Evidence map›Paper›PMID 36476070›Full record

ArticleInternational journal of immunopathology and pharmacology

Predicting roles of IL-27 and IL-32 in determining the severity and outcome of COVID-19.

Batool Zamani, Maedeh Najafizadeh, Hossein Motedayyen, Reza Arefnezhad

Open access · goldAbstract read
In one paragraph

Article in International journal of immunopathology and pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. 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

4 authors at 2 institutions in 1 country.

Batool ZamaniAutoimmune Diseases Research Center, 48462Kashan University of Medical Sciences, Kashan, Iran.
Maedeh NajafizadehInfectious Disease Research Center, Shahid Beheshti Hospital, 48462Kashan University of Medical Sciences, Kashan, Iran.
Hossein MotedayyenAutoimmune Diseases Research Center, 48462Kashan University of Medical Sciences, Kashan, Iran.ORCID 0000-0002-9152-981X
Reza ArefnezhadDepartment of Anatomy, School of Medicine, 48435Shiraz University of Medical Sciences, Shiraz, Iran.
Kashan University of Medical Sciences · IRShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveImmune changes play fundamental roles in the pathogenesis and severity of coronavirus disease 2019 (COVID-19). Previous studies have revealed alterations in immune responses of patients with non-severe and severe COVID-19. Therefore, this study investigated whether interleukin-27 (IL-27) and interleukin-32 (IL-32) levels may be considered as predicting factors for determining the severity and outcome of COVID-19.

methodsThe blood samples were collected from 50 non-severe and severe patients infected with COVID-19 and 25 healthy subjects. The serum samples were isolated from the whole blood. The levels of IL-27 and IL-32 were measured by enzyme-linked immunosorbent assay and percentages of some immune cells were studied by cell counter.

resultsThe levels of IL-27 and IL-32 were significantly higher in COVID-19 patients than healthy subjects (

conclusionChange in IL-27 level along with the frequencies of some immune cells may serve as a predictor of the severity and outcome of COVID-19.

Indexed as

COVID-19Interleukin-27HumansInterleukin-27COVID-19disease outcomedisease severityimmune changesimmune response

Identifiers

PMID36476070
PMCPMC9742516
OpenAlexW4311588903

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.