Evidence map›Paper›PMID 36924072›Full record

ArticleObstetrics & gynecology science2023

Preeclampsia and aspirin.

Tae Gyu Ahn, Jong Yun Hwang

Open access · diamondAbstract read
In one paragraph

Article in Obstetrics & gynecology science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.3field-weighted citation impact, top 4% 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.

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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  4. Review
  5. Review
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  7. Article
  8. Secondary prevention of preeclampsia.Frontiers in cell and developmental biology · 2025
    Review
  9. Article
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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

2 authors at 1 institution in 1 country.

Tae Gyu AhnDepartment of Obstetrics and Gynecology, Kangwon National University College of Medicine, Chuncheon, Korea.
Jong Yun HwangDepartment of Obstetrics and Gynecology, Kangwon National University College of Medicine, Chuncheon, Korea.
Kangwon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia (PE) is a multisystem disorder that is an important cause of maternal and perinatal deaths. Currently, delivery is the only final treatment for PE. This practice is usually accompanied by premature birth, which inevitably increases neonatal morbidities. Aspirin is a non-selective non-steroidal anti-inflammatory drug that irreversibly inhibits cyclooxygenase enzymes involved in converting arachidonic acid to prostaglandins and thromboxane. Aspirin inhibits thromboxane A2 production via platelet aggregation, thereby increasing the prostacyclin/thromboxane A2 ratio and reducing platelet aggregation. Since the first case report of aspirin's potential use during pregnancy was reported in 1978, many studies have attempted to confirm the effect of aspirin on PE, and the results have been controversial. However, this preventive strategy is generally accepted in clinical practice. As evidence for aspirin's prevention of PE has been accumulating, a recent study investigated the effectiveness of aspirin at high doses of 150 mg, which is higher than before. However, there is an ongoing debate about how much aspirin should be used during pregnancy and when to start aspirin therapy. Guidelines for the use of prophylactic aspirin during pregnancy vary slightly among countries and groups. In this article, we review and summarize the evidence regarding the use of aspirin for PE prevention.

Indexed as

AspirinCyclooxygenaseFirst trimester pregnancyHigh-risk pregnancyPreeclampsia

Identifiers

PMID36924072
PMCPMC10191759
OpenAlexW4327620079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.