Evidence map›Paper›PMID 35017106›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2022

Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov.

Hanting Wu, Rongchen Dai, Peijie He, Juan Liang, Qiushuang Li, Junchao Yang, Hanti Lu, Qing Guo, Wei Mao, Conghua Ji

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 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. Single-arm clinical trials: design, ethics, principles.BMJ supportive & palliative care · 2024
    Review
  2. Article
  3. Several laboratory variables indicate severity and prognosis of COVID-19.The Journal of international medical research · 2024
    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

10 authors.

Hanting WuSchool of Public Health, Zhejiang Chinese Medical University.
Rongchen DaiSchool of Public Health, Zhejiang Chinese Medical University.
Peijie HeSchool of Public Health, Zhejiang Chinese Medical University.
Juan LiangSchool of Public Health, Zhejiang Chinese Medical University.
Qiushuang LiThe First Affiliated Hospital of Zhejiang Chinese Medical University.
Junchao YangThe First Affiliated Hospital of Zhejiang Chinese Medical University.
Hanti LuThe First Affiliated Hospital of Zhejiang Chinese Medical University.
Qing GuoSchool of Public Health, Zhejiang Chinese Medical University.
Wei MaoThe First Affiliated Hospital of Zhejiang Chinese Medical University.
Conghua JiSchool of Public Health, Zhejiang Chinese Medical University; The First Affiliated Hospital of Zhejiang Chinese Medical University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe novel coronavirus disease (COVID-19) outbreak is currently ravaging populations worldwide. Many studies were registered and conducted in rapid response to the epidemic, but how to choose the proper design for clinical trials remains the main concern. This study aimed to determine the fundamental characteristics of study design during the COVID-19 pandemic and provide references for other emerging infectious diseases.

methodsWe searched the database of ClinicalTrials.gov with the keyword "COVID-19" and compared the results with the design features of other conventional studies except for COVID-19.

resultsFrom January 1, 2020 to September 30, 2021, 55,334 trials were registered at ClinicalTrials.gov. Of all the registered trials, 6,408 were related to COVID-19 (11.58%). There were significant differences in the proportion of observational studies between COVID-19 (43.48%) and others (23.27%). The completion rate of observational trials and interventional trials in COVID-19 was 29.04% and 25.84%, respectively. COVID-19 trials showed a higher rate of completion than others (P<0.01). The time distribution and trend of observational studies and interventional studies varied considerably.

conclusionAppropriately designed trials can help to improve research efficiency and reduce the possibility of research failure. In addition to randomized controlled trials, observational and single-armed studies are also worth considering.

Indexed as

Clinical Trials as TopicCOVID-19PandemicsDatabases, FactualHumansResearch DesignSARS-CoV-2Clinical trialsCOVID-19Emerging infectious diseasesTrial characteristicsTrial registration

Identifiers

PMID35017106
PMCPMC8743275

What OpenQuestion holds

Textmetadata
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.