Evidence map›Paper›PMID 35571158›Full record

ArticleFrontiers in cardiovascular medicine2022

ECG Utilization Patterns of Patients With Arrhythmias During COVID-19 Epidemic and Post-SARS-CoV-2 Eras in Shanghai, China.

Cheng Li, Mu Chen, Mohan Li, Haicheng Wang, Xiangjun Qiu, Xiaoliang Hu, Qunshan Wang, Jian Sun, Mei Yang, Yuling Zhu and 10 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. 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

20 authors.

Cheng LiDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Mu ChenDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Mohan LiDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Haicheng WangDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiangjun QiuShanghai Siwei Medical Co. Ltd., Shanghai, China.
Xiaoliang HuDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Qunshan WangDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jian SunDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Mei YangDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yuling ZhuMedical Information Telemonitoring Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Peng LiaoSchool of Public Health, Fudan University, Shanghai, China.
Baohong ZhouShanghai Siwei Medical Co. Ltd., Shanghai, China.
Min ChenShanghai Siwei Medical Co. Ltd., Shanghai, China.
Xia LiuMedical Information Telemonitoring Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yuelin ZhaoMedical Information Telemonitoring Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Mingzhen ShenMedical Information Telemonitoring Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jinkang HuangMedical Information Telemonitoring Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Li LuoSchool of Public Health, Fudan University, Shanghai, China.
Hong WuShanghai Health Commission, Shanghai, China.
Yi-Gang LiDepartment of Cardiology, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has led to concerns around its subsequent impact on global health. Objective: To investigate the health-seeking behavior, reflected by ECG utilization patterns, of patients with non-COVID-19 diseases during and after COVID-19 epidemic. Methods: Taking advantage of the remote ECG system covering 278 medical institutions throughout Shanghai, the numbers of medical visits with ECG examinations during the lockdown (between January 23 and April 7, 2020), post-lockdown (between April 8 and December 31, 2020) and post-SARS-CoV-2 (between January 23 and April 7, 2021) periods were analyzed and compared against those during the same periods of the preceding years (2018 and 2019). Results: Compared with the same period during pre-COVID years, the number of medical visits decreased during the lockdown (a 38% reduction), followed by a rebound post-lockdown (a 17% increase) and a fall to the baseline level in post-SARS-CoV-2 period. The number of new COVID-19 cases announced on a given day significantly correlated negatively with the numbers of medical visits during the following 7 days. Medical visit dynamics differed for various arrhythmias. Whereas medical visits for sinus bradycardia exhibited a typical decrease-rebound-fallback pattern, medical visits for atrial fibrillation did not fall during the lockdown but did exhibit a subsequent increase during the post-lockdown period. By comparison, the volume for ventricular tachycardia remained constant throughout this entire period. Conclusion: The ECG utilization patterns of patients with arrhythmias exhibited a decrease-rebound-fallback pattern following the COVID-19 lockdowns. Medical visits for diseases with more severe symptoms were less influenced by the lockdowns, showing a resilient demand for healthcare.

Indexed as

arrhythmiasatrial fibrillationCOVID-19epidemichealth-seeking behavior

Identifiers

PMID35571158
PMCPMC9091729

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.