Evidence map›Paper›PMID 42338872›Full record

ArticleCureus2026

Association Between Serum Ferritin and Disease Severity in COVID-19 Patients in Bangladesh: A Cross-Sectional Study.

Nafiza Afroz, Shahadat H Polash, Manas Mazumder, Jannatun Naim, Md Abdul Hamed Jasham, Akm Akhtaruzzaman

Abstract read
In one paragraph

Article in Cureus, 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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1 · What the graph read from 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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Nafiza AfrozAnesthesia, Intensive Care and Pain Medicine, National Institute of Burn and Plastic Surgery, Dhaka, BGD.
Shahadat H PolashCritical Care Medicine, Dhaka Medical College Hospital, Dhaka, BGD.
Manas MazumderAnalgesia and Intensive Care Medicine, Bangladesh Medical University, Dhaka, BGD.
Jannatun NaimCritical Care Medicine, Directorate General of Health Services, Dhaka, BGD.
Md Abdul Hamed JashamCritical Care Medicine, Continental Hospitals, Dhaka, BGD.
Akm AkhtaruzzamanAnesthesia, Analgesia and Intensive Care Medicine, Bangladesh Medical University, Dhaka, BGD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Coronavirus disease 2019 (COVID-19) has a wide spectrum of severity, and early identification of high-risk patients remains a major clinical challenge, particularly in resource-limited settings. Serum ferritin, an acute-phase reactant, has been proposed as a potential biomarker of disease severity. This study aimed to evaluate the association between serum ferritin levels and COVID-19 disease severity and to assess its diagnostic performance as a biomarker for identifying severe-to-critical cases among COVID-19 patients in Bangladesh. Methods This hospital-based cross-sectional study was conducted between May and December 2021 at Bangabandhu Sheikh Mujib Medical University. A total of 46 reverse transcription polymerase chain reaction (RT-PCR)-confirmed adult COVID-19 patients were included via consecutive sampling, with equal distribution between the mild-to-moderate and severe-to-critical groups. Clinical data and laboratory parameters, including serum ferritin, were recorded at admission. Statistical analysis was performed via SPSS version 26. Group comparisons, logistic regression, and receiver operating characteristic (ROC) curve analyses were conducted. Results The mean age of the participants was 53.35 ± 15.9 years, and 23 (50%) participants were in each severity group. Serum ferritin remained significantly associated with disease severity in both the unadjusted (OR = 1.3, 95% CI: 1.03-1.33, p = 0.015) and age-adjusted (OR = 1.1, 95% CI: 1.01-1.23, p = 0.018) models. Neutrophilia, lymphopenia, and elevated D-dimer and C-reactive protein (CRP) levels were also significantly associated with severe disease (p < 0.001). ROC analysis revealed an area under the curve (AUC) of 0.76, with a cutoff value of 752 ng/mL, yielding 69.6% sensitivity and 73.9% specificity (p = 0.003). Conclusion Serum ferritin is significantly associated with COVID-19 severity and may be a useful, low-cost biomarker for identifying severe disease. It may serve as a potential indicator for clinical assessment. However, further large-scale multicenter studies are needed to validate its prognostic utility.

Indexed as

bangladeshbiomarkercovid-19disease severityroc analysisserum ferritin

Identifiers

PMID42338872
PMCPMC13284513

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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.