Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 628

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study

Open access
Hewitt, Jonathan, Carter, Ben, Vilches-Moraga, Arturo, Quinn, Terence J, Braude, Philip, Verduri, Alessia, Pearce, Lyndsay, Stechman, Michael, Short, Roxanna, Price, Angeline, Collins, Jemima T, Bruce, Eilidh, Einarsson, Alice, Rickard, Frances, Mitchell, Emma, Holloway, Mark, Hesford, James, Barlow-Pay, Fenella, Clini, Enrico, Myint, Phyo K, Moug, Susan J, McCarthy, Kathryn, Davey, Charlotte, Jones, Sheila, Lunstone, Kiah, Cavenagh, Alice, Silver, Charlotte, Telford, Thomas, Simmons, Rebecca, Mutasem, Tarik El Jichi, Singh, Sandeep, Paxton, Dolcie, Harris, Will, Galbraith, Norman, Bhatti, Emma, Edwards, Jenny, Duffy, Siobhan, Bisset, Carly, Alexander, Ross, Garcia, Madeline, Sangani, Shefali, Kneen, Thomas, Lee, Thomas, McGovern, Aine, Guaraldi, Giovanni·2020·The Lancet Public Health

Abstract

BACKGROUND: The COVID-19 pandemic has placed unprecedented strain on health-care systems. Frailty is being used in clinical decision making for patients with COVID-19, yet the prevalence and effect of frailty in people with COVID-19 is not known. In the COVID-19 in Older PEople (COPE) study we aimed to establish the prevalence of frailty in patients with COVID-19 who were admitted to hospital and investigate its association with mortality and duration of hospital stay. METHODS: This was an observational cohort study conducted at ten hospitals in the UK and one in Italy. All adults (≥18 years) admitted to participating hospitals with COVID-19 were included. Patients with incomplete hospital records were excluded. The study analysed routinely generated hospital data for patients with COVID-19. Frailty was assessed by specialist COVID-19 teams using the clinical frailty scale (CFS) and patients were grouped according to their score (1-2=fit; 3-4=vulnerable, but not frail; 5-6=initial signs of frailty but with some degree of independence; and 7-9=severe or very severe frailty). The primary outcome was in-hospital mortality (time from hospital admission to mortality and day-7 mortality). FINDINGS: Between Feb 27, and April 28, 2020, we enrolled 1564 patients with COVID-19. The median age was 74 years (IQR 61-83); 903 (57·7%) were men and 661 (42·3%) were women; 425 (27·2%) had died at data cutoff (April 28, 2020). 772 (49·4%) were classed as frail (CFS 5-8) and 27 (1·7%) were classed as terminally ill (CFS 9). Compared with CFS 1-2, the adjusted hazard ratios for time from hospital admission to death were 1·55 (95% CI 1·00-2·41) for CFS 3-4, 1·83 (1·15-2·91) for CFS 5-6, and 2·39 (1·50-3·81) for CFS 7-9, and adjusted odds ratios for day-7 mortality were 1·22 (95% CI 0·63-2·38) for CFS 3-4, 1·62 (0·81-3·26) for CFS 5-6, and 3·12 (1·56-6·24) for CFS 7-9. INTERPRETATION: In a large population of patients admitted to hospital with COVID-19, disease outcomes were better predicted by frailty than either age or comorbidity. Our results support the use of CFS to inform decision making about medical care in adult patients admitted to hospital with COVID-19. FUNDING: None.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s2468-2667(20)30146-8

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 10 references

Cited by

See all 628

Metadata

Authors
Hewitt, J., Carter, B., Vilches-Moraga, A., Quinn, T. J., Braude, P., Verduri, A., Pearce, L., Stechman, M., Short, R., Price, A., Collins, J. T., Bruce, E., Einarsson, A., Rickard, F., Mitchell, E., Holloway, M., Hesford, J., Barlow-Pay, F., Clini, E., Myint, P. K., Moug, S. J., McCarthy, K., Davey, C., Jones, S., Lunstone, K., Cavenagh, A., Silver, C., Telford, T., Simmons, R., Mutasem, T. E. J., Singh, S., Paxton, D., Harris, W., Galbraith, N., Bhatti, E., Edwards, J., Duffy, S., Bisset, C., Alexander, R., Garcia, M., Sangani, S., Kneen, T., Lee, T., McGovern, A., & Guaraldi, G.
Venue
The Lancet Public Health
Publisher
Elsevier BV
Published
2020-08
Volume
5
Issue
8
Pages
e444-e451
ISSN
2468-2667 (ISSN-L)
OpenAlex
W3038265715
Cited by
628
References
10
FWCI
60.79
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study. https://app.cochat.ai/papers/10.1016/s2468-2667(20)30146-8
The paper
Hewitt, J., Carter, B., Vilches-Moraga, A., Quinn, T. J., Braude, P., Verduri, A., Pearce, L., Stechman, M., Short, R., Price, A., Collins, J. T., Bruce, E., Einarsson, A., Rickard, F., Mitchell, E., Holloway, M., Hesford, J., Barlow-Pay, F., Clini, E., . . . Guaraldi, G. (2020). The effect of frailty on survival in patients with COVID-19 (COPE): a multicentre, European, observational cohort study. The Lancet Public Health. https://doi.org/10.1016/s2468-2667(20)30146-8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.