Evidence map›Paper›PMID 39844983›Full record

ArticleHeliyon2025

Research on blood donation and supply of red blood cell products to medical institutions under the spread of COVID-19 disease in Japan.

Tomohide Mishiba, Shinji Takeoka

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

2 authors.

Tomohide MishibaCooperative Major in Advanced Biomedical Sciences of Tokyo Women's Medical University and Waseda University, 2-2, TWIns, Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan.
Shinji TakeokaCooperative Major in Advanced Biomedical Sciences of Tokyo Women's Medical University and Waseda University, 2-2, TWIns, Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the spread of SARS-CoV-2 virus infectious disease (COVID-19), blood donation events had to be cancelled, and there were concerns about a decrease in the number of blood donors from late February 2020 in Japan. The purpose of this study is to investigate the numbers of whole blood donation, manufacture and inventory adjustment of red blood cell (RBC) products at the Japanese Red Cross Society (JRCS), and to evaluate the effects of COVID-19 on the donation of blood and the supply of RBC products to medical institutions for transfusion medicine in Japan. We focused on RBC products, which are the most frequently used blood products and are easily reflected under the spread of COVID-19. The status of whole blood donation and RBC product transfusion was investigated based on the data provided by the JRCS from January 2020 to August 2021 on whole blood donation, manufacture and inventory adjustment of RBC products, and supply to medical institutions. Although there were some fluctuations since January 2020, the amount of estimated donated whole blood, manufactured RBC products, inventory, and supply to medical institutions remained almost stable. The reasons are thought to be the contribution of registered repeaters cooperating in blood donation, the accurate prediction of supply and demand by the JRCS, the call for blood donations in accordance with the prediction, and the timely exchange of products between block centers, and the utilization of a safe supply system established previously by the JRCS. As a result, it can be concluded that the stable provision of medical care was possible without depleting the inventory of RBC products even under the spread of COVID-19.

Identifiers

PMID39844983
PMCPMC11751412

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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.