Evidence map›Paper›PMID 32376587›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2020

[Conducting clinical studies during the epidemics of communicable diseases: perspectives of methodology and health economics].

Mengchun Gong, Li Liu, Chen Wu, Yue Yang, Yang Shen, Jie Li, Kaicheng Lin, Yi Guo, Hongyun Wei, Zeyu Xu and 1 more

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

11 authors.

Mengchun GongInstitute of Health Management, Southern Medical University, Guangzhou 510515, China.
Li LiuNanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Chen WuDigital China Health Technologies Co. Ltd, Beijing 100085, China.
Yue YangDigital China Health Technologies Co. Ltd, Beijing 100085, China.
Yang ShenDigital China Health Technologies Co. Ltd, Beijing 100085, China.
Jie LiDigital China Health Technologies Co. Ltd, Beijing 100085, China.
Kaicheng LinNanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Yi GuoNanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Hongyun WeiNanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Zeyu XuNanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Hong ZhuInstitute of Health Management, Southern Medical University, Guangzhou 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the setting of epidemics of communicable diseases, early initiation of epidemiological and clinical data collection and analysis and conducting relevant researches are essential to the success of epidemic containment. The coronavirus disease 2019 (COVID-19), starting initially as an epidemic in China in late 2019 and now becoming a pandemic globally, poses grave challenges to the global health care systems while also provides an opportunity for studying infectious diseases in the perspective of methodology. The authors propose the evaluation methods for case reports, randomized controlled trials (RCTs), real-world evidence studies and health economics researches during an epidemic. Case reports, which are of important value for health care workers during outbreaks of infectious diseases, should be written in standard format and style and published following a strict peer review process. RCTs provides the gold standard for evaluating the effectiveness of a given treatment for the patients from the outbreaks. We review the potential challenges faced in conducting RCTs during the outbreaks. The real-world data collected from the cases in designated hospitals allow the verification of the safety and effectiveness of the intervention measures. The data from health economics research also provide important support for optimizing communicable disease prevention and control strategies. Herein we summarize the health economics research methods, study design, and technical points during the outbreaks. We recommend that clinical research and health economics research be incorporated into the prevention and control plan and measures be taken to ensure both the standards and feasibility of these studies to improve the response capacity against outbreaks of communicable diseases.

Indexed as

BetacoronavirusCoronavirus InfectionsPandemicsPneumonia, ViralChinaCOVID-19HumansSARS-CoV-2COVID-19epidemicshealth economics and outcome researchrandomized controlled trialsreal-world evidence studies

Identifiers

PMID32376587
PMCPMC7167318

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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.