Evidence map›Paper›PMID 39100962›Full record

ArticleRoyal Society open science2024

Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry.

Sarah Hayes, Ruth McCabe, Daniela De Angelis, Christl A Donnelly, Stephen J W Evans, Graham F Medley, David J Spiegelhalter, Sheila M Bird

Abstract read
In one paragraph

Article in Royal Society open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Sarah HayesDepartment of Statistics, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-9976-6537
Ruth McCabeDepartment of Statistics, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-6368-9103
Daniela De AngelisMRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0001-6619-6112
Christl A DonnellyDepartment of Statistics, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-0195-2463
Stephen J W EvansLondon School of Hygiene & Tropical Medicine, London, UK.
Graham F MedleyLondon School of Hygiene & Tropical Medicine, London, UK.
David J SpiegelhalterCentre for Mathematical Sciences, University of Cambridge, Cambridge, UK.
Sheila M BirdMRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Statistics Expert Group was convened at the request of the Infected Blood Inquiry to provide estimates of the number of infections and deaths from blood-borne infections including hepatitis B virus, human immunodeficiency virus, hepatitis C virus (HCV) and variant Creutzfeldt Jakob disease, as a direct result of contaminated blood and blood products administered in the United Kingdom of Great Britain and Northern Ireland (UK). In the absence of databases of HCV infections and related deaths for all nations of the UK, a statistical model was required to estimate the number of infections and subsequent deaths from HCV acquired from blood transfusions from January 1970 to August 1991. We present this statistical model in detail alongside the results of its application to each of the four nations in the UK. We estimated that 26 800 people (95% uncertainty interval 21 300-38 800) throughout the UK were chronically infected with HCV because of contaminated blood transfusions between January 1970 and August 1991. The number of deaths up to the end of 2019 that occurred as a result of this chronic infection is estimated to be 1820 (95% uncertainty interval 650-3320).

Indexed as

blood transfusionhepatitis Cinfected bloodmodelling

Identifiers

PMID39100962
PMCPMC11296209

What OpenQuestion holds

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LicenceCC BY
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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.