Evidence map›Paper›PMID 31902958›Full record

ArticleBulletin of the World Health Organization2020

Population-based projections of blood supply and demand, China, 2017-2036.

Xiaochu Yu, Zixing Wang, Yubing Shen, Zhong Liu, Hongjie Wang, Shumei Zhang, Jia Gan, Fang Xue, Wei Han, Xin Shi and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  8. Outcome expectations and repeated blood donation behavior: a moderated mediation model in a prospective observational study.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Observational
  9. Article
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  11. Red Blood Cell Membrane-Coated Nanoparticles Enable Incompatible Blood Transfusions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  12. Article
  13. Article
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  15. Article
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  18. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Xiaochu YuDepartment of Nephrology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Zixing WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Yubing ShenDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Zhong LiuClinical Transfusion Research Center , Institute of Blood Transfusion, Chinese Academy of Medical Sciences, Chengdu, China.
Hongjie WangBeijing Red Cross Blood Center, Beijing, China.
Shumei ZhangSchool of Statistics, Beijing Normal University, Beijing, China.
Jia GanDepartment of Blood Transfusion, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Fang XueDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Wei HanDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Xin ShiBeijing Red Cross Blood Center, Beijing, China.
Yaoda HuDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Lei WangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Ning LiDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Peng WuDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Cuihong YangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.
Jingmei JiangDepartment of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, No. 5, Dong Dan San Tiao, Dong Cheng District, Beijing 100005, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the long-term effect of the changing demography in China on blood supply and demand.

methodsWe developed a predictive model to estimate blood supply and demand during 2017-2036 in mainland China and in 31 province-level regions. Model parameters were obtained from World Population Prospects,

findingsWe estimated that the change in demographic structure between 2016 (baseline year) and 2036 would result in a 16.0% decrease in blood supply (from 43.2 million units of 200 mL to 36.3 million units) and a 33.1% increase in demand (from 43.2 million units to 57.5 million units). In 2036, there would be an estimated shortage of 21.2 million units. An annual increase in supply between 0.9% and 1.8% is required to maintain a balance in blood supply and demand. This increase is not enough for every region as regional differences will increase, e.g. a blood demand/supply ratio ≥ 1.45 by 2036 is predicted in regions with large populations older than 65 years. Sensitivity analyses showed that increasing donations by 4.0% annually by people aged 18-34 years or decreasing the overall blood discard rate from 5.0% to 2.0% would not offset but help reduce the blood shortage.

conclusionMultidimensional strategies and tailored, coordinated actions are needed to deal with growing pressures on blood services because of China's ageing population.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsBlood BanksBlood DonorsBlood TransfusionChildChild, PreschoolChinaHealth Services Needs and DemandHumansInfantInfant, NewbornMiddle Aged

Identifiers

PMID31902958
PMCPMC6933428

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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.