Evidence map›Paper›PMID 42857387›Full record

ArticleInterface focus2026

Blood donation landscape in Bulgaria: data analytics insights from 2024.

Ivo Umlenski, Vassia Atanassova, Peter Vassilev, Tania Pencheva, Nikolay Nikolov, Nikolay Andreev, Simeon Ribagin, Vasilina Vasileva, Nora Angelova, Angel Dimitriev and 2 more

Abstract read
In one paragraph

Article in Interface focus, 2026. 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

12 authors.

Ivo UmlenskiInstitute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0000-0002-6441-0506
Vassia AtanassovaInstitute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0000-0002-3626-9461
Peter VassilevInstitute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0000-0002-7361-9272
Tania PenchevaInstitute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0000-0002-1439-8895
Nikolay NikolovDepartment of Transfusion Haematology - Pernik, Pernik, Bulgaria.
Nikolay AndreevSMDL ImmunoChem, Sofia, Bulgaria.ORCID https://orcid.org/0000-0003-2697-9766
Simeon RibaginInstitute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0000-0002-0251-3251
Vasilina VasilevaRegional Centre of Transfusion Haematology - Pleven, Pleven, Bulgaria.
Nora AngelovaFaculty of Mathematics and Informatics, Sofia University Saint Kliment Ohridski, Sofia, Bulgaria.
Angel DimitrievInstitute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0009-0001-1412-7606
Krassimir AtanassovInstitute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0000-0001-5625-071X
Diana PetkovaInstitute of Biophysics and Biomedical Engineering Bulgarian Academy of Sciences, Sofia, Bulgaria.ORCID https://orcid.org/0009-0007-1660-3745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper presents data and analysis of the blood group distributions of the Bulgarian population for the year 2024, retrieved from the national information system serving the centres and departments of transfusion haematology. Several significant indicators are considered in both national and regional aspects and in both absolute numbers and percentages. The study is particularly focused on tracing the ABO system blood type frequencies, Rh(D) antigen (rhesus factor) frequencies and certain demographic indicators of blood donation activity, including blood donor's sex, age, location and type of donation (voluntary or family/replacement). The atomic approach towards data analysis, adopted as early as the research planning phase, has given vast opportunities for data stratification in various ways and for discovering patterns, regional specifics and even data anomalies. The presented data and conclusions can serve in planning the operation and resources of the centres and departments of transfusion haematology on national and regional levels, for information backup of the blood donation campaigns and for raising the society's awareness and sensibility towards the needs and benefits of voluntary blood donation as the safest and most sustainable source of blood supply. This article is part of the theme issue 'Data driven modelling for living systems'.

Indexed as

ABO systemblood donationblood group distributionsdonor recruitment strategiestransfusion haematologyvoluntary blood donation

Identifiers

PMID42857387
PMCPMC13650460

What OpenQuestion holds

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Registered trials

None linked

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.