Evidence map›Paper›PMID 27716381›Full record

ArticleBMC research notes2016

Improving outcomes for hospital patients with critical bleeding requiring massive transfusion: the Australian and New Zealand Massive Transfusion Registry study methodology.

J C Oldroyd, K M Venardos, N J Aoki, A J Zatta, Z K McQuilten, L E Phillips, N Andrianopoulos, D J Cooper, P A Cameron, J P Isbister and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
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

11 authors at 2 institutions in 1 country.

J C OldroydTransfusion Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3004, Australia. john.oldroyd@monash.edu.
K M VenardosTransfusion Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3004, Australia.
N J AokiTransfusion Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3004, Australia.
A J ZattaTransfusion Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3004, Australia.
Z K McQuiltenTransfusion Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3004, Australia.
L E PhillipsTransfusion Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3004, Australia.
N AndrianopoulosTransfusion Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3004, Australia.
D J CooperCentre of Research Excellence for Patient Blood Management in Critical Illness and Trauma, Monash University, Clayton, VIC, 3004, Australia.
P A CameronEmergency and Trauma Centre, The Alfred Hospital, Melbourne, VIC, 3004, Australia.
J P IsbisterDepartment of Haematology, University of Sydney, Royal North Shore Hospital, St Leonard, Sydney, NSW, 2065, Australia.
E M WoodTransfusion Research Unit, Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, 3004, Australia.
Monash University · AURoyal North Shore Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Australian and New Zealand (ANZ) Massive Transfusion (MT) Registry (MTR) has been established to improve the quality of care of patients with critical bleeding (CB) requiring MT (≥ 5 units red blood cells (RBC) over 4 h). The MTR is providing data to: (1) improve the evidence base for transfusion practice by systematically collecting data on transfusion practice and clinical outcomes; (2) monitor variations in practice and provide an opportunity for benchmarking, and feedback on practice/blood product use; (3) inform blood supply planning, inventory management and development of future clinical trials; and (4) measure and enhance translation of evidence into policy and patient blood management guidelines. The MTR commenced in 2011. At each participating site, all eligible patients aged ≥18 years with CB from any clinical context receiving MT are included using a waived consent model. Patient information and clinical coding, transfusion history, and laboratory test results are extracted for each patient's hospital admission at the episode level.

resultsThirty-two hospitals have enrolled and 3566 MT patients have been identified across Australia and New Zealand between 2011 and 2015. The majority of CB contexts are surgical, followed by trauma and gastrointestinal haemorrhage. Validation studies have verified that the definition of MT used in the registry correctly identifies 94 % of CB events, and that the median time of transfusion for the majority of fresh products is the 'product event issue time' from the hospital blood bank plus 20 min. Data linkage between the MTR and mortality databases in Australia and New Zealand will allow comparisons of risk-adjusted mortality estimates across different bleeding contexts, and between countries. Data extracts will be examined to determine if there are differences in patient outcomes according to transfusion practice. The ratios of blood components (e.g. FFP:RBC) used in different types of critical bleeding will also be investigated.

conclusionsThe MTR is generating data with the potential to have an impact on management and policy decision-making in CB and MT and provide benchmarking and monitoring tools for immediate application.

Indexed as

Blood TransfusionRegistriesTreatment OutcomeAustraliaBlood BanksDelivery of Health CareHemorrhageHumansNew ZealandCritical bleedingMassive transfusionRegistry

Identifiers

PMID27716381
PMCPMC5052932
OpenAlexW2529586001

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.