Evidence map›Paper›PMID 39559616›Full record

ReviewCureus2024

Comparative Effectiveness of Novel Combination Therapies for Simultaneous Management of Hypertension and Hypercholesterolemia: A Systematic Review and Meta-Analysis.

Apurva Popat, Sweta Yadav

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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.

Apurva PopatInternal Medicine, Marshfield Clinic Health System, Marshfield, USA.
Sweta YadavInternal Medicine, Marshfield Clinic Health System, Marshfield, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension and hypercholesterolemia are the two most common modifiable risk factors for cardiovascular disease (CVD). Current guidelines recommend treating these risk factors simultaneously rather than in isolation. One prominent way to simultaneously treat the risk factors is by concurrently administering blood pressure (BP) lowering and lipid-lowering drugs (statins). However, there is still a controversy on which antihypertensive drugs to combine with statins for effective treatment. Therefore, the present meta-analysis assessed the efficacy of various antihypertensive agents combined with statins on BP and low-density lipoprotein cholesterol (LDL-C). PubMed, MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), and Google Scholar databases were searched thoroughly for records published in English up to February 2024. According to the PICOS (Patients, Intervention, Comparison, Outcomes, and Study design) criteria, randomized controlled trials (RCTs) evaluating the effectiveness of combination therapy of antihypertensives and statins in treating hypertension and hypercholesterolemia were eligible for inclusion. Furthermore, statistical analyses were performed using Review Manager software (RevMan version 5.4.1), and quality assessment was performed using the Cochrane risk of bias tool. Eight RCTs comprising 1,182 patients with hypertension and hypercholesterolemia were included. Compared to statin monotherapy, no significant difference in the change of LDL-C levels was observed in patients receiving combination therapy of angiotensin receptor blockers (ARBs) with statins (MD, -3.98;

Indexed as

angiotensin receptor blockersbeta blockerscalcium channel blockerscombination therapyhypercholesterolemiahypertensionprimary carestatins

Identifiers

PMID39559616
PMCPMC11573307

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.