SynthesisThe American journal of emergency medicine2022
Significant association between anemia and higher risk for COVID-19 mortality: A meta-analysis of adjusted effect estimates.
Synthesis in The American journal of emergency medicine, 2022. 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.
- Influencing factors comparing different vault groups after phakic implantable collamer lens implantation: review and meta-analysis.BMC ophthalmology · 2024Pooled it
- Association of Previous COVID-19 Infection and Preoperative Haemoglobin with Transfusion Burden and Early Postoperative Outcomes Following Cardiac Surgery with Cardiopulmonary Bypass.Journal of clinical medicine · 2026Article
- Kidney involvement and anemia in COVID-19 infection.World journal of nephrology · 2025Review
- Health risk assessment for severe COVID-19 in Taiwan: a multi-centre electronic health record study.Journal of global health · 2025Article
- COVID-19: The Development and Validation of a New Mortality Risk Score.Journal of clinical medicine · 2024Article
- COVID-19 and pulmonary Tubercuiosis coinfection: three case reports from Iran.The Indian journal of tuberculosis · 2023Article
- A Meta-Analysis on the Association between Peptic Ulcer Disease and COVID-19 Severity.Vaccines · 2023Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to evaluate whether there was a significant relationship between anemia and the risk for mortality among coronavirus disease 2019 (COVID-19) patients by a quantitative meta-analysis based on the adjusted effect estimates.
methodsA systematic search was conducted in electronic databases to identify all published literature. A random-effects meta-analysis model was used to estimate the pooled effect size and 95% confidence interval (CI). Heterogeneity test, Begg's test, subgroup analysis and meta-regression were performed.
resultsTwenty-three articles with 573,928 COVID-19 patients were included in the quantitative meta-analysis. There was a significant association between anemia and an elevated risk of COVID-19 mortality (pooled effect size = 1.47, 95% CI [1.30-1.67]). We observed this significant association in the further subgroup analyses by age, proportion of males, sample size, study design, region and setting. Sensitivity analysis exhibited that our results were reliable. Begg's test showed that there was no publication bias. Meta-regression indicated that the tested variables might not be the source of heterogeneity.
conclusionOur meta-analysis based on risk factors-adjusted effect estimates indicated that anemia was independently associated with a significantly elevated risk for mortality among COVID-19 patients.
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.