Evidence map›Paper›PMID 31290390›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2019

Seroprevalence and demographic factors associated with hepatitis B, hepatitis C and HIV infection from a hospital emergency department testing programme, London, United Kingdom, 2015 to 2016.

Nick Bundle, Sooria Balasegaram, Sarah Parry, Sadna Ullah, Ross J Harris, Karim Ahmad, Graham R Foster, Cheuk Yw Tong, Chloe Orkin

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Testing for human immunodeficiency virus.Australian prescriber · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Targeted HIV screening in the emergency department.Internal and emergency medicine · 2021
    Review
  8. Review
  9. Observational
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

9 authors at 3 institutions in 1 country.

Nick BundleUnited Kingdom Field Epidemiology Training Programme, Public Health England, London, United Kingdom.
Sooria BalasegaramField Epidemiology Services, National Infection Service, Public Health England, London, United Kingdom.
Sarah ParryQueen Mary University of London, London, United Kingdom.
Sadna UllahQueen Mary University of London, London, United Kingdom.
Ross J HarrisStatistics, Modelling and Economics Department, National Infection Service, Public Health England, London, United Kingdom.
Karim AhmadBarts Health NHS Trust, Emergency Department, Royal London Hospital, London, United Kingdom.
Graham R FosterBlizard Institute, Queen Mary University, London, United Kingdom.
Cheuk Yw TongBarts Health NHS Trust, Virology department, Royal London Hospital, London, United Kingdom.
Chloe OrkinQueen Mary University of London, London, United Kingdom.
Queen Mary University of London · GBPublic Health England · GBRoyal London Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundProgress towards HIV, hepatitis B virus (HBV) and hepatitis C virus (HCV) elimination requires local prevalence estimates and linkage to care (LTC) of undiagnosed or disengaged cases.AimWe aimed to estimate seroprevalence, factors associated with positive blood-borne virus (BBV) serology and numbers needed to screen (NNS) to detect a new BBV diagnosis and achieve full LTC from emergency department (ED) BBV testing.MethodsDuring a 9-month programme in an ED in east London, England, testing was offered to adult attendees having a full blood count (FBC). We estimated factors associated with positive BBV serology using logistic regression and NNS as the inverse of seroprevalence. Estimates were weighted to the age, sex and ethnicity of the FBC population.ResultsOf 6,211 FBC patients tested, 217 (3.5%) were positive for at least one BBV. Weighted BBV seroprevalence was 4.2% (95% confidence interval (CI): 3.6-4.9). Adjusted odds ratios (aOR) of positive BBV serology were elevated among patients that were: male (aOR: 2.7; 95% CI: 1.9-3.9), 40-59 years old (aOR: 1.9; 95% CI: 1.4-2.7), of Black British/Black other ethnicity (aOR: 1.8; 95% CI: 1.2-2.8) or had no fixed address (aOR: 2.9; 95% CI: 1.5-5.5). NNS to detect a new BBV diagnosis was 154 (95% CI: 103-233) and 135 (95% CI: 93-200) to achieve LTC.ConclusionsThe low NNS suggests routine BBV screening in EDs may be worthwhile. Those considering similar programmes should use our findings to inform their assessments of anticipated public health benefits.

Indexed as

AdolescentAdultAgedAged, 80 and overBlood-Borne PathogensEmergency Service, HospitalFemaleHepacivirusHepatitis BHepatitis B virusHepatitis CHIV InfectionsHumansLondonMaleMass Screeningblood-borne virus testingemergency departmenthepatitis Bhepatitis CHIVhuman immunodeficiency virusseroprevalence

Identifiers

PMID31290390
PMCPMC6628754
OpenAlexW2954380346

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.