Evidence map›Paper›PMID 37229298›Full record

ReviewHealth sciences review (Oxford, England)2023

Diabetes and deaths of COVID-19 patients: Systematic review of meta-analyses.

Aakriti Garg, Mahesh Kumar Posa, Anoop Kumar

Open access · goldAbstract readReview
In one paragraph

Review in Health sciences review (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Phage Therapy in Bacterial Pneumonia Models: A Systematic Review and Meta-Analysis.Combinatorial chemistry & high throughput screening · 2025
    Pooled it
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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

3 authors at 3 institutions in 1 country.

Aakriti GargSchool of Pharmaceutical Sciences, Apeejay Stya University, Sohna, Gurugram 122103, India.
Mahesh Kumar PosaSchool of Pharmacy and Technology Management, SVKM'S NMIMS, Polepally SEZ, Jadcherla, Hyderabad, 509301, India.
Anoop KumarDepartment of Pharmacology, Delhi Institute of Pharmaceutical Sciences and Research (DIPSAR), Delhi Pharmaceutical Sciences & Research University (DPSRU) New Delhi 110017, India.
Apeejay Stya University · INDelhi Pharmaceutical Science and Research University · INNarsee Monjee Institute of Management Studies · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 is affecting all kinds of patients including diabetics. This article provides an overview of conducted meta-analyses regarding the effect of diabetes on the deaths of COVID-19 patients. Methodology: The study was conducted as per preferred reporting items for systematic reviews and meta-analysis (PRISMA) statement. Data sources: The relevant meta-analyses were searched on PubMed till April 2021 and data was extracted from 24 relevant meta-analyses. The overall estimate was calculated in terms of odds ratio or relative risk with a 95% confidence interval. Results: A total of 09 meta-analyses showed the association of diabetes with the death of COVID-19 patients and 15 meta-analyses have reported the association of diabetes with other comorbidities in the death of COVID-19 patients. The pooled odds ratio or relative risk has shown a significant association of diabetes alone or its associated comorbidities with deaths of COVID-19 patients. Conclusion: Patients with diabetes and its associated comorbidities need more monitoring if get SARS-Cov-2 infection to reduce deaths.

Indexed as

Covid-19 patientsDiabetesMeta-analysisMortality

Identifiers

PMID37229298
PMCPMC10191721
OpenAlexW4377023654

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.