Evidence map›Paper›PMID 31230129›Full record

ReviewCurrent atherosclerosis reports2019

Primary and Secondary Prevention of Cardiovascular Disease in Patients with Chronic Kidney Disease.

Sehrish Ali, Natasha Dave, Salim S Virani, Sankar D Navaneethan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Effect of Cardiac Rehabilitation on Cardiovascular Events in Patients With Advanced Chronic Kidney Disease.Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Ten things to know about ten cardiovascular disease risk factors - 2022.American journal of preventive cardiology · 2022
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Ten things to know about ten cardiovascular disease risk factors.American journal of preventive cardiology · 2021
    Review
  17. Mechanisms of cognitive dysfunction in CKD.Nature reviews. Nephrology · 2020
    Review
  18. 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

4 authors.

Sehrish AliSelzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Suite 100-37D, Houston, TX, 77030, USA.
Natasha DaveSelzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Suite 100-37D, Houston, TX, 77030, USA.
Salim S ViraniSection of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Sankar D NavaneethanSelzman Institute for Kidney Health, Section of Nephrology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Suite 100-37D, Houston, TX, 77030, USA. sankar.navaneethan@bcm.edu.

Funding

Visceral Adiposity and Physical Fitness in CKDR01DK101500 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI NAVANEETHAN, SANKAR DASS · 2014 to 2018
$3.0M
NIDDK NIH HHS R01 DK101500
6 · The paper itself

Abstract

purpose of reviewNon-dialysis-dependent chronic kidney disease (NDD-CKD) patients are at an increased risk of cardiovascular disease (CVD)-related deaths in comparison with the general population. This review summarizes recent guideline recommendations and studies on primary and secondary prevention of traditional cardiovascular (CV) risk factors in those with NDD-CKD. RECENT

findingsThe use of antiplatelet agents for primary prevention in CKD is not supported by clinical trial evidence; however, they offer potential benefits when used for secondary prevention of CVD in the absence of an elevated bleeding risk. Lipid-lowering therapy reduces CV risk and is recommended for all NDD-CKD patients. In light of recent clinical trial findings, current clinical practice guidelines recommend a blood pressure (BP) goal < 130/80 mmHg and support the use of renin-angiotensin-aldosterone system inhibitors. Evidence supporting intensive glycemic control is limited in those with diabetes and CKD. Newer oral glycemic agents such as sodium-glucose co-transporter type 2 (SGLT2) inhibitors and glucagon-like-peptide-1 (GLP-1) receptor agonists reduce urinary albumin excretion, slow kidney disease progression, and reduce CV events. Despite the absence of dedicated clinical trials in the CKD population, lifestyle modifications including smoking cessation, intentional weight loss, and regular physical activity should be recommended to those with CKD. Patients with NDD-CKD should be treated with statins and a BP target of 130/80 mmHg should be aimed for. Limited data exists for interventions targeting other CV risk factors in CKD patients. Future studies examining the impact of various interventions targeting different primary and secondary CV prevention strategies are needed to fill knowledge gaps and improve CV outcomes.

Indexed as

Primary PreventionSecondary PreventionAntihypertensive AgentsCardiovascular DiseasesExerciseHumansHydroxymethylglutaryl-CoA Reductase InhibitorsPractice Guidelines as TopicRenal Insufficiency, ChronicRisk FactorsSmoking CessationWeight LossAntihypertensive AgentsHydroxymethylglutaryl-CoA Reductase InhibitorsBlood pressureCardiovascular diseaseDiabetesHyperlipidemiaKidney diseaseObesity

Identifiers

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.