Evidence map›Paper›PMID 42595776›Full record

SynthesisJournal of human hypertension2026

Prevalence of hypertension in severe vs. non-severe COVID-19: a systematic review and meta-analysis.

Kanwal Khalid, Amr Adel Ahmed Abd El-Aal, Michelle Felicia Lee

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of human hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Kanwal KhalidDepartment of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada. kkhalid2@ualberta.ca.ORCID http://orcid.org/0000-0003-4486-3097
Amr Adel Ahmed Abd El-AalNational Institute of Oceanography & Fisheries, NIOF-Egypt, Cairo, Egypt.
Michelle Felicia LeeInfectious Diseases Translational Research Programme, Department of Microbiology and Immunology, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although numerous studies have investigated the association between hypertension and coronavirus disease 2019 (COVID-19) severity, differences in study characteristics have limited the consistency and generalizability of the available evidence. This systematic review and meta-analysis systematically evaluated the association between hypertension and COVID-19 severity by synthesizing evidence from 30 studies involving 15,549 participants comparing the prevalence of hypertension in non-severe and severe COVID-19 patients. Pooled odds ratios (ORs) were calculated using a random-effects model. Heterogeneity was assessed using I² and τ² statistics, while subgroup analyses and meta-regression examined the effects of region, sample size, study quality, age, and gender. Publication bias was evaluated using funnel plots and Egger's test. Hypertension was more frequently observed in severe COVID-19 cases across the included studies with a pooled odds ratio (OR) of 2.73 (95% CI: 1.85-4.02, p < 0.00001), However, substantial heterogeneity was observed (I² = 88%), limiting the precision of the pooled estimate. Subgroup analysis showed that sample size, NOS scores, and age did not significantly explain heterogeneity, with gender composition also not significantly associated with effect size (β = 0.021, p = 0.38). Funnel plot analysis and Egger's test showed no significant publication bias. Overall, hypertension was associated with an increased likelihood of severe COVID-19, although the high level of heterogeneity suggests that the findings should be interpreted with caution. These findings contribute to the understanding of the association between hypertension and COVID-19 severity and may inform clinical risk stratification and public health decision-making.

Indexed as

COVID-19HypertensionHumansPrevalenceRisk FactorsSeverity of Illness Index

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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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.