Evidence map›Paper›PMID 33309539›Full record

ArticleTransfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis2021

Blood transfusion trends by disease category in the United States, 2000 to 2014.

Nicholas Roberts, Spencer L James, Meghan Delaney, Christina Fitzmaurice

Abstract readHistorical Article
In one paragraph

Article in Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis, 2021. 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
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. 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.

Nicholas RobertsDepartment of Health Metric Sciences, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States. Electronic address: nrober75@uw.edu.
Spencer L JamesDepartment of Health Metric Sciences, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States.
Meghan DelaneyDivision of Pathology & Laboratory Medicine, Children's National Medical Center, Washington, DC, United States; Departments of Pathology & Pediatrics, George Washington University Medical School, Washington DC, United States.
Christina FitzmauriceDepartment of Health Metric Sciences, Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States; Department of Medicine, Division of Hematology, University of Washington, Seattle, WA, United States.

Funding

Career Development in Clinical Hematology ResearchK12HL087165 · NHLBI · UNIVERSITY OF WASHINGTON · PI ABKOWITZ, JANIS L · 2006 to 2016
$4.0M
NHLBI NIH HHS K12 HL087165
6 · The paper itself

Abstract

backgroundBetter understanding of blood usage rates could identify trends in transfusion practices over time and inform more efficient management.

methodsInpatient admissions from the Healthcare Cost and Utilization Project National Inpatient Sample and State Inpatient Databases were analyzed for packed red blood cell (PRBC), plasma, platelet, and whole blood (WB) transfusions. The transfusion rates per admission and per prevalent case were calculated. Prevalence estimates were from the Global Burden of Disease 2017 study (GBD).

resultsFrom 2000 to 2014, blood usage rates for most causes peaked around 2010. Across all causes, PRBC were the most commonly transfused component, followed by plasma, platelets, and WB. However, the relative use of each type varied by cause. Nutritional deficiencies (1.75 blood product units across all components per admission; 95 % uncertainty interval (UI) 1.62-1.87), neoplasms (0.95; 0.87-1.04), and injuries (0.92; 0.86 - 0.98) had the greatest blood use per admission. Cardiovascular diseases (96.9 units per 1000 prevalent cases; 89.3-105.0) and neoplasms (92.7 units per 1000 prevalent cases; 84.3-101.5) had the greatest blood use per prevalent case. Across all admissions, over three million blood units were saved in 2014 compared to 2011 due to transfusing at a reduced rate.

conclusionsBlood transfusion rates decreased from 2011 to 2014 in the United States. This decline occurred in most disease categories, which points towards broad strategies like patient blood management systems and disease specific improvements like changes in surgical techniques being effective.

Indexed as

Blood TransfusionFemaleHistory, 21st CenturyHumansMaleUnited StatesAnemiaBlood managementNeoplasmsPlasmaPlatelets

Identifiers

PMID33309539
PMCPMC7987725

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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.