SynthesisFrontiers in medicine2020
Systematic Review and Meta-Analysis of Sex-Specific COVID-19 Clinical Outcomes.
Synthesis in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 9 of them syntheses that pooled it.
What it found
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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
84 citing papers in PubMed, 9 syntheses or guidelines pooled it, 149 citations in OpenAlex.
- Risk Factors Associated with Severity and Death from COVID-19 in Iran: A Systematic Review and Meta-Analysis Study.Journal of intensive care medicine · 2023Pooled it
- Thymosin alpha1 use in adult COVID-19 patients: A systematic review and meta-analysis on clinical outcomes.International immunopharmacology · 2023Pooled it
- Prevalence of hypertension and associated risks in hospitalized patients with COVID-19: a meta-analysis of meta-analyses with 1468 studies and 1,281,510 patients.Systematic reviews · 2022Pooled it
- Recent Advance Analysis of Recovery in Hospitalized People with COVID-19: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- COVID-19 susceptibility and outcomes among patients with neuromyelitis optica spectrum disorder (NMOSD): A systematic review and meta-analysis.Multiple sclerosis and related disorders · 2022Pooled it
- Clinical and laboratory factors associated with coronavirus disease 2019 (Covid-19): A systematic review and meta-analysis.Reviews in medical virology · 2021Pooled it
- Clinical significance of prognostic nutrition index in hospitalized patients with COVID-19: Results from single-center experience with systematic review and meta-analysis.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2021Pooled it
- Meta-analysis of the association between angiotensin pathway inhibitors and COVID-19 severity and mortality.Systematic reviews · 2021Pooled it
- Pooled it
- Genetic, Sociodemographic and Clinical Determinants of COVID-19 Severity in the Republic of Srpska: Exploring Potential Links with Neanderthal-Derived Variants.Biomedicines · 2026Article
- Impact of the COVID-19 pandemic on trends in health conditions associated with alcohol among patients with hypertension in Sweden.Scientific reports · 2025Article
- Biochemical differences based on sex and clusters of biomarkers in patients with COVID-19: analysis from the CARDIO COVID 19-20 registry.BMC cardiovascular disorders · 2025Observational
- Age Differences and Prevalence of Comorbidities for Death and Survival in Patients with COVID-19: A Single-Center Observational Study in a Region of Southern Italy.Life (Basel, Switzerland) · 2024Article
- COVID-19 and stroke in women: impact on clinical, psychosocial and research aspects.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Review
- Clinical profiles and mortality predictors of hospitalized patients with COVID-19 in Ethiopia.BMC infectious diseases · 2024Article
- Article
- A study on the factors influencing the intention to receive booster shots of the COVID-19 vaccine in China based on the information frame effect.Frontiers in public health · 2024Article
- Article
- Sex-Specific Total Testosterone and Dehydroepiandrosterone Sulfate Status in Noncritically Ill Hospitalized Patients with Coronavirus Disease 2019: A Cross-Sectional Study.International journal of fertility & sterility · 2023Article
- Assessing the importance of demographic risk factors across two waves of SARS-CoV-2 using fine-scale case data.PLoS computational biology · 2023Article
24 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To successfully mitigate the extraordinary devastation caused by the Coronavirus disease 2019 (COVID-19) pandemic, it is crucial to identify important risk factors for this disease. One such neglected health determinant is the sex of the patient. This is an essential clinical characteristic, as it can factor into a patient's clinical management and preventative measures. Some clinical studies have shown disparities in the proportion between males and females that have more severe clinical outcomes or, subsequently, die from this disease. However, this association has not been unequivocally established. Thus, the purpose of this investigation was to examine the association between male sex and COVID-19 severity. We systematically reviewed the literature, identified studies that matched predetermined selection criteria, and performed a meta-analysis to evaluate the proportion of males among four disease severity categories. Appropriate assessment strategies were implemented to assess and minimize potential biases. The results of this meta-analysis indicated that males constituted a significantly higher proportion of those who had adverse clinical outcomes and died from COVID-19. As the coronavirus spread from the East to the West, male sex remained a consistent risk factor. Our results support the establishment of the male sex as an important risk factor for this disease. Early identification and appropriate medical care for males with lab-confirmed COVID-19 may substantially change the course of clinical prognosis, resulting in greater numbers of lives saved.
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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.