Evidence map›Paper›PMID 29378859›Full record

ArticleThorax2018

High prevalence of latent tuberculosis and bloodborne virus infection in a homeless population.

Robert W Aldridge, Andrew C Hayward, Sara Hemming, Susan K Yates, Gloria Ferenando, Lucia Possas, Elizabeth Garber, John M Watson, Anna Maria Geretti, Timothy Daniel McHugh and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Thorax, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
8.5field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Barriers and facilitators to hepatitis C screening and treatment for people with lived experience of homelessness: A mixed-methods systematic review.Health expectations : an international journal of public participation in health care and health policy · 2022
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  12. Drug resistantPeerJ · 2022
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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

12 authors at 6 institutions in 3 countries.

Robert W AldridgeCentre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.ORCID 0000-0003-0542-0816
Andrew C HaywardCentre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.
Sara HemmingCentre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.
Susan K YatesCentre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.
Gloria FerenandoCentre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.
Lucia PossasCentre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.
Elizabeth GarberCentre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.
John M WatsonCentre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK.
Anna Maria GerettiInstitute of Infection and Global Health, University of Liverpool, Liverpool, UK.
Timothy Daniel McHughCentre for Clinical Microbiology, Division of Infection and Immunity, University College London, London, UK.
Marc LipmanRoyal Free London NHS Foundation Trust, London, UK.
Alistair StoryFind&Treat, University College London Hospitals, London, UK.
Royal Free London NHS Foundation Trust · GBFarr Institute · GBInstitute of Infection and Immunity · CARoyal London Hospital · GBUniversity College London · GBUniversity of Liverpool · GB

Funding

Arthritis Research UKBritish Heart FoundationCancer Research UKChief Scientist OfficeDepartment of Health RP-PG-0407-10340Medical Research Council K006584/1Wellcome TrustWellcome Trust 097980/Z/11/Z
6 · The paper itself

Abstract

introductionUrban homeless populations in the UK have been shown to have high rates of active tuberculosis, but less is known about the prevalence of latent tuberculosis infection (LTBI). This study aimed to estimate the prevalence of LTBI among individuals using homeless hostels in London.

methodsWe performed a cross-sectional survey with outcome follow-up in homeless hostels in London. Our primary outcome was prevalence of LTBI. Recruitment for the study took place between May 2011 and June 2013. To estimate an LTBI prevalence of 10% with 95% CIs between 8% and 13%, we required 500 participants.

results491/804 (61.1%) individuals agreed to be screened. The prevalence of LTBI was 16.5% (81/491; 95% CI 13.2 to 19.8). In UK-born individuals, a history of incarceration was associated with increased risk of LTBI (OR 3.49; 95% CI 1.10 to 11.04; P=0.018) after adjusting for age, length of time spent homeless and illicit drug use. Of the three subjects who met English treatment guidelines for LTBI at the time of the study, none engaged with services after referral for treatment. Prevalence of past hepatitis B infection was 10.4% (51/489; 95% CI 7.7 to 13.1), and 59.5% (291/489; 95% CI 55.1 to 63.9) of individuals were non-immune. Prevalence of current hepatitis C infection was 10.4% (51/489; 95% CI 7.8 to 13.1).

conclusionsThis study demonstrates the high prevalence of LTBI in homeless people in London and the associated poor engagement with care. There is a large unmet need for LTBI and hepatitis C infection treatment, and hepatitis B vaccination, in this group.

Indexed as

Ill-Housed PersonsAdultCross-Sectional StudiesFemaleHepatitis BHepatitis CHIV InfectionsHumansLatent TuberculosisLondonMaleMiddle AgedPrevalenceRisk Factorsclinical epidemiologyrespiratory infectiontuberculosis

Identifiers

PMID29378859
PMCPMC5969342
OpenAlexW2785820375

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.