Evidence map›Paper›PMID 34412000›Full record

ArticleDiabetes & metabolic syndrome

Detrimental effect of diabetes and hypertension on the severity and mortality of COVID-19 infection: A multi-center case-control study from India.

Sneha Kumar Jayaswal, Shalendra Singh, Prabhat Singh Malik, Sri Krishna Venigalla, Pallavi Gupta, Shreyas N Samaga, Rabi Narayan Hota, Surinder Singh Bhatia, Ishaan Gupta

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. The Impact of Vaccination on COVID-19 Outcomes in Vietnam.Diagnostics (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. The Comparison of Clinical Epidemiology of Hospitalized Patients with COVID-19 during the Third and Fourth Waves of the Pandemic in Gorgan.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  13. Article
  14. Article
  15. 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 5 institutions in 1 country.

Sneha Kumar JayaswalDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India. Electronic address: drsnehakj@gmail.com.
Shalendra SinghDepartment of Anesthesiology and Critical Care, Armed Forces Medical College, Pune, 411040, Maharashtra, India. Electronic address: drsinghafmc@gmail.com.
Prabhat Singh MalikDepartment of Medical Oncology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 10029, India. Electronic address: drprabhatsm@gmail.com.
Sri Krishna VenigallaDepartment of Anesthesiology and Critical Care, Armed Forces Medical College, Pune, 411040, Maharashtra, India. Electronic address: srikrishna9@gmail.com.
Pallavi GuptaDepartment of Biological Sciences, Indian Institute of Science Education and Research, Bhopal, Bhauri, Madhya Pradesh, 462066, India. Electronic address: pgupta3005@gmail.com.
Shreyas N SamagaDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India. Electronic address: samagashreyas@gmail.com.
Rabi Narayan HotaDepartment of Anesthesiology and Critical Care, Armed Forces Medical College, Pune, 411040, Maharashtra, India. Electronic address: rabi072027@gmail.com.
Surinder Singh BhatiaDGAFMS Office, Ministry of Defence, New Delhi, 110010, India. Electronic address: Bhatia_sssss@yahoo.co.in.
Ishaan GuptaDepartment of Biochemical Engineering and Biotechnology, Indian Institute of Technology, Hauz Khas, New Delhi, 110016, India. Electronic address: ishaan@iitd.ac.in.
Armed Forces Medical College · INIndian Institute of Technology Delhi · INAll India Institute of Medical Sciences · INIndian Institute of Science Education and Research, Bhopal · INMinistry of Defence · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aims to find a quantitative association between the presence of co-existing diabetes mellitus (DM) and/or hypertension (HTN) with COVID-19 infection severity and mortality.

methodsA total of 813 patients with a positive COVID-19 were included. A case-control design was used to dissect the association between DM and HTN with COVID-19 severity and mortality.

resultsAccording to MOHFW guidelines, 535 (65.7%) patients had mild, 160 (19.7%) patients had moderate, and 118 (14.5%) patients had severe disease outcomes including mortality in 52 patients. Age, Neutrophil%, and Diabetes status were significantly associated with severe COVID-19 infection. After adjusting for age, patients with diabetes were 2.46 times more likely to have severe disease (Chi-squared = 18.89, p-value<0.0001) and 2.11 times more likely to have a fatal outcome (Chi-squared = 6.04, p-value = 0.014). However, we did not find evidence for Hypertension modifying the COVID-19 outcomes in Diabetic patients.

conclusionCOVID-19 severity and mortality both were significantly associated with the status of DM and its risk may not be modified by the presence of HTN.

Indexed as

AdolescentAdultAgedAged, 80 and overCase-Control StudiesChildChild, PreschoolComorbidityCOVID-19Diabetes MellitusFemaleHumansHypertensionIndiaMaleMiddle AgedCo-morbiditiesCOVID-19Diabetes mellitusHypertensionMortalitySeverity

Identifiers

PMID34412000
PMCPMC8364674
OpenAlexW3194695897

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.