Evidence map›Paper›PMID 33316211›Full record

ArticleThe lancet. HIV2021

HIV infection and COVID-19 death: a population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform.

Krishnan Bhaskaran, Christopher T Rentsch, Brian MacKenna, Anna Schultze, Amir Mehrkar, Chris J Bates, Rosalind M Eggo, Caroline E Morton, Sebastian C J Bacon, Peter Inglesby and 15 more

Open access · hybridAbstract read
In one paragraph

Article in The lancet. HIV, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 278 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
278citing papers in PubMed, 9 pooled it
29.5field-weighted citation impact, top 1% 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

278 citing papers in PubMed, 9 syntheses or guidelines pooled it, 463 citations in OpenAlex.

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  18. Profile of SARS-CoV-2/HIV-1 coinfection in patients from the extreme south of Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
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218 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 3 institutions in 1 country.

Krishnan BhaskaranFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK. Electronic address: krishnan.bhaskaran@lshtm.ac.uk.
Christopher T RentschFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Brian MacKennaThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Anna SchultzeFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Amir MehrkarThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Chris J BatesThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Rosalind M EggoThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Caroline E MortonThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Sebastian C J BaconThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Peter InglesbyThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Ian J DouglasFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Alex J WalkerThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Helen I McDonaldFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Jonathan CockburnThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Elizabeth J WilliamsonFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
David EvansThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Harriet J ForbesFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Helen J CurtisThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
William J HulmeThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
John ParryThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Frank HesterThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Sam HarperThe Phoenix Partnership, TPP House, Horsforth, Leeds, UK.
Stephen J W EvansFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK; The DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Ben GoldacreThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
University of Oxford · GBLondon School of Hygiene & Tropical Medicine · GBJohn Lewis Partnership (United Kingdom) · GB

Funding

Medical Research Council MC_PC 19065Medical Research Council MC_PC_19065Medical Research Council MR/S003940/1Medical Research Council MR/S003975/1Wellcome TrustWellcome Trust 107731/Z/15/Z
6 · The paper itself

Abstract

backgroundWhether HIV infection is associated with risk of death due to COVID-19 is unclear. We aimed to investigate this association in a large-scale population-based study in England.

methodsWe did a retrospective cohort study. Working on behalf of NHS England, we used the OpenSAFELY platform to analyse routinely collected electronic primary care data linked to national death registrations. We included all adults (aged ≥18 years) alive and in follow-up on Feb 1, 2020, and with at least 1 year of continuous registration with a general practitioner before this date. People with a primary care record for HIV infection were compared with people without HIV. The outcome was COVID-19 death, defined as the presence of International Classification of Diseases 10 codes U07.1 or U07.2 anywhere on the death certificate. Cox regression models were used to estimate the association between HIV infection and COVID-19 death; they were initially adjusted for age and sex, then we added adjustment for index of multiple deprivation and ethnicity, and then for a broad range of comorbidities. Interaction terms were added to assess effect modification by age, sex, ethnicity, comorbidities, and calendar time.

results17 282 905 adults were included, of whom 27 480 (0·16%) had HIV recorded. People living with HIV were more likely to be male, of Black ethnicity, and from a more deprived geographical area than the general population. 14 882 COVID-19 deaths occurred during the study period, with 25 among people with HIV. People living with HIV had higher risk of COVID-19 death than those without HIV after adjusting for age and sex: hazard ratio (HR) 2·90 (95% CI 1·96-4·30; p<0·0001). The association was attenuated, but risk remained high, after adjustment for deprivation, ethnicity, smoking and obesity: adjusted HR 2·59 (95% CI 1·74-3·84; p<0·0001). There was some evidence that the association was larger among people of Black ethnicity: HR 4·31 (95% CI 2·42-7·65) versus 1·84 (1·03-3·26) in non-Black individuals (p-interaction=0·044).

interpretationPeople with HIV in the UK seem to be at increased risk of COVID-19 mortality. Targeted policies should be considered to address this raised risk as the pandemic response evolves.

fundingWellcome, Royal Society, National Institute for Health Research, National Institute for Health Research Oxford Biomedical Research Centre, UK Medical Research Council, Health Data Research UK.

Indexed as

PandemicsAdolescentAdultAgedAged, 80 and overAge FactorsAsian PeopleBlack PeopleCoinfectionCOVID-19FemaleHIV-1HIV InfectionsHumansMaleMiddle Aged

Identifiers

PMID33316211
PMCPMC7773630
OpenAlexW3112209524

What OpenQuestion holds

Textmetadata
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.