Evidence map›Paper›PMID 34620375›Full record

SynthesisClinical nutrition ESPEN2021

Lipid profile as an indicator of COVID-19 severity: A systematic review and meta-analysis.

Roshan Kumar Mahat, Vedika Rathore, Neelima Singh, Nivedita Singh, Sanjeev Kumar Singh, Rakesh Kumar Shah, Chanchal Garg

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical nutrition ESPEN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Aziridination-Enabled Structural and Quantitative Lipidomics.Journal of the American Society for Mass Spectrometry · 2026
    Review
  4. Article
  5. Article
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  7. Article
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  9. Article
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  11. Article
  12. Article
  13. Review
  14. The Bidirectional Association Between Metabolic Syndrome and Long-COVID-19.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

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

7 authors.

Roshan Kumar MahatDepartment of Biochemistry, Pandit Raghunath Murmu Medical College and Hospital, Baripada, Mayurbhanj, Odisha, 757107, India. Electronic address: mahatroshan79@gmail.com.
Vedika RathoreDepartment of Biochemistry, Shyam Shah Medical College, Rewa, Madhya Pradesh, 486001, India. Electronic address: ved_sin26@rediffmail.com.
Neelima SinghUniversity of Kota, Kota, Rajasthan, 324005, India.
Nivedita SinghDepartment of Biochemistry, Gajra Raja Medical College, Gwalior, Madhya Pradesh, 474009, India.
Sanjeev Kumar SinghDepartment of Biochemistry, Gajra Raja Medical College, Gwalior, Madhya Pradesh, 474009, India.
Rakesh Kumar ShahDepartment of Biochemistry, Gajra Raja Medical College, Gwalior, Madhya Pradesh, 474009, India.
Chanchal GargDepartment of Biochemistry, Gajra Raja Medical College, Gwalior, Madhya Pradesh, 474009, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease-2019 (COVID-19) is a global pandemic. Studies reported dyslipidemia in patients with COVID-19. Herein, we conducted a systematic review and meta-analysis of published articles to evaluate the association of the lipid profile with the severity and mortality in COVID-19 patients.

methodsPubMed/Medline, Europe PMC, and Google Scholar were searched for studies published between January 1, 2020 and January 13, 2021. Random or Fixed effects models were used to calculate the mean difference (MD) and 95% confidence intervals (CIs). Statistical heterogeneity was assessed using Cochran's Q test and I

resultsThis meta-analysis included 19 studies. Of which, 12 studies were categorized by severity, 04 studies by mortality, and 03 studies by both severity and mortality. Our findings revealed significantly decreased levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in the severe group when compared with the non-severe group in a random effect model. Similarly, random effect model results demonstrated significantly lower levels of HDL-C and LDL-C in the non-survivor group when compared with the survivor group. The level of TC was also found to be decreased in the non-survivor group when compared to the survivor group in a fixed-effect model.

conclusionIn conclusion, the lipid profile is associated with both the severity and mortality in COVID-19 patients. Hence, the lipid profile may be used for assessing the severity and prognosis of COVID-19. PROSPERO REGISTRATION NUMBER: CRD42021216316.

Indexed as

COVID-19Cholesterol, HDLCholesterol, LDLHumansLipidsSARS-CoV-2Cholesterol, HDLCholesterol, LDLLipidsCOVID-19High-density lipoprotein cholesterolLow-density lipoprotein cholesterolSARS-CoV-2Total cholesterol

Identifiers

PMID34620375
PMCPMC8325550

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.