Evidence map›Paper›PMID 39421092›Full record

ArticleCureus2024

Impact of Type and Screen Method on Turnaround Time and Man-Hour Utilization Compared to Conventional Coomb's Crossmatch: A Cross-Sectional Analytical Study.

Arthi R, Soundharya V, Suresh Kumar I, Hari Haran A, Sahayaraj James

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Article in Cureus, 2024. 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

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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Arthi RTransfusion Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.
Soundharya VTransfusion Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.
Suresh Kumar ITransfusion Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.
Hari Haran ATransfusion Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.
Sahayaraj JamesTransfusion Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Blood component transfusion is vital for various medical conditions, requiring thorough pretransfusion testing to ensure safety and compatibility. The Type and Screen (T and S) method allows for efficient detection of clinically significant antibodies while reducing unnecessary crossmatching. This study evaluates T and S's impact on turnaround time and man-hour utilization compared to conventional crossmatching. Methodology The study included 835 elective crossmatch requests. Blood grouping, antibody screening, and antihuman globulin (AHG) crossmatching were performed using column agglutination technology, while immediate saline crossmatching was done by tube technique. Turnaround time (TAT), man-hour utilization, and saved rates were calculated for both the T and S protocol and routine AHG crossmatch. Results In this study, 835 elective blood samples underwent antibody screening and immediate saline phase crossmatching, with validation by AHG phase crossmatch. The T and S protocol significantly reduced TAT for both first (51.24 vs. 71.56 minutes) and subsequent transfusions (17.47 vs. 39.67 minutes) compared to AHG crossmatching, with reductions being statistically significant (p < 0.0001). T and S also saved 279.28 man-hours (11.6 man-days), equating to 0.33 man-hours saved per sample. Conclusion Our study shows that the T and S protocol significantly enhances blood bank efficiency by reducing TAT and man-hour utilization compared to conventional AHG crossmatching. This improvement not only optimizes manpower but also makes the process more cost-effective.

Indexed as

ahg crossmatchblood bankman-hour utilisationturnaround timetype and screen

Identifiers

PMID39421092
PMCPMC11484656

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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.