Evidence map›Paper›PMID 31838025›Full record

ArticleHematology, transfusion and cell therapy

Determining the true incidence of acute transfusion reactions: Active surveillance at a specialized liver center.

Ansuman Sahu, Meenu Bajpai

Open access · diamondAbstract read
In one paragraph

Article in Hematology, transfusion and cell therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ansuman SahuInstitute of Liver and Biliary Sciences, New Delhi, India.
Meenu BajpaiInstitute of Liver and Biliary Sciences, New Delhi, India. Electronic address: meenubajpaii@gmail.com.
Institute of Liver and Biliary Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood transfusion is a life-saving procedure, but may cause adverse transfusion reactions (TRs). The reporting of TRs is often missed due to various reasons. The aim of this study was to determine the incidence of unreported acute TRs through active surveillance and to compare it with the incidence of passively reported TRs.

methodsThis prospective observational study was done over a period of four months at a tertiary care hospital. A total of 500 consecutive transfusion episodes (TEs) in patients who had received blood component transfusions in the intensive care units were included in the study. Comprehensive data were collected from the blood bank records, patient records and through interviews with the attending clinical staff. The TEs were defined as all blood components issued to a single patient in 24h.

resultsThe overall incidence of TRs was 1.8 % (9 cases), with 0.4 % (2 cases) being reported passively, while 1.4 % (7 cases) were identified during active surveillance. The transfusion-associated cardiac overload (TACO) had the highest incidence of 1.2 % (6 cases) in active surveillance. A single case of acute hemolytic transfusion reaction was also observed during active surveillance. The passively reported TRs were one allergic reaction and one febrile non-hemolytic transfusion reaction.

conclusionActive surveillance of TRs provided an insight into the true incidence of TRs, which is higher when compared with the passively reported TRs. The TACO was found to have the highest incidence and not a single case was reported. There is a need to improve awareness regarding TR reporting.

Indexed as

Blood transfusionHemovigilanceTACOTransfusion reaction

Identifiers

PMID31838025
PMCPMC7599260
OpenAlexW2991314226

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.