Evidence map›Paper›PMID 33178771›Full record

ArticleAnnals of translational medicine2020

The impact of new modes of electronic communication in the treatment of severe acute respiratory syndrome coronavirus 2 infection.

Zhaoxiong Fang, Zhiqiang Gu, Tian Zhang, Junjie Lei, Lu Lin, Zhixiang Yan, Keke Feng, Mengsha Xie, Shuanshuan Guo, Zhigang Liu and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 2 institutions in 1 country.

Zhaoxiong FangDepartment of Gastroenterology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Zhiqiang GuDepartment of Gastroenterology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Tian ZhangDepartment of Oncology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Junjie LeiDepartment of Neurology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Lu LinDepartment of Gastroenterology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Zhixiang YanGuangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Keke FengDepartment of Rehabilitation Medicine, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Mengsha XieDepartment of Gerontology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Shuanshuan GuoDepartment of Oncology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Zhigang LiuDepartment of Oncology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Zhongsi HongDepartment of Infectious Disease, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Xiaofeng LiDepartment of Gastroenterology, the Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China.
Sun Yat-sen University · CNFifth Affiliated Hospital of Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than 26,760,000 cases of SARS-CoV-2 infection have been reported globally to date. This study aimed to analyze the impact of new electronic communication tools in the diagnosis and treatment of patients with SARS-CoV-2 infection.

methodsFrom January 20 to February 26, 2020, adult patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection who were treated in The Fifth Affiliated Hospital, Sun Yat-sen University, in Zhuhai, China, were recruited. Forty-seven eligible patients were enrolled and randomly classified into either the test group or the control group. All of the patients received the standard therapeutic regimen and routine ward rounds. The test group was subdivided into three subgroups: the first subgroup (5-minute group) was given an extra 5-minute ward round by WeChat voice call once daily for basic disease communication; the second subgroup (10-minute group) received an extra 10-minute ward round by WeChat voice call once daily for further detail; and the third subgroup (20-minute group) was given an extra 10-minute ward round via WeChat voice call once daily, as well as an extra 10 minutes every 3 days. The primary outcome was the duration of positive-to-negative conversion of SARS-CoV-2 nucleic acid diagnosed by the NAT (nucleic acid testing).

resultsIn the test groups, the median time from diagnosis to the endpoint was 7.0 days [interquartile range (IQR), 3.8-10.8], compared with 10.0 days (IQR, 6.5-14.5) in the control group. It showed significant reduced the duration time of virus from positive to negative by the NAT (nucleic acid testing), (P=0.032) especially between the 10-minute subgroup (3.0 days; IQR, 3.0-7.5) and the control group (P=0.0065).

conclusionsThe use of new modes of electronic communication can benefit patients during the COVID-19 pandemic and could be extremely valuable in addressing the shortage of medical protective equipment and reducing occupational risk of exposure to infection.

Indexed as

Coronavirus disease 2019 (COVID-19)electronic communication toolphysician-patient communicationsevere acute respiratory syndrome coronavirus 2 infection (SARS-CoV-2 infection)therapy

Identifiers

PMID33178771
PMCPMC7607116
OpenAlexW3093258608

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.