Evidence map›Paper›PMID 34345940›Full record

ReviewCurrent atherosclerosis reports2021

Management of Hypercholesterolemia in Pregnant Women with Atherosclerotic Cardiovascular Disease.

Aneesha Thobani, Lauren Hassen, Laxmi S Mehta, Anandita Agarwala

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. 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 at 3 institutions in 1 country.

Aneesha ThobaniDepartment of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Lauren HassenDepartment of Medicine, Division of Cardiology, The Ohio State University, Columbus, OH, USA.
Laxmi S MehtaDepartment of Medicine, Division of Cardiology, The Ohio State University, Columbus, OH, USA.
Anandita AgarwalaDepartment of Medicine, Division of Cardiology, Baylor Scott and White, The Health Heart Hospital Baylor Plano, 1100 Allied Dr., Plano, TX, 75093, USA. Anandita.kulkarni@bswhealth.org.ORCID 0000-0002-9273-7936
The Ohio State University · USBaylor Medical Center at Garland · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewIn this review, we discuss strategies for managing dyslipidemia in pregnant women with ASCVD. RECENT

findingsCardiovascular disease (CVD) is the leading cause of mortality in women as well as the leading cause of pregnancy-related mortality in the USA. It is paramount to screen, identify, counsel, and treat women of childbearing age who have existing atherosclerotic disease to mitigate the risks of complications and mortality. Dyslipidemias, including hypercholesterolemia and hyperlipidemia, can further enhance the risk for future CVD events. Treating hypercholesterolemia during pregnancy is crucial, and this is an opportune time for cross-collaboration of subspecialties in cardiology, obstetrics, and gynecology.

Indexed as

AtherosclerosisCardiovascular DiseasesDyslipidemiasHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaFemaleHumansPregnancyPregnant PeopleRisk FactorsHydroxymethylglutaryl-CoA Reductase InhibitorsAtherosclerosisCardiovascular diseaseDyslipidemiaHypercholesterolemiaPregnancyStatin

Identifiers

PMID34345940
OpenAlexW3193235162

What OpenQuestion holds

Texttitle and abstract
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.