Evidence map›Paper›PMID 36584552›Full record

ArticleDiabetes & metabolic syndrome2023

Assessment of determining factors for severity of NeoCOVIDiabetes in India: A pan India multicentric retrospective study.

Anuj Maheshwari, Dhruvi Hasnani, Meenakshi Bhattacharya, M Mukhyaprana Prabhu, Divya Saxena, Bidita Khandelwal, C L Nawal, Brij Mohan Makkar, Sajid Ansari, Prahlad Chawla and 7 more

Abstract read
In one paragraph

Article in Diabetes & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

17 authors.

Anuj MaheshwariHind Institute of Medical Sciences, Barabanki, Sri Hari Kamal Diabetes Heart Clinic, Lucknow, Uttar Pradesh, India. Electronic address: dranujm@gmail.com.
Dhruvi HasnaniRudraksha Institute of Medical Sciences, Ahmedabad, Gujarat, India.
Meenakshi BhattacharyaGovernment Medical College, Aurangabad, Maharashtra3, India.
M Mukhyaprana PrabhuKasturba Medical College, Manipal, MAHE (Deemed to be University), Karnataka, India.
Divya SaxenaSaxena Multispeciality Hospital, Sonipat, Haryana, India.
Bidita KhandelwalSikkim Manipal University, Gangtok, Sikkim, India.
C L NawalSMS Medical College, Jaipur, Rajasthan, India.
Brij Mohan MakkarDr Makkar's Diabetes & Obesity Centre, Paschim Vihar, Delhi, India.
Sajid AnsariS.S Heart Care Centre, Lucknow, Uttar Pradesh, India.
Prahlad ChawlaNishkaam Diabetes Care and Research, Ghaziabad, Uttar Pradesh, India.
Prabhat AgrawalCare Hospital, Agra, Uttar Pradesh, India.
Ashish SaxenaDr Saxena Medicentre (A Unit of Diabetes & Heart Centre), Ludhiana, Haryana, India.
Narsingh VermaKing George's Medical University, Lucknow, Uttar Pradesh, India.
Banshi SabooDiacare- Diabetes Care and Hormone Clinic, Ahmedabad, Gujarat, India.
Vipul ChavdaRudraksha Institute of Medical Sciences, Ahmedabad, Gujarat, India.
Uday Pratap SinghMedeva.io, New Delhi, India.
Vanshika AroraMedeva.io, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThere is a bidirectional relationship between COVID-19 and diabetes. The primary objective of this study was to estimate the prevalence of patients newly detected to have diabetes (NDD) who recovered from COVID-19 in India whilst comparing NDD with patients without diabetes (ND) and those who have known to have diabetes (KD) in terms of glycemic status pre- and post-COVID with disease severity. MATERIALS & METHODOLOGY: There were 2212 participants enrolled from 15 sites, with 1630 active participants after the respective execution of selection criteria. Data collection was done using a specialized Case Record Form (CRF). Planned statistical analysis and descriptive statistics were concluded for significance between patient groups on various parameters.

resultThe differences in age between the study groups were statistically significant. The average blood glucose at COVID-19 onset was significantly higher in KD than in NDD. Significantly more proportion of NDD (83%) had been hospitalized for COVID management when compared to KD (45%) and ND (55%). The NDD group received higher doses of steroids than the other two groups. On average, patients in the NDD group who received at least one vaccination (one dose or two doses) had a higher High-Resolution Computed Tomography (HRCT) score. Patients who had not been vaccinated in ND and KD groups experienced a higher HRCT score.

conclusionProspective metabolism studies in post-acute COVID-19 will be required to understand the etiology, prognosis, and treatment opportunities.

Indexed as

COVID-19Diabetes MellitusBlood GlucoseHumansIndiaProspective StudiesRetrospective StudiesBlood Glucose

Identifiers

PMID36584552
PMCPMC9760612

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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.