Evidence map›Paper›PMID 40837889›Full record

ArticleCureus2025

Blood Utilization Review Using Transfusion Indices in a Tertiary Care Center: A Retrospective Observational Study.

Saurabh Lahare, Rakesh Kumar, Bankim Das, Neha Singh

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Saurabh LahareTransfusion Medicine and Blood Bank, All India Institute of Medical Sciences, Patna, Patna, IND.
Rakesh KumarTransfusion Medicine and Blood Bank, All India Institute of Medical Sciences, Patna, Patna, IND.
Bankim DasTransfusion Medicine and Blood Bank, All India Institute of Medical Sciences, Patna, Patna, IND.
Neha SinghTransfusion Medicine and Blood Bank, All India Institute of Medical Sciences, Patna, Patna, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Excessive preoperative blood requisition often results in non-utilization, aging, and wastage of blood units and resources. Transfusion indices help assess the efficiency of the blood requisition process. Hence, this study aimed to analyze blood utilization patterns using transfusion indices across various departments in a tertiary care center. Methodology This study employed a retrospective, observational design, utilizing blood bank records collected over a one-year period from April 1, 2023, to March 31, 2024. A total of 5,881 patients were analyzed. The primary aim was to evaluate blood utilization efficiency by calculating key transfusion indices based on the crossmatching and transfusion of packed red blood cells (PRBCs). These indices included the crossmatch-to-transfusion (C/T) ratio, transfusion probability (TP), and transfusion index (TI). Results Out of 6,694 blood requisitions received during the study period, 5,881 patients underwent PRBC transfusions. A total of 11,894 PRBC units were crossmatched, of which 7,759 (65.23%) units were ultimately transfused. Transfusion indices demonstrated notable variations across different departments. The General Surgery Department recorded the highest C/T ratio at 2.05, while Hemato-oncology and Radiotherapy achieved the highest TP of 96%. In contrast, Dermatology reported the lowest TP at 74%. Gastro-surgery stood out with the highest TI of 2.47. Despite these differences, all departments operated within the established acceptable transfusion thresholds, maintaining C/T ratios below 2.5, TP values above 30%, and TI levels exceeding 0.5. Conclusions Departments with outlier indices should adopt restrictive transfusion practices. Educational programs and department-specific guidelines can optimize blood utilization, reducing unnecessary transfusions, costs, and resource consumption.

Indexed as

blood utilization reviewct ratiodepartment-wise blood utilizationmsbostransfusion indextransfusion indicestransfusion probability

Identifiers

PMID40837889
PMCPMC12362044

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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.