Evidence map›Paper›PMID 20092090›Full record

ArticleThe journal of extra-corporeal technology2009

Getting it right: optimizing transfusion management during the procedure.

Darryl McMillan, Kieran Potger, Joanne Southwell, Mark Ambrose, Terry Connolly, Margaret Louis

Abstract read
In one paragraph

Article in The journal of extra-corporeal technology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 75% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Darryl McMillanCardiopulmonary Perfusion and Autotransfusion Unit, Department of Anaesthesia and Pain Management, Royal North Shore Hospital, Sydney, Australia.
Kieran Potger
Joanne Southwell
Mark Ambrose
Terry Connolly
Margaret Louis
Royal North Shore Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is little doubt that blood transfusions have saved many lives in cases of acute hypovolemia and anemia, but both the literature and practitioners still do not agree as to what the appropriate indicators for transfusion are in a cardiac surgical patient. Furthermore, there are those who claim that the benefit of blood transfusions has never been conclusively demonstrated, and evidence of transfusion related harm continues to accumulate. Cardiac surgical patients may be transfused not only because of bleeding but also due to hemodilution from preoperative and intraoperative intravenous fluids and pump primes in conjunction with a possible preoperative anemia. Getting transfusion right to improve our practice has to be approached multifactorially. The use of prophylactic dosing of blood products has been suggested to be ineffective in reducing blood loss. There are many factors that impact transfusion rates including determining the optimal hematocrit where it is highly unlikely that one figure will be applicable to all patients. The formulation of transfusion guidelines and algorithms that have been agreed upon by all practitioners involved in the care of cardiac surgical patients may have a positive effect-if everyone agrees to transfuse patients via the formulated guidelines or algorithms. Importantly, no one individual should be able make the decision on whether a patient requires a blood transfusion-it must at all times be a team decision, whether in the operating room or intensive care unit.

Indexed as

AustraliaBlood TransfusionDecision Support Systems, ClinicalDelivery of Health CareHumansQuality Assurance, Health Care

Identifiers

PMID20092090
PMCPMC4813542
OpenAlexW2409218143

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.