Evidence map›Paper›PMID 39764814›Full record

ReviewBest practice & research. Clinical anaesthesiology2024

Preeclampsia and eclampsia: Enhanced detection and treatment for morbidity reduction.

Vesela P Kovacheva, Shakthi Venkatachalam, Claire Pfister, Tooba Anwer

Abstract readReview
In one paragraph

Review in Best practice & research. Clinical anaesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  3. 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

4 authors.

Vesela P KovachevaDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, L1, Boston, MA, 02115, USA. Electronic address: vkovacheva@bwh.harvard.edu.
Shakthi VenkatachalamDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, L1, Boston, MA, 02115, USA. Electronic address: sjvenkat81@gmail.com.
Claire PfisterUCT Department of Anaesthesia and Perioperative Medicine, Groote Schuur Hospital, Main Road, Observatory, Cape Town, Postal code 7935, South Africa. Electronic address: claire.pfister@gmail.com.
Tooba AnwerDivision of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, L1, Boston, MA, 02115, USA. Electronic address: tanwer@bwh.harvard.edu.

Funding

Personalized Postpartum Hemorrhage Prediction Using Machine Learning And Polygenic Risk ScoresK08HL161326 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Vesela Kovacheva · 2022 to 2026
$842k
NHLBI NIH HHS K08 HL161326
6 · The paper itself

Abstract

Preeclampsia is a life-threatening complication that develops in 2-8% of pregnancies. It is characterized by elevated blood pressure after 20 weeks of gestation and may progress to multiorgan dysfunction, leading to severe maternal and fetal morbidity and mortality. The only definitive treatment is delivery, and efforts are focused on early risk prediction, surveillance, and severity mitigation. Anesthesiologists, as part of the interdisciplinary team, should evaluate patients early in labor in order to optimize cardiovascular, pulmonary, and coagulation status. Neuraxial techniques are safe in the absence of coagulopathy and aid avoidance of general anesthesia, which is associated with high risk in these patients. This review aims to provide anaesthesiologists with a comprehensive update on the latest strategies and evidence-based practices for managing preeclampsia, with an emphasis on perioperative care.

Indexed as

EclampsiaPre-EclampsiaAnesthesia, ObstetricalFemaleHumansMorbidityPerioperative CarePregnancyAnesthesiologyBlood pressureEclampsiaHypertensive disorders of pregnancyPreeclampsiaPregnancy

Identifiers

PMID39764814
PMCPMC11707392

What OpenQuestion holds

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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.