Evidence map›Paper›PMID 34347528›Full record

ArticleScience progress

Vitamin D deficiency as a predictor of severity in patients with COVID-19 infection.

Mohammed Abd El Monem Teama, Dina A Abdelhakam, Marwa A Elmohamadi, Fatma Mohammed Badr

Open access · diamondAbstract readComment
In one paragraph

Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  3. Association ofGenes · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Mohammed Abd El Monem TeamaInternal Medicine and Rheumatology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.ORCID 0000-0002-3945-198X
Dina A AbdelhakamClinical Pathology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Marwa A ElmohamadiClinical Pathology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Fatma Mohammed BadrInternal Medicine and Rheumatology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs an immune modulator, vitamin D has been implicated in the coronavirus disease 2019 (COVID-19) severity. This study aimed to investigate the association between vitamin D levels and the severity of COVID-19 infection.

methodsA cross-sectional study, which included 124 patients diagnosed with COVID-19 and were selected from Ain Shams University Hospitals and assigned to two groups; mild and severe COVID-19. All patients underwent detailed history taking, clinical data, and different laboratory investigations as complete blood count, blood urea nitrogen, serum creatinine, liver enzymes, C-reactive protein, D-dimer, ferritin and serum vitamin D concentration. In addition to findings of initial chest computed tomography (CT) were recorded. COVID-19 Reporting and Data System (CO-RADS) and CT chest severity scores (CT SS) were reported.

resultsIn this study of 124 COVID-19-positive individuals, a high prevalence of hypovitaminosis D was found (97.6%). Lower vitamin D levels were significantly associated with more severe COVID-19 cases (

conclusionThe high frequency of hypovitaminosis D in severe COVID-19 patients provides further evidence of a potential link to poor prognosis and severity of the disease, so vitamin D deficiency may be a marker of poor prognosis in these patients.

Indexed as

COVID-19Vitamin D DeficiencyCross-Sectional StudiesHumansSARS-CoV-2Severity of Illness IndexCOVID-19CT chest severity scoredisease severityprognosisvitamin D deficiency

Identifiers

PMID34347528
PMCPMC10450705
OpenAlexW3192469107

What OpenQuestion holds

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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.