Evidence map›Paper›PMID 27239372›Full record

ReviewScientifica2016

Assessing Risk in Patients with Stable Coronary Disease: When Should We Intensify Care and Follow-Up? Results from a Meta-Analysis of Observational Studies of the COURAGE and FAME Era.

Umberto Barbero, Fabrizio D'Ascenzo, Freek Nijhoff, Claudio Moretti, Giuseppe Biondi-Zoccai, Marco Mennuni, Davide Capodanno, Marco Lococo, Michael J Lipinski, Fiorenzo Gaita

Open access · goldAbstract readReview
In one paragraph

Review in Scientifica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 34 citations in OpenAlex.

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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

10 authors at 6 institutions in 3 countries.

Umberto BarberoDivision of Cardiology, University of Turin, Turin, Italy.
Fabrizio D'AscenzoDivision of Cardiology, University of Turin, Turin, Italy; Meta-Analysis and Evidence Based Medicine Training in Cardiology (METCARDIO), Rome, Italy.
Freek NijhoffDepartment of Cardiology, University Medical Center Utrecht, Utrecht, Netherlands.
Claudio MorettiDivision of Cardiology, University of Turin, Turin, Italy; Meta-Analysis and Evidence Based Medicine Training in Cardiology (METCARDIO), Rome, Italy.
Giuseppe Biondi-ZoccaiDepartment of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy; Department of Angiocardioneurology, IRCCS Neuromed, Pozzilli, Italy.
Marco MennuniDepartment of Interventional Cardiology, Istituto Clinico Humanitas, IRCCS, Rozzano, Italy.
Davide CapodannoCardiothoracovascular Department, Ferrarotto Hospital, University of Catania, Catania, Italy.
Marco LococoDivision of Cardiology, University of Turin, Turin, Italy.
Michael J LipinskiMedStar Cardiovascular Research Network, MedStar Washington Hospital Center, Washington, DC, USA.
Fiorenzo GaitaDivision of Cardiology, University of Turin, Turin, Italy.
University of Turin · ITIRCCS Humanitas Research Hospital · ITResearch Network (United States) · USSapienza University of Rome · ITUniversity Medical Center Utrecht · NLUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. A large number of clinical and laboratory markers have been appraised to predict prognosis in patients with stable angina, but uncertainty remains regarding which variables are the best predictors of prognosis. Therefore, we performed a meta-analysis of studies in patients with stable angina to assess which variables predict prognosis. Methods. MEDLINE and PubMed were searched for eligible studies published up to 2015, reporting multivariate predictors of major adverse cardiac events (MACE, a composite endpoint of death, myocardial infarction, and revascularization) in patients with stable angina. Study features, patient characteristics, and prevalence and predictors of such events were abstracted and pooled with random-effect methods (95% CIs). Major adverse cardiovascular event (MACE) was the primary endpoint. Results. 42 studies (104,559 patients) were included. After a median follow-up of 57 months, cardiovascular events occurred in 7.8% of patients with MI in 6.2% of patients and need for repeat revascularization (both surgical and percutaneous) in 19.5% of patients. Male sex, reduced EF, diabetes, prior MI, and high C-reactive protein were the most powerful predictors of cardiovascular events. Conclusions. We show that simple and low-cost clinical features may help clinicians in identifying the most appropriate diagnostic and therapeutic approaches within the broad range of outpatients presenting with stable coronary artery disease.

Identifiers

PMID27239372
PMCPMC4863126
OpenAlexW2342865991

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.