MétaCan
Menu
Back to cohort
Record W3211702719 · doi:10.1182/blood-2021-150013

Impact of COVID-19 Pandemic on Global Unrelated Stem Cell Donations in 2020 - Report from World Marrow Donor Association

2021· article· en· W3211702719 on OpenAlexaff
Monique Jöris, Stefanie N. Bernas, Alexander H. Schmidt, J.G. Feinberg, Nicoletta Sacchi, Heidi Elmoazzen, Fatma Savran Oğuz, Danielli Cristina Muniz de Oliveira, Kuo‐Liang Yang, Soraya Moomivand, Seied Asadullah Mousavi, Hélder Trindade, Juliana Villa López, Mirjam Fechter, Güldane Cengiz Seval, Thaneya Jeyarajah, Steven M. Devine, Bronwen E. Shaw, Stephen J. Forman, Lydia Foeken

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsCanadian Blood Services
Fundersnot available
KeywordsStem cellPandemicMedicinePopulationCoronavirus disease 2019 (COVID-19)Cord bloodHaematopoiesisHematopoietic stem cell transplantationBone marrowTransplantationImmunologyInternal medicineDemographyBiologyEnvironmental healthDiseaseInfectious disease (medical specialty)Genetics

Abstract

fetched live from OpenAlex

Abstract Introduction: World Marrow Donor Association (WMDA) promotes global collaboration for the benefit of stem cell donors and transplant patients. WMDA activities include recording the number of unrelated hematopoietic stem cell (HSC) donations globally. Because the COVID-19 pandemic also has an impact on the treatment of patients with other diseases, we hypothesise that it also impacted the practice of unrelated hematopoietic stem cell transplantation (HSCT). We used the 2020 WMDA data to examine the trends in unrelated HSC donations during the COVID-19 pandemic globally, per continent and per country/region. Methods: Donor registries (DRs) and cord blood banks (CBBs) from 61 countries participated in the 2020 survey, compared to 59 countries in the 2019. Slight differences in participation between the data sets of 2019 and 2020 do not explain the trends we observe in HSC donations. Country/region-specific COVID-19 data on cases and deaths were obtained from the data repository operated by the Johns Hopkins University Center for Systems Science and Engineering(https://github.com/CSSEGISandData/COVID-19, accessed July 12, 2021); and population data were retrieved from the Worldometer website(https://www.worldometers.info/, accessed July 12, 2021). Results: HSC donations from unrelated donors (peripheral blood stem cells (PBSC) and bone marrow (BM)) decreased from 20,330 in 2019 to 19,623 in 2020 (-3.5%), compared to an average annual growth rate of 3.9% from 2015 to 2019 (figure 1). The 3.5% decrease is composed of a 29.0% decrease for BM and a 2.6% increase for PBSC, resulting in a drop in the BM share of unrelated HSC donations from 19.3% in 2019 to 14.2% in 2020. The number of cord blood unit (CBU) shipments globally decreased with 3.5% from 2,851 to 2,750. The percentage of national use of HSC products (PBSC and BM) increased from 51.2% to 53.5%. When considering the continent on which the patient is transplanted (table 1), the change rate of use of HSC donated products in 2020 vs. 2019 ranged from -28.0% in South America to +18.2% in Africa. In absolute numbers, the largest decrease of HSC donations occurred for patients in Asia (n=-485) followed by Europe (n=-205), and the largest increase occurred in North America (n=+88) followed by Oceania (n=+25). The share of HSC donations requiring intercontinental transport decreased from 24.6% in 2019 to 21.9% in 2020. In terms of the country/region of transplant (table 2), the largest percentage decrease occurred in Colombia (-90,5%) followed by Russia (-55,5%). In absolute numbers, the largest decrease occurred in Turkey (-147), with Japan following (-128, although Japan saw an increase of CBU use of +106). The highest growth rate was observed in Iran (+28,7%), followed by South Africa (+28,2%). In absolute figures, the greatest increase occurred in Italy (+67). The two countries receiving the largest HSC donation numbers showed no major changes versus the previous year: USA: +0.6% (although a decrease for CBU of -21,0% was observed) and Germany: -2.4%. We did not find any significant correlation between the numbers of COVID-19 cases or COVID-19-related deaths per 1 million inhabitants with the HSC donation numbers (Spearman's r=0.05 for cases and =0.08 for deaths). Discussion: The decline in the number of unrelated HSC donations in 2020 suggests an impact of the COVID-19 pandemic on HSC donation and unrelated HSCT. The significant decrease in BM collections and intercontinental/cross-border shipments can be explained by logistically complex processes, as well the increased risk to the donor of being exposed to an operative procedure. CBU as a stem cell source potentially circumvents these logistical complications. However, on a global scale our data does not show increased use of CBU suggesting that decisions to use CBU as a stem cell source did not change in the pandemic . We were unable to demonstrate a correlation between country/region-specific severity of the pandemic and HSC donation numbers. We suspect this is due to the data quality of reported number of COVID-19 cases and COVID-19-related deaths. Also, we did not gather monthly data and therefore could not specify pandemic waves. In conclusion, we would like to point out the fact that global exchanges of HSC products continued and only decreased slightly is an extraordinary achievement of DRs, CBBs and their donors and is a testament to the importance of international collaborations in the WMDA. Figure 1 Figure 1. Disclosures Devine: Orca Bio: Consultancy, Research Funding; Johnsonand Johnson: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Magenta Therapeutics: Current Employment, Research Funding; Tmunity: Current Employment, Research Funding; Vor Bio: Research Funding; Kiadis: Consultancy, Research Funding; Be the Match: Current Employment. Shaw: Orca bio: Consultancy; mallinkrodt: Other: payments. Forman: Mustang Bio: Consultancy, Current holder of individual stocks in a privately-held company; Lixte Biotechnology: Consultancy, Current holder of individual stocks in a privately-held company; Allogene: Consultancy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.329
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicBiomedical Ethics and RegulationFrench-language works237,207