Evidence map›Paper›PMID 36420090›Full record

ArticleJournal of diabetes research2022

New Onset of Diabetes Mellitus and Associated Factors among COVID-19 Patients in COVID-19 Care Centers, Addis Ababa, Ethiopia 2022.

Asaminew Habtamu Sane, Migbar Sibhat Mekonnen, Melsew Getnet Tsegaw, Wuletaw Chane Zewde, Edmialem Getahun Mesfin, Hailu Asmare Beyene, Taye Mezgebu Ashine, Kasie Gebeyehu Tiruneh, Melkie Ambaw Mengistie

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Post-COVID-19 Condition and Pulmonary Embolism.Journal of multidisciplinary healthcare · 2024
    Article
  7. Article
  8. 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 at 6 institutions in 1 country.

Asaminew Habtamu SaneSchool of Nursing, Institute of Health Science, Jimma University, Jimma, Ethiopia.ORCID https://orcid.org/0000-0002-6380-3375
Migbar Sibhat MekonnenDepartment of Nursing, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.ORCID https://orcid.org/0000-0002-1240-8551
Melsew Getnet TsegawMillennium COVID-19 Care Center, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Wuletaw Chane ZewdeMillennium COVID-19 Care Center, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Edmialem Getahun MesfinMillennium COVID-19 Care Center, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Hailu Asmare BeyeneSchool of Nursing, College of Health Science and Medicine, Wolaita Sodo University, Sodo, Ethiopia.
Taye Mezgebu AshineSchools of Nursing, College of Health Science and Medicine, Wachemo University, Hosaena, Ethiopia.
Kasie Gebeyehu TirunehDepartment of Nursing, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.
Melkie Ambaw MengistieDepartment of Nursing, Arba Minch College of Health Sciences, Arba Minch, Ethiopia.
St. Paul's Hospital Millennium Medical College · ETDilla University · ETArba Minch University · ETJimma University · ETWachemo UniversityWolaita Sodo University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: New onset of diabetes mellitus was noted as the commonest comorbidity in the COVID-19 pandemic, which contributed to a worse prognosis. Existing evidence showed that new-onset diabetes is associated with increased mortality compared to nondiabetic and known diabetic patients in the COVID-19 era. SARS-CoV-2 virus can worsen existing diabetes; at the same time, it can trigger new-onset diabetes that eventually worsens patient outcomes. Thus, this study is aimed at determining the prevalence and factors associated with new onset of diabetes mellitus among COVID-19 patients. Methods: Institution-based retrospective cross-sectional study design was conducted by reviewing 244 patient's records in the Addis Ababa COVID-19 care center. Descriptive statistics and binary logistic regression were used. During bivariate analysis, variables with Results: The mean age of the study participants was 53.2 years with (SD = 13.35). The study findings showed that 31.1% (CI: 25.4-37.4) of COVID-19 patients had new onset of diabetes mellitus; of those, 11.8% had type 1 and 88.2% had type 2 diabetes. Being male (aOR = 2.9; 95% CI: 1.2, 7.1), family history of hypertension (aOR = 3.7; 95% CI: 1.3, 10.5), obesity (aOR = 3.1; 95% CI: 1.01, 8.9), having pulmonary embolism (aOR = 0.2; 95% CI: 0.06, 0.04), and hyperkalemia (aOR = 9.3; 95% CI: 1.8, 47.3) showed statistically significant association with new onset of diabetes mellitus. Conclusion: A significant proportion of COVID-19 patients had been diagnosed with new onset of diabetes mellitus, and new-onset type 2 diabetes mellitus is the most common diabetes mellitus type. Being male, obesity, having a pulmonary embolism, family history of hypertension, and hyperkalemia were independently associated with new onset of diabetes mellitus among COVID-19 patients. Therefore, focused interventions need to be strengthened towards the identified factors.

Indexed as

COVID-19Diabetes Mellitus, Type 2HyperkalemiaHypertensionPulmonary EmbolismCross-Sectional StudiesEthiopiaFemaleHumansMaleMiddle AgedObesityPandemicsRetrospective StudiesRisk FactorsSARS-CoV-2

Identifiers

PMID36420090
PMCPMC9678479
OpenAlexW4309073119

What OpenQuestion holds

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LicenceCC BY
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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.