Evidence map›Paper›PMID 30907418›Full record

SynthesisEuropean journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery2019

Improving coronary artery bypass grafting: a systematic review and meta-analysis on the impact of adopting transit-time flow measurement.

Daniel J F M Thuijs, Margreet W A Bekker, David P Taggart, A Pieter Kappetein, Teresa M Kieser, Daniel Wendt, Gabriele Di Giammarco, Gregory D Trachiotis, John D Puskas, Stuart J Head

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Ten Commandments of Off-Pump Coronary Artery Bypass Surgery.Annals of thoracic surgery short reports · 2026
    Article
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  6. Article
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  9. How to harvest the left internal mammary artery-a randomized controlled trial.Interdisciplinary cardiovascular and thoracic surgery · 2024
    Article
  10. Transient time flow measurement in arterial grafts.Journal of cardiothoracic surgery · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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.

Daniel J F M ThuijsDepartment of Cardiothoracic Surgery, Erasmus MC, University Medical Centre, Rotterdam, Netherlands.
Margreet W A BekkerDepartment of Cardiothoracic Surgery, Erasmus MC, University Medical Centre, Rotterdam, Netherlands.
David P TaggartDepartment of Cardiovascular Surgery, University of Oxford, John Radcliffe Hospital, Oxford, UK.
A Pieter KappeteinDepartment of Cardiothoracic Surgery, Erasmus MC, University Medical Centre, Rotterdam, Netherlands.
Teresa M KieserDivision of Cardiac Surgery, Department of Cardiac Sciences, Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Canada.
Daniel WendtDepartment of Thoracic and Cardiovascular Surgery, West German Heart and Vascular Centre, University of Duisburg-Essen, Duisburg, Germany.
Gabriele Di GiammarcoDepartment of Cardiac Surgery, Università degli Studi "G. D'Annunzio" Chieti-Pescara, Chieti, Italy.
Gregory D TrachiotisDepartment of Cardiothoracic Surgery, Veterans Affairs Medical Centre, Washington, DC, USA.
John D PuskasDepartment of Cardiovascular Surgery, Mount Sinai Saint Luke's, New York, NY, USA.
Stuart J HeadDepartment of Cardiothoracic Surgery, Erasmus MC, University Medical Centre, Rotterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite there being numerous studies of intraoperative graft flow assessment by transit-time flow measurement (TTFM) on outcomes after coronary artery bypass grafting (CABG), the adoption of contemporary TTFM is low. Therefore, on 31 January 2018, a systematic literature search was performed to identify articles that reported (i) the amount of grafts classified as abnormal or which were revised or (ii) an association between TTFM and outcomes during follow-up. Random-effects models were used to create pooled estimates with 95% confidence intervals (CI) of (i) the rate of graft revision per patient, (ii) the rate of graft revision per graft and (iii) the rate of graft revision among grafts deemed abnormal based on TTFM parameters. The search yielded 242 articles, and 66 original articles were included in the systematic review. Of those articles, 35 studies reported on abnormal grafts or graft revisions (8943 patients, 15 673 grafts) and were included in the meta-analysis. In 4.3% of patients (95% CI 3.3-5.7%, I2 = 73.9) a revision was required and 2.0% of grafts (95% CI 1.5-2.5%; I2 = 66.0) were revised. The pooled rate of graft revisions among abnormal grafts was 25.1% (95% CI 15.5-37.9%; I2 = 80.2). Studies reported sensitivity ranging from 0.250 to 0.457 and the specificity from 0.939 to 0.984. Reported negative predictive values ranged from 0.719 to 0.980 and reported positive predictive values ranged from 0.100 to 0.840. This systematic review and meta-analysis showed that TTFM could improve CABG procedures. However, due to heterogeneous data, drawing uniform conclusions appeared challenging. Future studies should focus on determining the optimal use of TTFM and assessing its diagnostic accuracy.

Indexed as

Coronary CirculationCoronary Artery BypassHumansTime FactorsTreatment OutcomeCoronary artery bypassCoronary artery bypass graftingIntraoperative graft flow assessmentIntraoperative quality controlTransit timeTransit-time flow measurement

Identifiers

PMID30907418
PMCPMC6751409

What OpenQuestion holds

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Registered trials

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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.