Evidence map›Paper›PMID 20884826›Full record

ArticleMayo Clinic proceedings2010

The utility of cardiopulmonary exercise testing to detect and track early-stage ischemic heart disease.

Sundeep Chaudhry, Ross A Arena, James E Hansen, Gregory D Lewis, Jonathan N Myers, Laurence S Sperling, Brian D Labudde, Karlman Wasserman

Erratum issuedOpen access · bronzeAbstract readCase Reports
In one paragraph

Article in Mayo Clinic proceedings, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.2field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

8 authors at 7 institutions in 2 countries.

Sundeep ChaudhryResearch and Development Department, MET-TEST, Atlanta, GA, USA. schaudhry@mettest.net
Ross A Arena
James E Hansen
Gregory D Lewis
Jonathan N Myers
Laurence S Sperling
Brian D Labudde
Karlman Wasserman
Harbor–UCLA Medical Center · USAID Atlanta · USEmory University · USMassachusetts General Hospital · USMetal Industries Research & Development Centre · TWVA Palo Alto Health Care System · USVirginia Commonwealth University · US

Funding

Senior Research Career ScientistIK6RX002477 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI MYERS, JONATHAN N. · 2017 to 2025
–
RRD VA IK6 RX002477
6 · The paper itself

Abstract

Evidence demonstrating the potential value of noninvasive cardiopulmonary exercise testing (CPET) to accurately detect exercise-induced myocardial ischemia is emerging. This case-based concept report describes CPET abnormalities in an asymptomatic at-risk man with suspected early-stage ischemic heart disease. When CPET was repeated 1 year after baseline assessment, his cardiovascular function had worsened, and an anti-atherosclerotic regimen was initiated. When the patient was retested after 3.3 years, the diminished left ventricular function had reversed with pharmacotherapy directed at decreasing cardiovascular events in patients with coronary artery disease. Thus, in addition to identifying appropriate patients in need of escalating therapy for atherosclerosis, CPET was useful in monitoring progression and reversal of abnormalities of the coronary circulation in a safe and cost-effective manner without the use of radiation. Serial CPET parameters may be useful to track changes marking the progression and/or regression of the underlying global ischemic burden.

Indexed as

AdultAnaerobic ThresholdCholesterol, LDLDisease ProgressionExercise TestFollow-Up StudiesHeart RateHumansMaleMyocardial IschemiaOxygen ConsumptionReproducibility of ResultsCholesterol, LDL

Identifiers

PMID20884826
PMCPMC2947965
OpenAlexW2116121509

What OpenQuestion holds

Textmetadata
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.