Evidence map›Paper›PMID 33321489›Full record

SynthesisCardiorenal medicine2021

Coronary Computed Tomography Angiography in Diagnosing Obstructive Coronary Artery Disease in Patients with Advanced Chronic Kidney Disease: A Systematic Review and Meta-Analysis.

Xingxing S Cheng, Suman Mohanty, Valery Turner, Domenico Mastrodicasa, Simon Winther, Dominik Fleischmann, Jane C Tan, William F Fearon

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cardiorenal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

8 authors.

Xingxing S ChengDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA, xscheng@stanford.edu.
Suman MohantyDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA.
Valery TurnerDepartment of Radiology, Stanford University School of Medicine, Palo Alto, California, USA.
Domenico MastrodicasaDepartment of Radiology, Stanford University School of Medicine, Palo Alto, California, USA.
Simon WintherDepartment of Cardiology, Regional Hospital Unit West, Herning, Denmark.
Dominik FleischmannDepartment of Radiology, Stanford University School of Medicine, Palo Alto, California, USA.
Jane C TanDivision of Nephrology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA.
William F FearonDivision of Cardiology, Department of Medicine, Stanford University School of Medicine, Palo Alto, California, USA.

Funding

Multi-Disciplinary Training Program in Cardiovascular Imaging at StanfordT32EB009035 · NIBIB · STANFORD UNIVERSITY · PI Koen Nieman, John M. Pauly · 2008 to 2026
$4.3M
Refining repeat screening for coronary artery disease in kidney transplant candidatesK23DK123410 · NIDDK · STANFORD UNIVERSITY · PI CHENG, XINGXING SHELLEY · 2020 to 2024
$826k
NIBIB NIH HHS T32 EB009035NIDDK NIH HHS K23 DK123410
6 · The paper itself

Abstract

introductionCoronary computed tomography angiography (CCTA) is emerging as an important noninvasive testing modality for coronary angiography. The performance characteristic of CCTA in patients with advanced kidney disease is unknown.

methodsWe performed a systematic review and meta-analysis of studies specifically investigating the sensitivity and specificity of CCTA compared to coronary angiogram as a reference standard in patients with advanced kidney disease, defined as dialysis dependence or nearing kidney transplantation. Two independent investigators assessed studies for inclusion/exclusion, quality, and characteristics, while a third investigator adjudicated.

resultsWe identified 4 studies including a total of 217 patients, of whom 159 were dialysis dependent. Three of the 4 studies had a high risk of bias in patient selection and study flow, while 1 study rated low in all areas of bias. The studies were heterogeneous in their patient selection and CCTA protocol but consistent in their definition of obstructive coronary artery disease. The pooled sensitivity and specificity for CCTA were 0.96 (0.87-0.99) and 0.66 (0.57-0.74), respectively. When we restricted the analysis to dialysis-dependent patients, the pooled sensitivity and specificity for CCTA were 0.99 (0.74-1.00) and 0.67 (0.49-0.82), respectively.

conclusionsBased on limited data, CCTA appears to have comparable sensitivity but lower specificity relative to the non-kidney disease population.

Indexed as

Coronary Artery DiseaseRenal Insufficiency, ChronicComputed Tomography AngiographyCoronary AngiographyHumansRenal DialysisChronic kidney diseaseCoronary artery diseaseCoronary computed tomography angiographyDiagnostic performanceIschemic heart diseaseMeta-analysisSystematic review

Identifiers

PMID33321489
PMCPMC8009287

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.