ReviewPhysiological research2021
Androgens in SARS-CoV-2 coronavirus infections.
Review in Physiological research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Age-Dependent Relationships Between Disease Risk and Testosterone Levels: Relevance to COVID-19 Disease.American journal of men's healthPooled it
- Endocrine complications of COVID-19: diabetes, musculoskeletal, thyroid, pituitary, adrenal, and gonadal disorders.Journal of the Endocrine Society · 2026Review
- Sex Differences in Immune Responses to Infectious Diseases: The Role of Genetics, Hormones, and Aging.Diseases (Basel, Switzerland) · 2025Review
- Sex differences in COVID-19 symptom severity and trajectories among ambulatory adults.Influenza and other respiratory viruses · 2023Article
- Review
- Antiviral activity of amiodarone in SARS-CoV-2 disease.Physiological research · 2022Article
- COVID-19, oxidative stress, and male reproductive dysfunctions: is vitamin C a potential remedy?Physiological research · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent molecular biology findings have shown that for the penetration of the SARS-CoV-2 coronavirus into host cells, a key role is played by protease serine 2, the activity of which is dependent on androgens. The important role of androgens is also evidenced by clinical observations that men in some age categories are infected by this novel coronavirus up to two times more frequently than women. In addition, men with androgenic alopecia tend to have more serious clinical courses, while men with androgen deprivation as a result of prostate cancer treatments tend to have milder courses. This is in line with the fact that preadolescent children are only rarely sickened with serious forms of SARS-CoV-2 infections. Even though these observations may be explained by other factors, many authors have hypothesized that lowered androgen levels and blocking their activity using anti-androgen medication may moderate the course of the viral infection in intermediately- to critically-affected cases. Clearly, it would be important for androgen deprivation to block not just gonadal androgens, but also adrenal androgens. On the other hand, low androgen levels are considered to be a risk factor for the course of SARS-CoV-2 infections, either because low androgen levels have a general effect on anabolic-catabolic equilibrium and energy metabolism, or because of the ability of testosterone to modify the immune system. It is not yet clear if infection with this novel coronavirus might induce hypogonadism, leading to undesirable side effects on male fertility.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.