Evidence map›Paper›PMID 33862554›Full record

ArticleInternational immunopharmacology2021

Individual risk management strategy for SARS-CoV-2 infection: A step toward personalized healthcare.

Torsak Tippairote, Massimiliano Peana, Salvatore Chirumbolo, Geir Bjørklund

Open access · greenAbstract read
In one paragraph

Article in International immunopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. [Systematization of a comprehensive intervention for strengthening the COVID-19 medical care].Revista medica del Instituto Mexicano del Seguro Social · 2022
    Article
  2. 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 4 institutions in 3 countries.

Torsak TippairoteNutritional and Environmental Medicine Department, Healing Passion Medical Center, Bangkok, Thailand.
Massimiliano PeanaDepartment of Chemistry and Pharmacy, University of Sassari, Italy.
Salvatore ChirumboloDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy; CONEM Scientific Secretary, Verona, Italy.
Geir BjørklundCouncil for Nutritional and Environmental Medicine (CONEM), Mo i Rana, Norway. Electronic address: bjorklund@conem.org.
Bangkok Hospital · THThe Research Council of Norway · NOUniversity of Sassari · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lethal or critical COVID-19 occurs most in infected hosts with certain risk factors such as advanced age or pre-existing disease. Host metabolic status significantly affects the clinical presentations of SARS-CoV-2 infection. Individual risk management is thus crucial for preventing severe COVID-19. Such susceptibility is individual, depending on a multitude of factors. Personalized risk assessment requires the inclusive analysis of big health data to stratify individual risk and derive a customized action plan. Personalized medicine requires shifting from the virology aspect per se to the whole individual's consideration, including dietary pattern, nutritional status, supporting lifestyle, co-existing diseases, and environmental factors. In this short communication, we discuss the individual management strategy for SARS-CoV2 infection as a step towards future personalized healthcare.

Indexed as

COVID-19Precision MedicineComorbidityHumansLife StyleNutritional StatusRisk AssessmentRisk FactorsSARS-CoV-2COVID-19ImmunomodulationNutrient deficienciesNutritional supplementationPersonalized medicineSARs-CoV-2

Identifiers

PMID33862554
PMCPMC8015431
OpenAlexW3140184402

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.