Evidence map›Paper›PMID 33133525›Full record

ReviewFood science & nutrition2020

Curcumin (a constituent of turmeric): New treatment option against COVID-19.

Fatemeh Babaei, Marjan Nassiri-Asl, Hossein Hosseinzadeh

Open access · hybridAbstract readReview
In one paragraph

Review in Food science & nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
8.6field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 143 citations in OpenAlex.

  1. Trial
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  11. Turmeric and Curcumin-Health-Promoting Properties in Humans versus Dogs.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Review
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  15. Therapeutic potential of curcumin in ARDS and COVID-19.Clinical and experimental pharmacology & physiology · 2023
    Review
  16. Nanoformulation ofACS omega · 2023
    Article
  17. NASAFYTOLFrontiers in nutrition · 2023
    Article
  18. Review
  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Fatemeh BabaeiDepartment of Clinical Biochemistry School of Medicine, Student Research Committee Shahid Beheshti University of Medical Sciences Tehran Iran.
Marjan Nassiri-AslDepartment of Pharmacology and Neurobiology Research Center School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0003-3701-0758
Hossein HosseinzadehDepartment of Pharmacodynamics and Toxicology School of Pharmacy Mashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0000-0002-3483-851X
Shahid Beheshti University of Medical Sciences · IRMashhad University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In late December 2019, the outbreak of respiratory illness emerged in Wuhan, China, and spreads worldwide. World Health Organization (WHO) named this disease severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused by a new member of beta coronaviruses. Several medications are prescribed to patients, and some clinical trials are underway. Scientists are trying to find a specific drug against this virus. In this review, we summarize the pathogenesis, clinical features, and current treatments of coronavirus disease 2019 (COVID-19). Then, we describe the possible therapeutic effects of curcumin and its molecular mechanism against coronavirus-19. Curcumin, as an active constituent of

Indexed as

antiapoptoticantifatigueantifibroticanti‐inflammatoryantiviralCoronavirus‐19curcumin

Identifiers

PMID33133525
PMCPMC7590269
OpenAlexW3083526080

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.