Evidence map›Paper›PMID 32362005›Full record

ArticleBiotechnology and applied biochemistry2021

Correspondence: Importance of the validated serum biochemistry and hemogram parameters for rapid diagnosis and to prevent false negative results during COVID-19 pandemic.

Duygu Aydemir, Nuriye Nuray Ulusu

Open access · bronzeAbstract readEditorial
In one paragraph

Article in Biotechnology and applied biochemistry, 2021. 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
1.1field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. People with blood disorders can be more vulnerable during COVID-19 pandemic: A hypothesis paper.Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2021
    Review
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

2 authors at 1 institution in 1 country.

Duygu AydemirSchool of Medicine, Koç University, Istanbul, Turkey.
Nuriye Nuray UlusuSchool of Medicine, Koç University, Istanbul, Turkey.
Koç University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 threatens millions of lives, especially elderly population and people with chronic diseases including diabetes, hypertension, cancer, and cardiovascular diseases. Rapid and effective diagnoses are vital for the isolation of infected people and starting treatment immediately to stop the spread of COVID-19 virus. Bioinformatics techniques such as artificial intelligence should be used for collecting the hemogram and serum biochemistry data of all COVID-19- infected people worldwide, even they do not show severe symptoms. These data may help find a biomarker that can be used in combination with the CT results for rapid and accurate diagnosis of COVID-19.

Indexed as

COVID-19 TestingArtificial IntelligenceBiomarkersCOVID-19HumansSARS-CoV-2Time FactorsBiomarkersartificial intelligencebioinformaticsCOVID-19hemogrampandemicserum biochemical parameters

Identifiers

PMID32362005
PMCPMC7267458
OpenAlexW3023881690

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.