Evidence map›Paper›PMID 22730861›Full record

ArticleThe journal of extra-corporeal technology2012

Developing a benchmarking process in perfusion: a report of the Perfusion Downunder Collaboration.

Robert A Baker, Richard F Newland, Carmel Fenton, Michael McDonald, Timothy W Willcox, Alan F Merry, Perfusion Downunder Collaboration

Open access · greenAbstract read
In one paragraph

Article in The journal of extra-corporeal technology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. The PediPERForm Learning Network congenital perfusion registry.The journal of extra-corporeal technology · 2025
    Article
  2. Article
  3. Article
  4. Integration of Electronic Perfusion Data for Perfusion Registries.The journal of extra-corporeal technology · 2018
    Article
  5. Perfusion Electronic Record Documentation Using Epic Systems Software.The journal of extra-corporeal technology · 2015
    Article
  6. Article
  7. Article
  8. 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 at 4 institutions in 2 countries.

Robert A BakerCardiac and Thoracic Surgical Unit, Department of Medicine, Flinders Medical Centre and Flinders University of South Australia, Adelaide, South Australia, Australia. Rob.Baker@flinders.edu.au
Richard F Newland
Carmel Fenton
Michael McDonald
Timothy W Willcox
Alan F Merry
Perfusion Downunder Collaboration
Cabrini Hospital · AURoyal Hobart Hospital · AUUniversity of Auckland · NZUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving and understanding clinical practice is an appropriate goal for the perfusion community. The Perfusion Downunder Collaboration has established a multi-center perfusion focused database aimed at achieving these goals through the development of quantitative quality indicators for clinical improvement through benchmarking. Data were collected using the Perfusion Downunder Collaboration database from procedures performed in eight Australian and New Zealand cardiac centers between March 2007 and February 2011. At the Perfusion Downunder Meeting in 2010, it was agreed by consensus, to report quality indicators (QI) for glucose level, arterial outlet temperature, and pCOz management during cardiopulmonary bypass. The values chosen for each QI were: blood glucose > or =4 mmol/L and < or =10 mmol/L; arterial outlet temperature < or = 37 degrees C; and arterial blood gas pCO2 > or =35 and < or =45 mmHg. The QI data were used to derive benchmarks using the Achievable Benchmark of Care (ABC) methodology to identify the incidence of QIs at the best performing centers. Five thousand four hundred and sixty-five procedures were evaluated to derive QI and benchmark data. The incidence of the blood glucose QI ranged from 37-96% of procedures, with a benchmark value of 90%. The arterial outlet temperature QI occurred in 16-98% of procedures with the benchmark of 94%; while the arterial pCO2 QI occurred in 21-91%, with the benchmark value of 80%. We have derived QIs and benchmark calculations for the management of several key aspects of cardiopulmonary bypass to provide a platform for improving the quality of perfusion practice.

Indexed as

Practice Guidelines as TopicAustraliaBenchmarkingCardiovascular Surgical ProceduresExtracorporeal CirculationNew ZealandQuality Assurance, Health Care

Identifiers

PMID22730861
PMCPMC4557436
OpenAlexW2187105128

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.