Evidence map›Paper›PMID 38868379›Full record

ArticleData in brief2024

TLR3, TLR7, and TLR8 genes expression datasets in COVID-19 patients: Influences of the disease severity and gender.

Nasir Arefinia, Parsa Banafi, Mohammad Amin Zarezadeh, Hawra Shah Mousawi, Ramin Yaghobi, Mehrdad Farokhnia, Jamal Sarvari

Abstract read
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Modulation ofFrontiers in immunology · 2025
    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

7 authors.

Nasir ArefiniaDepartment of Bacteriology and Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Parsa BanafiDepartment of Bacteriology and Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Mohammad Amin ZarezadehDepartment of Bacteriology and Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Hawra Shah MousawiDepartment of Bacteriology and Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Ramin YaghobiTransplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mehrdad FarokhniaDepartment of Internal Medicine, Faculty of Medicine, Afzalipour Hospital, Kerman University of Medical School, Kerman, Iran.
Jamal SarvariDepartment of Bacteriology and Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis of COVID-19 could influence by innate immune sensors such as toll-like receptors (TLRs). The purpose of this data was to investigate TLR3, 7, and 8 expression levels in COVID-19 patients and their relationship to outcome of disease. 75 confirm COVID-19 were included sequentially and separated into three groups: mild, severe, and critical. Peripheral blood mononuclear cells were isolated from the whole blood, and RNA was then extracted. The qRT-PCR technique was used to examine the expression of TLR3, TLR7, and TLR8 genes. The patients average ages were 52.69 ± 1.9 and 13 of the 25 individuals in each group were male. TLR3 (

Indexed as

Coronavirus disease 2019Severe acute respiratory syndrome coronavirus 2TLR7TLR8Toll-like receptors 3 (TLR3)

Identifiers

PMID38868379
PMCPMC11166686

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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.