Evidence map›Paper›PMID 33195370›Full record

ReviewFrontiers in nutrition2020

Clinical Impact Potential of Supplemental Nutrients as Adjuncts of Therapy in High-Risk COVID-19 for Obese Patients.

Emre Sahin, Cemal Orhan, Fatih M Uckun, Kazim Sahin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. COVID, the Gut, and Nutritional Implications.Current surgery reports · 2023
    Review
  2. Article
  3. Article
  4. Role of Nutrition and Diet during COVID-19 pandemic: A narrative review.Journal of family medicine and primary care · 2022
    Review
  5. Article
  6. Review
  7. The Role of Selenium in Pathologies: An Updated Review.Antioxidants (Basel, Switzerland) · 2022
    Review
  8. Review
  9. Review
  10. Review
  11. The Role of Micronutrients to Support Immunity for COVID-19 Prevention.Revista brasileira de farmacognosia : orgao oficial da Sociedade Brasileira de Farmacognosia · 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

4 authors at 1 institution in 1 country.

Emre SahinDepartment of Nutrition, School of Veterinary Medicine, Firat University, Elazig, Turkey.
Cemal OrhanDepartment of Nutrition, School of Veterinary Medicine, Firat University, Elazig, Turkey.
Fatih M UckunCOVID-19 Task Force, Reven Pharmaceuticals, Golden, CO, United States.
Kazim SahinDepartment of Nutrition, School of Veterinary Medicine, Firat University, Elazig, Turkey.
Fırat University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) in China at the end of 2019 caused a major global pandemic and continues to be an unresolved global health crisis. The supportive care interventions for reducing the severity of symptoms along with participation in clinical trials of investigational treatments are the mainstay of COVID-19 management because there is no effective standard therapy for COVID-19. The comorbidity of COVID-19 rises in obese patients. Micronutrients may boost the host immunity against viral infections, including COVID-19. In this review, we discuss the clinical impact potential of supplemental nutrients as adjuncts of therapy in high-risk COVID-19 for obese patients.

Indexed as

cytokinesinflammationmicronutrientsnutritionSARS-CoV-2

Identifiers

PMID33195370
PMCPMC7642511
OpenAlexW3094322699

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.