Evidence map›Paper›PMID 36895058›Full record

ReviewJournal of pharmaceutical policy and practice2023

COVID-19 and diabetes in 2020: a systematic review.

Farideh A Javid, Fadi Abdul Waheed, Nisa Zainab, Hamza Khan, Ibrahim Amin, Ammar Bham, Mohammed Ghoghawala, Aneem Sheraz, Radi Haloub

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical policy and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

9 authors.

Farideh A JavidDepartment of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK. fajavid@hud.ac.uk.
Fadi Abdul WaheedDepartment of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Nisa ZainabDepartment of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Hamza KhanDepartment of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Ibrahim AminDepartment of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Ammar BhamDepartment of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Mohammed GhoghawalaDepartment of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Aneem SherazDepartment of Pharmacy, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Radi HaloubBiotech and Pharmaceutical Management, Global Business School for Health (GBSH), University College London (UCL), London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Attempts were made to review the literature on diabetic patients who experience complications when they contract COVID-19, and to determine whether ethnicity and other risk factors play an important role in the development of symptoms and their severity, as well as responding to medications. A literature search was performed using five keywords, namely COVID-19, diabetes, ethnicity, medications, and risk factors between January 2019 and December 2020 using electronic databases such as PubMed, Science Direct, Google Scholar, Springer Link, and Scopus. Forty studies were included. The review indicated that diabetes was a significant risk factor for poorer outcomes and increased mortality associated with COVID-19. There were several risk factors for diabetic patients that increased their likelihood of poorer outcomes associated with COVID-19. These included black and Asian ethnicity, male sex with high BMI. In conclusion, patients with diabetes of black or Asian origin with high BMI, male sex, and older age had an increased risk of poorer outcomes associated with COVID-19. This highlights the importance of considering the history of the patient in prioritising care and treatment.

Indexed as

COVID-19DiabetesEthnicityRisk factors

Identifiers

PMID36895058
PMCPMC9998019

What OpenQuestion holds

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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 OpenQuestion graph.