DrugFemaleHumansPrecision MedicinePregnancyRisk FactorsAspirinPlatelet Aggregation InhibitorsAspirinDosingHigh-doseLow-dosePreeclampsiaProphylaxis

Identifiers

What OpenQuestion 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 OpenQuestion graph.