Evidence map›Paper›PMID 29067705›Full record

ArticleTransfusion2017

Demographic and epidemiologic characterization of transfusion recipients from four US regions: evidence from the REDS-III recipient database.

Matthew S Karafin, Roberta Bruhn, Matt Westlake, Marian T Sullivan, Walter Bialkowski, Gustaf Edgren, Nareg H Roubinian, Ronald G Hauser, Daryl J Kor, Debra Fleischmann and 4 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Transfusion, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 97 citations in OpenAlex.

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  16. Adverse events of red blood cell transfusions in patients with sickle cell disease.Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 2 countries.

Matthew S KarafinBloodCenter of Wisconsin (BCW), Milwaukee, Wisconsin.ORCID 0000-0001-7533-6842
Roberta BruhnBlood Systems Research Institute, University of California San Francisco, San Francisco, California.ORCID 0000-0002-5898-8168
Matt WestlakeRTI International, Rockville, Maryland.
Marian T SullivanRTI International, Rockville, Maryland.
Walter BialkowskiBloodCenter of Wisconsin (BCW), Milwaukee, Wisconsin.
Gustaf EdgrenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Nareg H RoubinianBlood Systems Research Institute, University of California San Francisco, San Francisco, California.
Ronald G HauserDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut.
Daryl J KorDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota.
Debra FleischmannRTI International, Rockville, Maryland.
Jerome L GottschallBloodCenter of Wisconsin (BCW), Milwaukee, Wisconsin.
Edward L MurphyBlood Systems Research Institute, University of California San Francisco, San Francisco, California.
Darrell J TriulziThe Institute for Transfusion Medicine (ITXM) and University of Pittsburgh, Pittsburgh, Pennsylvania.
National Heart, Lung, and Blood Institute Recipient Epidemiology and Donor Evaluation Study-III (REDS-III)
RTI International · USUniversity of California, San Francisco · USVersiti Blood Center of Wisconsin · USKarolinska University Hospital · SEMayo Clinic · USUniversity of Pittsburgh · USYale University · US

Funding

NHLBI NIH HHS HHSN268201100001I
6 · The paper itself

Abstract

backgroundBlood transfusion is one of the most common medical procedures during hospitalization in the United States. To understand the benefits of transfusion while mitigating potential risks, a multicenter database containing detailed information on transfusion incidence and recipient outcomes would facilitate research. STUDY DESIGN AND

methodsThe Recipient Epidemiology and Donor Evaluation Study-III (REDS-III) program has developed a comprehensive transfusion recipient database utilizing data from hospital electronic health records at 12 participating hospitals in four geographic regions. Inpatient and outpatient data on transfusion recipients from January 1, 2013 to December 31, 2014 included patient age, sex, ethnicity, primary diagnosis, type of blood product provided, issue location, pretransfusion and post-transfusion hemoglobin (Hgb), and hospital outcomes. Transfusion incidence per encounter was calculated by blood product and various patient characteristics.

resultsDuring the 2-year study period, 80,362 (12.5%) inpatient encounters involved transfusion. Among inpatients, the most commonly transfused blood products were red blood cells (RBCs; 10.9% of encounters), followed by platelets (3.2%) and plasma (2.9%). Among patients who received transfusions, the median number of RBC units was one, the pretransfusion Hgb level was 7.6 g/dL, and the Hgb increment per unit was 1.4 g/dL. Encounter mortality increased with patient age, the number of units transfused, and the use of platelet or plasma products. The most commonly reported transfusion reaction was febrile nonhemolytic.

conclusionThe database contains comprehensive data regarding transfusion use and patient outcomes. The current report describes an evaluation of the first 2 years of a planned, 4-year, linked blood donor-component-recipient database, which represents a critical new resource for transfusion medicine researchers.

Indexed as

Blood DonorsDatabases as TopicBlood TransfusionDemographyFeverHumansTransfusion ReactionUnited States

Identifiers

PMID29067705
PMCPMC5758361
OpenAlexW2765804319

What OpenQuestion holds

Textmetadata
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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.