Evidence map›Paper›PMID 38814186›Full record

SynthesisRadiology. Cardiothoracic imaging2024

Prognostic Value of Stress Perfusion Cardiac MRI in Cardiovascular Disease: A Systematic Review and Meta-Analysis of the Effects of the Scanner, Stress Agent, and Analysis Technique.

Qing Fu, Samer Alabed, Stephen P Hoole, George Abraham, Jonathan R Weir-McCall

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Radiology. Cardiothoracic imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. The role of cardiac imaging in the post-ISCHEMIA world.The British journal of radiology · 2025
    Review
  3. 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

5 authors.

Qing FuFrom the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Q.F.); Department of Radiology, Cambridge Biomedical Campus, University of Cambridge, Box 219, Level 5, Cambridge CB2 0QQ, England (Q.F., J.R.W.M.); Departments of Radiology (Q.F., J.R.W.M., S.A.) and Cardiology (S.P.H., G.A.), Royal Papworth Hospital, Cambridge, England; and School of Medicine & Population Health and INSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, England (S.A.).ORCID 0000-0003-0102-0276
Samer AlabedFrom the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Q.F.); Department of Radiology, Cambridge Biomedical Campus, University of Cambridge, Box 219, Level 5, Cambridge CB2 0QQ, England (Q.F., J.R.W.M.); Departments of Radiology (Q.F., J.R.W.M., S.A.) and Cardiology (S.P.H., G.A.), Royal Papworth Hospital, Cambridge, England; and School of Medicine & Population Health and INSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, England (S.A.).
Stephen P HooleFrom the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Q.F.); Department of Radiology, Cambridge Biomedical Campus, University of Cambridge, Box 219, Level 5, Cambridge CB2 0QQ, England (Q.F., J.R.W.M.); Departments of Radiology (Q.F., J.R.W.M., S.A.) and Cardiology (S.P.H., G.A.), Royal Papworth Hospital, Cambridge, England; and School of Medicine & Population Health and INSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, England (S.A.).ORCID 0000-0002-3530-3808
George AbrahamFrom the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Q.F.); Department of Radiology, Cambridge Biomedical Campus, University of Cambridge, Box 219, Level 5, Cambridge CB2 0QQ, England (Q.F., J.R.W.M.); Departments of Radiology (Q.F., J.R.W.M., S.A.) and Cardiology (S.P.H., G.A.), Royal Papworth Hospital, Cambridge, England; and School of Medicine & Population Health and INSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, England (S.A.).ORCID 0000-0003-1442-4835
Jonathan R Weir-McCallFrom the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Q.F.); Department of Radiology, Cambridge Biomedical Campus, University of Cambridge, Box 219, Level 5, Cambridge CB2 0QQ, England (Q.F., J.R.W.M.); Departments of Radiology (Q.F., J.R.W.M., S.A.) and Cardiology (S.P.H., G.A.), Royal Papworth Hospital, Cambridge, England; and School of Medicine & Population Health and INSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, England (S.A.).ORCID 0000-0001-5842-842X

Funding

Wellcome Trust
6 · The paper itself

Abstract

Purpose To perform a systematic review and meta-analysis to assess the prognostic value of stress perfusion cardiac MRI in predicting cardiovascular outcomes. Materials and Methods A systematic literature search from the inception of PubMed, Embase, Web of Science, and China National Knowledge Infrastructure until January 2023 was performed for articles that reported the prognosis of stress perfusion cardiac MRI in predicting cardiovascular outcomes. The quality of included studies was assessed using the Quality in Prognosis Studies tool. Reported hazard ratios (HRs) of univariable regression analyses with 95% CIs were pooled. Comparisons were performed across different analysis techniques (qualitative, semiquantitative, and fully quantitative), magnetic field strengths (1.5 T vs 3 T), and stress agents (dobutamine, adenosine, and dipyridamole). Results Thirty-eight studies with 58 774 patients with a mean follow-up time of 53 months were included. There were 1.9 all-cause deaths and 3.5 major adverse cardiovascular events (MACE) per 100 patient-years. Stress-inducible ischemia was associated with a higher risk of all-cause mortality (HR: 2.55 [95% CI: 1.89, 3.43]) and MACE (HR: 3.90 [95% CI: 2.69, 5.66]). For MACE, pooled HRs of qualitative, semiquantitative, and fully quantitative methods were 4.56 (95% CI: 2.88, 7.22), 3.22 (95% CI: 1.60, 6.48), and 1.78 (95% CI: 1.39, 2.28), respectively. For all-cause mortality, there was no evidence of a difference between qualitative and fully quantitative methods (

Indexed as

Cardiovascular DiseasesExercise TestHumansMagnetic Resonance ImagingMyocardial Perfusion ImagingPrognosisCardiacCardiac MRCardiovascular DiseaseMeta-AnalysisMRIMR-PerfusionPrognosisQuantitativeStress Perfusion

Identifiers

PMID38814186
PMCPMC11211944

What Socratic 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 Socratic graph.