Evidence map›Paper›PMID 34304048›Full record

ArticleEBioMedicine2021

Shorter leukocyte telomere length is associated with adverse COVID-19 outcomes: A cohort study in UK Biobank.

Qingning Wang, Veryan Codd, Zahra Raisi-Estabragh, Crispin Musicha, Vasiliki Bountziouka, Stephen Kaptoge, Elias Allara, Emanuele Di Angelantonio, Adam S Butterworth, Angela M Wood and 6 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 1 country.

Qingning WangDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
Veryan CoddDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
Zahra Raisi-EstabraghWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M6BQ, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London EC1A7BE, United Kingdom.
Crispin MusichaDepartment of Health Sciences, University of Leicester, United Kingdom; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
Vasiliki BountzioukaDepartment of Health Sciences, University of Leicester, United Kingdom; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
Stephen KaptogeDepartment of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester, United Kingdom; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom.
Elias AllaraBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom.
Emanuele Di AngelantonioBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom.
Adam S ButterworthBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom.
Angela M WoodBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom; Medical Research Council Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, United Kingdom; The Alan Turing Institute, London, United Kingdom.
John R ThompsonDepartment of Health Sciences, University of Leicester, United Kingdom.
Steffen E PetersenWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M6BQ, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London EC1A7BE, United Kingdom.
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
John N DaneshBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, United Kingdom; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, United Kingdom; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, United Kingdom; Department of Human Genetics, Wellcome Sanger Institute, Hinxton, United Kingdom.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom.
Christopher P NelsonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom; NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom. Electronic address: cn46@leicester.ac.uk.
University of Leicester · GBUniversity of Cambridge · GBSt Bartholomew's Hospital · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

British Heart Foundation CH/12/2/29428British Heart Foundation FS/17/81/33318British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946Medical Research Council MC_PC_17228Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_QA137853Medical Research Council MR/L003120/1Medical Research Council MR/M012816/1
6 · The paper itself

Abstract

Background Older age is the most powerful risk factor for adverse coronavirus disease-19 (COVID-19) outcomes. It is uncertain whether leucocyte telomere length (LTL), previously proposed as a marker of biological age, is also associated with COVID-19 outcomes. Methods We associated LTL values obtained from participants recruited into UK Biobank (UKB) during 2006-2010 with adverse COVID-19 outcomes recorded by 30 November 2020, defined as a composite of any of the following: hospital admission, need for critical care, respiratory support, or mortality. Using information on 130 LTL-associated genetic variants, we conducted exploratory Mendelian randomisation (MR) analyses in UKB to evaluate whether observational associations might reflect cause-and-effect relationships. Findings Of 6775 participants in UKB who tested positive for infection with SARS-CoV-2 in the community, there were 914 (13.5%) with adverse COVID-19 outcomes. The odds ratio (OR) for adverse COVID-19 outcomes was 1·17 (95% CI 1·05-1·30; P = 0·004) per 1-SD shorter usual LTL, after adjustment for age, sex and ethnicity. Similar ORs were observed in analyses that: adjusted for additional risk factors; disaggregated the composite outcome and reduced the scope for selection or collider bias. In MR analyses, the OR for adverse COVID-19 outcomes was directionally concordant but non-significant. Interpretation Shorter LTL is associated with higher risk of adverse COVID-19 outcomes, independent of several major risk factors for COVID-19 including age. Further data are needed to determine whether this association reflects causality. Funding UK Medical Research Council, Biotechnology and Biological Sciences Research Council and British Heart Foundation.

Indexed as

AgedBiological Specimen BanksCohort StudiesCOVID-19FemaleHumansLeukocytesMaleMendelian Randomization AnalysisMiddle AgedRisk FactorsSARS-CoV-2TelomereUnited Kingdom

Identifiers

PMID34304048
PMCPMC8299112
OpenAlexW3183153226

What OpenQuestion holds

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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.