Evidence map›Paper›PMID 33240216›Full record

ArticleFrontiers in endocrinology2020

A Suggested Role of Human Growth Hormone in Control of the COVID-19 Pandemic.

Mohamed Hamdy Elkarow, Amr Hamdy

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.5field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  4. Effect of Pituitary-Target Gland Axis on RAAS in the Context of COVID-19.International journal of medical sciences · 2025
    Review
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  12. Growth hormone level in COVID-19 patients.Northern clinics of Istanbul · 2022
    Article
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  15. Review
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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

2 authors at 2 institutions in 1 country.

Mohamed Hamdy ElkarowDepartment of General Surgery, Ain Shams University, Cairo, Egypt.
Amr HamdyDepartment of Obstetrics & Gynecology, Shoubra General Hospital, Ministry of Health and Population, Cairo, Egypt.
Ain Shams University · EGMinistry of Health and Population · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covid19 is a worldwide pandemic challenge that started in Wuhan, China and spread to almost all countries on the planet within a few months. The causative virus was found to be highly contagious and, until now, considerably difficult to contain. A look at the epidemiological distribution of the disease over the planet has raised a number of questions whose answers could help us understand the behavior of the virus and consequently leads us to possible means of limitation of its spread or even flattening of the curve of morbidity and mortality. After the third decade of life, there is a progressive decline of growth hormone (GH) secretion by approximately 15% for every decade of adult life. The data from highly affected countries suggest a more aggressive course in the elderly, a double-time affection of males more than females, and the vulnerability of some risk groups of patients. Our observation is that GH deficiency is a common factor in all vulnerable patient groups. We think that there is a need for studying the role of growth hormone in the unique epidemiological pattern of Covid-19 so that it might help in the early detection and management of the high-risk groups as appropriate.

Indexed as

AgingCOVID-19Human Growth HormoneHumansPrevalenceRisk FactorsSARS-CoV-2Human Growth Hormonecoronavirus pandemicCOVID-19epidemiologygrowth hormoneIGF-1immune systemrisk factors

Identifiers

PMID33240216
PMCPMC7680968
OpenAlexW3104817232

What OpenQuestion holds

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LicenceCC BY
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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.