Evidence map›Paper›PMID 27460200›Full record

ArticleTransfusion2016

Incidence of transfusion reactions: a multicenter study utilizing systematic active surveillance and expert adjudication.

Jeanne E Hendrickson, Nareg H Roubinian, Dhuly Chowdhury, Don Brambilla, Edward L Murphy, Yanyun Wu, Paul M Ness, Eric A Gehrie, Edward L Snyder, R George Hauser and 5 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Transfusion, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 4 pooled it
6.3field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 4 syntheses or guidelines pooled it, 145 citations in OpenAlex.

  1. Pooled it
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  10. Perioperative Blood Management.Journal of clinical medicine · 2025
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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

15 authors at 7 institutions in 2 countries.

Jeanne E HendricksonDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT. jeanne.hendrickson@yale.edu.
Nareg H RoubinianDepartment of Laboratory Medicine, University of California, San Francisco, CA.
Dhuly ChowdhuryRTI International, Rockville, Maryland.
Don BrambillaRTI International, Rockville, Maryland.
Edward L MurphyDepartment of Laboratory Medicine, University of California, San Francisco, CA.
Yanyun WuDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT.
Paul M NessDivision of Transfusion Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Eric A GehrieDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT.
Edward L SnyderDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT.
R George HauserDepartment of Laboratory Medicine, Yale University School of Medicine, New Haven, CT.
Jerome L GottschallBlood Center of Wisconsin, Milwaukee, WI.
Steve KleinmanCenter for Blood Research, University of British Columbia, Vancouver, British Columbia, Canada.
Ram KakaiyaRetired, Clarksburg, Maryland.
Ronald G StraussThe Institute for Transfusion Medicine, Pittsburgh, Pennsylvania.
National Heart, Lung, and Blood Institute (NHLBI) Recipient Epidemiology and Donor Evaluation Study (REDS-III)
Yale University · USBlood Systems Research Institute · USRTI International · USInstitute for Transfusion Medicine · USJohns Hopkins Medicine · USMedical College of Wisconsin · USUniversity of British Columbia · CA

Funding

NHLBI NIH HHS HHSN268201000005CNHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS L30 HL129355WHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

backgroundPrevalence estimates of the serious hazards of transfusion vary widely. We hypothesized that the current reporting infrastructure in the United States fails to capture many transfusion reactions and undertook a multicenter study using active surveillance, data review, and adjudication to test this hypothesis. STUDY DESIGN AND

methodsA retrospective record review was completed for a random sample of 17% of all inpatient transfusion episodes over 6 months at four academic tertiary care hospitals, with an episode defined as all blood products released to a patient in 6 hours. Data were recorded by trained clinical research nurses, and serious reactions were adjudicated by a panel of transfusion medicine experts.

resultsOf 4857 transfusion episodes investigated, 1.1% were associated with a serious reaction. Transfusion-associated circulatory overload was the most frequent serious reaction noted, being identified in 1% of transfusion episodes. Despite clinical notes describing a potential transfusion association in 59% of these cases, only 5.1% were reported to the transfusion service. Suspected transfusion-related acute lung injury/possible transfusion-related acute lung injury, anaphylactic, and hypotensive reactions were noted in 0.08, 0.02, and 0.02% of transfusion episodes, respectively. Minor reactions, including febrile nonhemolytic and allergic, were noted in 0.62 and 0.29% of transfusion episodes, respectively, with 30 and 50% reported to the transfusion service.

conclusionUnderreporting of cardiopulmonary transfusion reactions is striking among academic, tertiary care hospitals. Complete and accurate reporting is essential to identify, define, establish pathogenesis, and mitigate/treat transfusion reactions. A better understanding of the failure to report may improve the accuracy of passive reporting systems.

Indexed as

Blood SafetyHumansIncidenceRetrospective StudiesRisk ManagementTertiary Care CentersTransfusion MedicineTransfusion Reaction

Identifiers

PMID27460200
PMCPMC5559198
OpenAlexW2488660632

What OpenQuestion holds

Textmetadata
LicenceTDM
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.