Evidence map›Paper›PMID 34112103›Full record

ArticleBMC geriatrics2021

The role of SARC-F scale in predicting progression risk of COVID-19 in elderly patients: a prospective cohort study in Wuhan.

Yao Ma, Min He, Li-Sha Hou, Shen Xu, Zhi-Xin Huang, Na Zhao, Yan Kang, Ji-Rong Yue, Chenkai Wu

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
2.4field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Sarcopenia and COVID-19 Outcomes.Clinical interventions in aging · 2023
    Review
  10. Article
  11. Article
  12. Screening Tools for Sarcopenia.In vivo (Athens, Greece)
    Review
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

9 authors at 4 institutions in 1 country.

Yao Ma *Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Min He *COVID-19 Medical Assistance Teams (Hubei) of West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Li-Sha HouDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Shen XuCOVID-19 Medical Assistance Teams (Hubei) of West China Hospital, Sichuan University, Chengdu, Sichuan Province, China.
Zhi-Xin HuangDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
Na ZhaoDepartment of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
Yan KangCOVID-19 Medical Assistance Teams (Hubei) of West China Hospital, Sichuan University, Chengdu, Sichuan Province, China. kangyan@scu.edu.cn.
Ji-Rong YueDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China. yuejirong11@hotmail.com.
Chenkai WuGlobal Health Research Center, Duke Kunshan University, Suzhou, Jiangsu Province, China.
Sichuan University · CNRenmin Hospital of Wuhan University · CNDuke Kunshan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the outbreak of COVID-19, it has been documented that old age and underlying illnesses are associated with poor prognosis among COVID-19 patients. However, it is unknown whether sarcopenia, a common geriatric syndrome, is associated with poor prognosis among older COVID-19 patients. The aim of our prospective cohort study is to investigate the association between sarcopenia risk and severe disease among COVID-19 patients aged ≥60 years.

methodA prospective cohort study of 114 hospitalized older patients (≥60 years) with confirmed COVID-19 pneumonia between 7 February, 2020 and 6 April, 2020. Epidemiological, socio-demographic, clinical and laboratory data on admission and outcome data were extracted from electronic medical records. All patients were assessed for sarcopenia on admission using the SARC-F scale and the outcome was the development of the severe disease within 60 days. We used the Cox proportional hazards model to identify the association between sarcopenia and progression of disease defined as severe cases in a total of 2908 person-days.

resultOf 114 patients (mean age 69.52 ± 7.25 years, 50% woman), 38 (33%) had a high risk of sarcopenia while 76 (67%) did not. We found that 43 (38%) patients progressed to severe cases. COVID-19 patients with higher risk sarcopenia were more likely to develop severe disease than those without (68% versus 22%, p < 0.001). After adjustment for demographic and clinical factors, higher risk sarcopenia was associated with a higher hazard of severe condition [hazard ratio = 2.87 (95% CI, 1.33-6.16)].

conclusionWe found that COVID-19 patients with higher sarcopenia risk were more likely to develop severe condition. A clinician-friendly assessment of sarcopenia could help in early warning of older patients at high-risk with severe COVID-19 pneumonia.

Indexed as

COVID-19SarcopeniaAgedFemaleGeriatric AssessmentHumansProportional Hazards ModelsProspective StudiesSARS-CoV-2Surveys and QuestionnairesCOVID-19OlderPrognosisSARC-FSarcopenia

Identifiers

PMID34112103
PMCPMC8190739
OpenAlexW3166263948

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.