Evidence map›Paper›PMID 30069020›Full record

SynthesisScientific reports2018

Comparison of Computed Tomography derived Fractional Flow Reserve to invasive Fractional Flow Reserve in Diagnosis of Functional Coronary Stenosis: A Meta-Analysis.

Pradyumna Agasthi, Arun Kanmanthareddy, Charl Khalil, Obiora Egbuche, Vivek Yarlagadda, Rajesh Sachdeva, Reza Arsanjani

Abstract readComparative StudyEvaluation StudyMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Role of non-invasive coronary imaging in stable angina.Global cardiology science & practice · 2024
    Review
  6. Unveiling the hidden link: deciphering the interplay between plaque characteristics and nuclear myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

7 authors.

Pradyumna AgasthiDivision of Cardiovascular Diseases, Mayo Clinic Arizona, Phoenix, Arizona, USA. pradyumna_agasthi@hotmail.com.
Arun KanmanthareddyDivision of Cardiovascular Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Charl KhalilDivision of Cardiovascular Diseases, Mayo Clinic Arizona, Phoenix, Arizona, USA.
Obiora EgbucheDivision of Cardiology, Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia.
Vivek YarlagaddaDepartment of Internal Medicine, Atlanticare Regional Medical Center, Atlantic City, New Jersey, USA.
Rajesh SachdevaDivision of Cardiology, Department of Medicine, Morehouse School of Medicine, Atlanta, Georgia.ORCID 0000-0002-7729-6247
Reza ArsanjaniDivision of Cardiovascular Diseases, Mayo Clinic Arizona, Phoenix, Arizona, USA.ORCID 0000-0001-7081-4286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed Tomography derived Fractional Flow Reserve (CTFFR) is an emerging non-invasive imaging modality to assess functional significance of coronary stenosis. We performed a meta-analysis to compare the diagnostic performance of CTFFR to invasive Fractional Flow reserve (FFR). Electronic search was performed to identify relevant articles. Pooled Estimates of sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-) and diagnostic odds ratio (DOR) with corresponding 95% confidence intervals (CI) were calculated at the patient level as well as the individual vessel level using hierarchical logistic regression, summary receiver operating characteristic (SROC) curve and area under the curve were estimated. Our search yielded 559 articles and of these 17 studies was included in the analysis. A total of 2,191 vessels in 1294 patients were analyzed. Pooled estimates of sensitivity, specificity, LR+, LR- and DOR with corresponding 95% CI at per-patient level were 83% (79-87), 72% (68-76), 3.0 (2.6-3.5), 0.23 (0.18-0.29) and 13 (9-18) respectively. Pooled estimates of sensitivity, specificity, LR+, LR- and DOR with corresponding 95% CI at per-vessel level were 85% (83-88), 76% (74-79), 3.6 (3.3-4.0), 0.19 (0.16-0.22) and 19 (15-24). The area under the SROC curve was 0.89 for both per patient level and at the per vessel level. In our meta-analysis, CTFFR demonstrated good diagnostic performance in identifying functionally significant coronary artery stenosis compared to the FFR.

Indexed as

Fractional Flow Reserve, MyocardialAdultAgedAged, 80 and overCoronary StenosisDiagnostic Tests, RoutineFemaleHumansMaleMiddle AgedROC CurveSensitivity and SpecificityTomography, X-Ray Computed

Identifiers

PMID30069020
PMCPMC6070545

What OpenQuestion holds

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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.