Evidence map›Paper›PMID 32676624›Full record

ArticlemedRxiv : the preprint server for health sciences2020

COVID-19 severity is predicted by earlier evidence of accelerated aging.

Chia-Ling Kuo, Luke C Pilling, Janice L Atkins, Jane Ah Masoli, João Delgado, Christopher Tignanelli, George A Kuchel, David Melzer, Kenneth B Beckman, Morgan E Levine

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Chia-Ling KuoConnecticut Convergence Institute for Translation in Regenerative Engineering, University of Connecticut Health, Farmington, Connecticut, USA.
Luke C PillingUniversity of Connecticut Center on Aging, School of Medicine, Farmington, Connecticut, USA.
Janice L AtkinsCollege of Medicine and Health, University of Exeter, UK.
Jane Ah MasoliCollege of Medicine and Health, University of Exeter, UK.
João DelgadoCollege of Medicine and Health, University of Exeter, UK.
Christopher TignanelliDepartment of Surgery, University of Minnesota, Minneapolis, Minnesota.
George A KuchelUniversity of Connecticut Center on Aging, School of Medicine, Farmington, Connecticut, USA.
David MelzerUniversity of Connecticut Center on Aging, School of Medicine, Farmington, Connecticut, USA.
Kenneth B BeckmanInstitute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
Morgan E LevineDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

Funding

Translational Geroscience NetworkR33AG061456 · NIA · MAYO CLINIC ROCHESTER · PI JAMES L. KIRKLAND, STEPHEN B. KRITCHEVSKY · 2019 to 2026
$6.2M
Molecular mechanisms and social constructs: How genes and environment regulate the rate of agingR00AG052604 · NIA · YALE UNIVERSITY · PI LEVINE, MORGAN ELYSE, TIGNANELLI, CHRISTOPHER J · 2017 to 2020
$866k
Understanding the role of ApoE2 in longevity and age-related diseases and conditions using 500,000 UK Biobank participantsR21AG060018 · NIA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KUO, CHIA-LING · 2018 to 2020
$434k
Medical Research Council MR/S009892/1NIA NIH HHS R00 AG052604NIA NIH HHS R21 AG060018NIA NIH HHS R33 AG061456
6 · The paper itself

Abstract

With no known treatments or vaccine, COVID-19 presents a major threat, particularly to older adults, who account for the majority of severe illness and deaths. The age-related susceptibility is partly explained by increased comorbidities including dementia and type II diabetes [1]. While it is unclear why these diseases predispose risk, we hypothesize that increased biological age, rather than chronological age, may be driving disease-related trends in COVID-19 severity with age. To test this hypothesis, we applied our previously validated biological age measure (PhenoAge) [2] composed of chronological age and nine clinical chemistry biomarkers to data of 347,751 participants from a large community cohort in the United Kingdom (UK Biobank), recruited between 2006 and 2010. Other data included disease diagnoses (to 2017), mortality data (to 2020), and the UK national COVID-19 test results (to May 31, 2020) [3]. Accelerated aging 10-14 years prior to the start of the COVID-19 pandemic was associated with test positivity (OR=1.15 per 5-year acceleration, 95% CI: 1.08 to 1.21, p=3.2×10

Identifiers

PMID32676624
PMCPMC7359549

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.