Evidence map›Paper›PMID 36794597›Full record

ArticleTransfusion2023

Impact of a post-donation hemoglobin testing strategy on efficiency and safety of whole blood donation in England: A modeling study.

Lois G Kim, Thomas Bolton, Michael J Sweeting, Steven Bell, Sarah Fahle, Amy McMahon, Matthew Walker, Eamonn Ferguson, Gail Miflin, David J Roberts and 2 more

Abstract read
In one paragraph

Article in Transfusion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Study on Predictive Methods for Delayed Blood Donation Due to Low Hemoglobin: Evidence Based on Blood Donation Data in Hangzhou, China.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Lois G KimBlood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, UK.ORCID 0000-0002-4552-3820
Thomas BoltonDept of Public Health & Primary Care, University of Cambridge, Cambridge, UK.
Michael J SweetingDept of Health Sciences, University of Leicester, Leicester, UK.
Steven BellDept of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Sarah FahleBlood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, UK.
Amy McMahonBlood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, UK.
Matthew WalkerBlood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, UK.
Eamonn FergusonBlood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, UK.ORCID 0000-0002-7678-1451
Gail MiflinNHS Blood & Transplant, Bristol, UK.
David J RobertsBlood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, UK.
Emanuele Di AngelantonioBlood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, UK.
Angela M WoodBlood and Transplant Research Unit in Donor Health and Behaviour, Cambridge, UK.

Funding

British Heart Foundation CH/12/2/29428British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946Department of Health BRC-1215-20014Department of Health NIHR203337Department of Health NIHR BTRU-2014-10024Medical Research Council MR/L003120/1Wellcome Trust
6 · The paper itself

Abstract

backgroundDeferrals due to low hemoglobin are time-consuming and costly for blood donors and donation services. Furthermore, accepting donations from those with low hemoglobin could represent a significant safety issue. One approach to reduce them is to use hemoglobin concentration alongside donor characteristics to inform personalized inter-donation intervals. STUDY DESIGN AND

methodsWe used data from 17,308 donors to inform a discrete event simulation model comparing personalized inter-donation intervals using "post-donation" testing (i.e., estimating current hemoglobin from that measured by a hematology analyzer at last donation) versus the current approach in England (i.e., pre-donation testing with fixed intervals of 12-weeks for men and 16-weeks for women). We reported the impact on total donations, low hemoglobin deferrals, inappropriate bleeds, and blood service costs. Personalized inter-donation intervals were defined using mixed-effects modeling to estimate hemoglobin trajectories and probability of crossing hemoglobin donation thresholds.

resultsThe model had generally good internal validation, with predicted events similar to those observed. Over 1 year, a personalized strategy requiring ≥90% probability of being over the hemoglobin threshold, minimized adverse events (low hemoglobin deferrals and inappropriate bleeds) in both sexes and costs in women. Donations per adverse event improved from 3.4 (95% uncertainty interval 2.8, 3.7) under the current strategy to 14.8 (11.6, 19.2) in women, and from 7.1 (6.1, 8.5) to 26.9 (20.8, 42.6) in men. In comparison, a strategy incorporating early returns for those with high certainty of being over the threshold maximized total donations in both men and women, but was less favorable in terms of adverse events, with 8.4 donations per adverse event in women (7.0, 10,1) and 14.8 (12.1, 21.0) in men. DISCUSSION: Personalized inter-donation intervals using post-donation testing combined with modeling of hemoglobin trajectories can help reduce deferrals, inappropriate bleeds, and costs.

Indexed as

Blood DonationHemoglobinsBlood DonorsEnglandFemaleHematologic TestsHumansMaleHemoglobinsblood donationlow hemoglobin deferralpost-donation testingsimulation modeling

Identifiers

PMID36794597
PMCPMC10952564

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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.