Evidence map›Paper›PMID 28432662›Full record

ReviewCurrent cardiology reports2017

Targeting LDL Cholesterol: Beyond Absolute Goals Toward Personalized Risk.

Morton Leibowitz, Chandra Cohen-Stavi, Sanjay Basu, Ran D Balicer

Abstract readReview
In one paragraph

Review in Current cardiology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. High Hydrostatic Pressure Induces a Lipid Phase Transition and Molecular Rearrangements in Low-Density Lipoprotein Nanoparticles.Particle & particle systems characterization : measurement and description of particle properties and behavior in powders and other disperse systems · 2018
    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.

Morton LeibowitzClalit Research Institute, Chief Physician's Office, Clalit Health Services, 101 Arlozorov Street, Tel Aviv, Israel. LeibowM@clalit.org.il.
Chandra Cohen-StaviClalit Research Institute, Chief Physician's Office, Clalit Health Services, 101 Arlozorov Street, Tel Aviv, Israel.
Sanjay BasuStanford University, Medical School Office Building X-322, 1265 Welch Road, Mail Code 5411, Stanford, CA, 94305, USA.
Ran D BalicerClalit Research Institute, Chief Physician's Office, Clalit Health Services, 101 Arlozorov Street, Tel Aviv, Israel.

Funding

Trial of strategies to communicate genetic information to different ethnic and racial subpopulationsU54MD010724 · NIMHD · STANFORD UNIVERSITY · PI MALDONADO, YVONNE A. · 2016 to 2021
$16.3M
Studying social factors in sodium consumption to reduce hypertension disparitiesK08HL121056 · NHLBI · STANFORD UNIVERSITY · PI BASU, SANJAY · 2014 to 2017
$599k
NHLBI NIH HHS K08 HL121056NIMHD NIH HHS U54 MD010724
6 · The paper itself

Abstract

purpose of reviewThe aim of this study was to review and assess the evidence for low-density lipoprotein cholesterol (LDL-C) treatment goals as presented in current guidelines for primary and secondary prevention of cardiovascular disease. RECENT

findingsDifferent sets of guidelines and clinical studies for secondary prevention have centered on lower absolute LDL-C targets [<70 mg/dL (<1.8 mmol/L)], greater percent reductions of LDL-C (≥50%), or more intense treatment to achieve greater reductions in cardiovascular risk. Population-based risk models serve as the basis for statin initiation in primary prevention. Reviews of current population risk models for primary prevention show moderate ability to discriminate [with c-statistics ranging from 0.67 to 0.77 (95% CIs from 0.62 to 0.83) for men and women] with poor calibration and overestimation of risk. Individual clinical trial data are not compelling to support specific LDL-C targets and percent reductions in secondary prevention. Increasing utilization of electronic health records and data analytics will enable the development of individualized treatment goals in both primary and secondary prevention.

Indexed as

Cardiovascular DiseasesCholesterol, LDLFemaleGoalsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHyperlipoproteinemiasMalePrecision MedicinePrimary PreventionRisk FactorsSecondary PreventionCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsCardiovascular disease preventionLow-density lipoprotein cholesterolMajor adverse cardiac eventsStatins

Identifiers

PMID28432662
PMCPMC5815375

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
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.