Evidence map›Paper›PMID 33002780›Full record

ReviewDiabetes & metabolic syndrome

Infections and diabetes: Risks and mitigation with reference to India.

Ranjit Unnikrishnan, Anoop Misra

Open access · greenAbstract readReview
In one paragraph

Review in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
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  9. Risk Based Decision Algorithms for Management of COVID-19 Associated Rhino-orbital Mucormycosis.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2022
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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

2 authors at 2 institutions in 1 country.

Ranjit UnnikrishnanDr Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India. Electronic address: drranjit@drmohans.com.
Anoop MisraNational Diabetes, Obesity and Cholesterol Foundation (N-DOC), Diabetes Foundation (India), New Delhi, India; Fortis C-DOC Center for Excellence for Diabetes, Metabolic Diseases and Endocrinology, New Delhi, India.
Dr. Mohan's Diabetes Specialities Centre · INNational Diabetes Obesity and Cholesterol Foundation · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe link between diabetes and increased risk of infectious disease has long been recognized, but has re-entered sharp focus following the COVID-19 pandemic.

methodsA literature search was conducted in PubMed for articles in English on diabetes and infection.

resultsDiabetes predisposes to infections through alterations in innate and acquired immune defenses. Outcomes of infection are worse in people with uncontrolled diabetes, and infection can worsen hyperglycemia in hitherto well controlled diabetes (bidirectional relationship). Diabetes does not increase the risk of infection with COVID-19 per se, but predisposes to severe disease and poor outcomes. COVID-19 has also been linked to deterioration of glycemic control as well as new-onset diabetes.

conclusionsClinicians caring for people with diabetes should be aware of the increased risk of infections in this population, as well as the possibility of worsening hyperglycemia. A holistic approach with frequent monitoring of blood glucose levels and appropriate titration of medications, along with close attention to nutritional status, is essential to ensure the best possible outcomes.

Indexed as

Adaptive ImmunityBlood GlucoseCOVID-19Diabetes MellitusGlycemic ControlHumansImmunity, InnateIndiaInfectionsReproductive Tract InfectionsRespiratory Tract InfectionsRisk FactorsSARS-CoV-2Severity of Illness IndexSkin Diseases, BacterialSoft Tissue InfectionsBlood GlucoseCOVID-19DiabetesHyperglycemiaInfectionTuberculosisVaccination

Identifiers

PMID33002780
PMCPMC7505871
OpenAlexW3087760055

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.