Evidence map›Paper›PMID 33525250›Full record

ArticleActa bio-medica : Atenei Parmensis2020

Two Weeks of "COVID-19" Search on PubMed.gov.

Antonio Liu

Abstract readLetterComment
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Comparative genomics, evolutionary epidemiology, and RBD-hACE2 receptor binding pattern in B.1.1.7 (Alpha) and B.1.617.2 (Delta) related to their pandemic response in UK and India.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2022
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Antonio LiuDepartment of Neurology, Adventist Health White Memorial, Los Angeles, USA. anthonyseanliu@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimLetter to Editor, report the amount of literature generated over two weeks on PubMed.gov related to COVID-19 Methods: reporting the daily number of "hits" from "COVID-19" search on PubMed.gov Results: There were 66988 entries on PubMed.gov on the search word "COVID-19" on October 24, 2020. The average daily increase in number of entries was 335.

conclusionspoint out the fact that the literature volume is increasing in an exponential manner (www.actabiomedica.it).

Indexed as

COVID-19HumansPublishingPubMedResearch ReportSARS-CoV-2

Identifiers

PMID33525250
PMCPMC7927537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.