Evidence map›Paper›PMID 34599375›Full record

ReviewCurrent cardiology reports2021

Stroke Prevention After Intracerebral Hemorrhage: Where Are We Now?

Hae Young Baang, Kevin N Sheth

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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.

Hae Young BaangDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine & Yale New Haven Hospital, 15 York Street, Building LLCI, 10thFloor Suite 1003, P.O. Box 20818, New Haven, CT, 06520, USA. Haeyoung.baang@yale.edu.ORCID http://orcid.org/0000-0002-4273-3320
Kevin N ShethDivision of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine & Yale New Haven Hospital, 15 York Street, Building LLCI, 10thFloor Suite 1003, P.O. Box 20818, New Haven, CT, 06520, USA.
Yale New Haven Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewPatients after intracerebral hemorrhage (ICH) are at high risk of both ischemic stroke and recurrent ICH, and stroke prevention after ICH is important to improve the long-term outcomes in this patient population. The objective of this article is to review the current guidelines on stroke prevention measures after ICH as well as the new findings and controversies for future guidance. RECENT

findingsIntensive blood pressure reduction might benefit ICH survivors significantly. Cholesterol levels and the risk of ICH have an inverse relationship, but statin therapy after ICH might be still beneficial. Anticoagulation in atrial fibrillation after ICH specifically with novel oral anticoagulants may be associated with better long-term outcomes. Left atrial appendage occlusion may be an alternative for stroke prevention in ICH survivors with atrial fibrillation for whom long-term anticoagulation therapy is contraindicated. While complete individualized risk assessment is imperative to prevent stroke after ICH, future research is required to address current controversies and knowledge gap in this topic.

Indexed as

Atrial FibrillationStrokeAnticoagulantsCerebral HemorrhageHumansRisk AssessmentAnticoagulantsAntithrombotic therapyAtrial fibrillationBlood pressureIntracerebral hemorrhageStatinStroke prevention

Identifiers

PMID34599375
OpenAlexW3202758485

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.