Evidence map›Paper›PMID 29907807›Full record

ArticleBone marrow transplantation2019

Availability of HLA-allele-matched unrelated donors: estimation from haplotype frequency in the Japanese population.

Satoshi Nishiwaki, Hidenori Tanaka, Hiroto Kojima, Shinichiro Okamoto

Abstract read
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Article in Bone marrow transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Satoshi NishiwakiCenter for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan. n-3104@tf7.so-net.ne.jp.ORCID 0000-0002-6430-8958
Hidenori TanakaHLA Foundation Laboratory, Kyoto, Japan.
Hiroto KojimaHLA Foundation Laboratory, Kyoto, Japan.
Shinichiro OkamotoDivision of Hematology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Keio University · JPNagoya University Hospital · JP

Funding

Japan Agency for Medical Research and Development (AMED) 18ek0510014h0003Japan Society for the Promotion of Science (JSPS) JP17K16186
6 · The paper itself

Abstract

A human leukocyte antigen (HLA)-matched unrelated donor is the primary alternative donor for allogeneic hematopoietic cell transplantation in Japan. In considering an optimal donor registry size, the availability of HLA-matched donors is important. In this study, the probability of finding an HLA-A, -B, -C, and -DRB1 allele-matched donor was estimated using two different methods based on the haplotype frequencies in the Japanese population: an actual measurement method (AMM) and a formula method (FM). According to AMM, the probabilities of finding an HLA-matched donor were 40.5% in 100,000 donors, 54.4% in 300,000, 60.0% in 500,000, and 63.4% in 700,000. On the other hand, according to FM, the probabilities were 47.8% in 100,000 donors, 59.9% in 300,000, 65.3% in 500,000, and 68.8% in 700,000. The probabilities increased by 8.6 or 7.7%, 3.2 or 3.1%, 2.1 or 1.9%, and 1.6 or 1.3% in AMM or FM, respectively, as the registry size increased by 100,000. The rate of increase in the probability of finding an HLA-matched donor will become smaller as the registry size increases due to the diversity of haplotypes. Therefore, it is important to set a target donor registry size for efficient donor recruitment by considering the haplotype frequencies in the population.

Indexed as

AllelesGenotypeHaplotypesHistocompatibilityHLA AntigensHumansJapanModels, GeneticProbabilityRegistriesSample SizeUnrelated DonorsHLA Antigens

Identifiers

PMID29907807
OpenAlexW2808424559

What OpenQuestion holds

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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.