Evidence map›Paper›PMID 33052260›Full record

ArticleNew microbes and new infections2020

Challenges and accurate estimates of mortality and case-fatality rates due to COVID-19.

H Azizi, E D Esmaeili, A Fakhari

Abstract read
In one paragraph

Article in New microbes and new infections, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

3 authors.

H AziziDepartment of Epidemiology and Biostatistics, School of Health, Tehran University of Medical Sciences, Tehran, Iran.
E D EsmaeiliResearch Center of Psychiatry and Behavior Sciences, Tabriz University of Medical Sciences, Tabriz Iran.
A FakhariResearch Center of Psychiatry and Behavior Sciences, Tabriz University of Medical Sciences, Tabriz Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many reasons restrict obtaining an accurate estimate of Case Fatality Rate (CFR) and Mortality Rate (MR) by COVID-19. The main concern is the number of infected people and deaths. We aimed to discuss some solutions for accurate estimating of CFR and MR.

Indexed as

Case-fatality rateCOVID-19excess deathmortality ratesurveillance

Identifiers

PMID33052260
PMCPMC7543775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.