Evidence map›Paper›PMID 29296730›Full record

ArticleBlood advances2017

A population-based longitudinal study on the implication of demographic changes on blood donation and transfusion demand.

Andreas Greinacher, Kerstin Weitmann, Linda Schönborn, Ulf Alpen, Doris Gloger, Wolfgang Stangenberg, Kerstin Stüpmann, Nico Greger, Volker Kiefel, Wolfgang Hoffmann

Open access · goldAbstract read
In one paragraph

Article in Blood advances, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
12.6field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 76 citations in OpenAlex.

  1. The resurgence of whole blood transfusion: Evaluating microcirculatory evidence in hemorrhagic trauma care: A review.Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2026
    Review
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  6. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Article
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  10. Predicting Individual Patient Platelet Demand in a Large Tertiary Care Hospital Using Machine Learning.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Article
  11. Review
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  16. In the Mood for a Blood Donation? Pilot Study about Momentary Mood, Satisfaction, and Return Behavior in Deferred First-Time Donors.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2021
    Article
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  18. Population-Based Analysis of the Impact of Demographics on the Current and Future Blood Supply in the Saarland.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2021
    Article
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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

10 authors at 5 institutions in 1 country.

Andreas GreinacherInstitut für Immunologie und Transfusionsmedizin and.
Kerstin WeitmannInstitut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Germany.
Linda SchönbornInstitut für Immunologie und Transfusionsmedizin and.
Ulf AlpenInstitut für Immunologie und Transfusionsmedizin and.
Doris GlogerHaema Blutspendezentrum Rostock, Rostock, Germany.
Wolfgang StangenbergBlutspendedienst Deutsches Rotes Kreuz Mecklenburg-Vorpommern, Neubrandenburg, Germany; and.
Kerstin StüpmannBlutspendedienst Deutsches Rotes Kreuz Mecklenburg-Vorpommern, Neubrandenburg, Germany; and.
Nico GregerInstitut für Transfusionsmedizin, Universitätsmedizin Rostock, Rostock, Germany.
Volker KiefelInstitut für Transfusionsmedizin, Universitätsmedizin Rostock, Rostock, Germany.
Wolfgang HoffmannInstitut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Germany.
Immungenetics (Germany) · DEUniversitätsmedizin Greifswald · DEUniversitätsmedizin Rostock · DEDRK-Blutspendedienst Baden-Württemberg - Hessen · DEGerman Red Cross · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfusion safety includes the risk of transmission of pathogens, appropriate transfusion thresholds, and sufficient blood supply. All industrialized countries experience major ongoing demographic changes resulting from low birth rates and aging of the baby boom generation. Little evidence exists about whether future blood supply and demand correlate with these demographic changes. The ≥50% decline in birth rate in the eastern part of Germany after 1990 facilitates systematic study of the effects of pronounced demographic changes on blood donation and demand. In this prospective, 10-year longitudinal study, we enrolled all whole blood donors and all patients receiving red blood cell transfusions in the state of Mecklenburg-West Pomerania. We compared projections made in 2005 based on the projected demographic changes with: (1) number and age distribution of blood donors and transfusion recipients in 2015 and (2) blood demand within specific age and patient groups. Blood donation rates closely followed the demographic changes, showing a decrease of -18% (vs projected -23%). In contrast, 2015 transfusion rates were -21.3% lower than projected. We conclude that although changes in demography are highly predictive for the blood supply, transfusion demand is strongly influenced by changes in medical practice. Given ongoing pronounced demographic change, regular monitoring of the donor/recipient age distributions and associated impact on blood demand/supply relationships is required to allow strategic planning to prevent blood shortages or overproduction.

Identifiers

PMID29296730
PMCPMC5737597
OpenAlexW2618536374

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.