Evidence map›Paper›PMID 39744285›Full record

ArticleCureus2024

Retrospective Audit of Transfusion Reactions in a Tertiary-Care Hospital in South India.

Sabari Priya, Karthikeyan V, Sowmya Srinivasan

Abstract read
In one paragraph

Article in Cureus, 2024. 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

3 authors.

Sabari PriyaTransfusion Medicine, Mahatma Gandhi Medical College and Research Institute, Pondicherry, IND.
Karthikeyan VPathology, Mahatma Gandhi Medical College and Research Institute, Pondicherry, IND.
Sowmya SrinivasanPathology, Mahatma Gandhi Medical College and Research Institute, Pondicherry, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood transfusion is a double-edged sword, as it is a life-saving intervention but is also associated with various adverse reactions. However, blood transfusion safety can be improved by identifying these adverse reactions and taking appropriate interventions. Therefore, in this study, we aimed to determine the frequency and type of transfusion reactions occurring among in-patients at our hospital, as reported to our institute's blood center. MATERIALS AND

methodsThis cross-sectional study was carried out at the blood center of a tertiary-care hospital over three years and nine months from 2021 to 2024. During the study period, all transfusion reactions related to various blood and blood products reported to our blood center were recorded and analyzed according to departmental standard operating procedures.

resultsOut of 23,028 units of blood and blood products transfused during the study period, 105 (0.5%) cases of transfusion reaction were documented. The most common transfusion reaction reported was febrile non-hemolytic transfusion reaction (n=62; 59%), followed by allergic transfusion reaction (n=33; 31%), and 10 (10%) reported reactions were due to various other reasons.

conclusionThe relatively low incidence of transfusion reactions in this study (0.5%) may be due to our study's underreporting of transfusion reactions. This difference highlights the need to conduct continuous medical, educational programs for all healthcare professionals involved in the transfusion chain. Such programs should highlight the importance of documentation and reporting of adverse transfusion reactions so that hemovigilance systems can be established for improved patient care.

Indexed as

blood component therapyhaemovigilancehemovigilancemonitoringpatient carepatient safetyreportingtransfusion reactions

Identifiers

PMID39744285
PMCPMC11688173

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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.