Evidence map›Paper›PMID 35244534›Full record

SynthesisBlood transfusion = Trasfusione del sangue2022

Would a National Antibody Register contribute to improving patient outcomes?

Zachary Powell, Nan Jiang, Rajeshwori Shrestha, Denise E Jackson

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Blood transfusion = Trasfusione del sangue, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Zachary PowellLaboratory Medicine, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.
Nan JiangLaboratory Medicine, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.
Rajeshwori ShresthaLaboratory Medicine, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.
Denise E JacksonLaboratory Medicine, School of Health and Biomedical Sciences, RMIT University, Bundoora, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite stringent testing protocols, there always remains a chance of a delayed haemolytic transfusion reaction (DHTR) occurring as a result of an undetected or unknown antibody. In this systemic review and meta-analysis, we aimed to investigate improvements to patient outcomes that could be achieved through the implementation of a national antibody registry. A series of searches through PubMed and SCOPUS identified a collection of articles with relevant information, restricted to full text, English language articles available through the RMIT Library service. 25 articles were considered for the review, four of these found to have relevant, extractable data for use in the meta-analysis. Alloantibody evanescence rates were analysed for the potential for reducing DHTRs associated with transfusion services, returning significant results indicating antibody evanescence rates of up to 68.4% in one study, with p-values less than 0.001. Due to the small number of included studies however, the interference values were quite high for these analyses at greater than 90% for each. Additional, beneficial side-effects of such a system were also considered, along with reductions in DHTRs. In conclusion it was determined that a National antibody registry would contribute to improving patient outcomes, however further studies could be performed to determine a stronger correlation, and exact levels of improvement that could be achieved.

Indexed as

IsoantibodiesHumansIsoantibodies

Identifiers

PMID35244534
PMCPMC8971016

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.