Evidence map›Paper›PMID 38910828›Full record

ArticleProceedings (Baylor University. Medical Center)2024

Pandemic effect on national hospitalizations for acute hyperglycemic complications.

Hafeez Shaka, Ayodeji Ilelaboye, Abdultawab Shaka, Ellil Krishnaraju, Katayoun Khoshbin, Mohankumar Doraiswamy, Naveen Baskaran, Benjamin Mba

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The impact of the COVID-19 pandemic on diabetes.Proceedings (Baylor University. Medical Center) · 2024
    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

8 authors.

Hafeez ShakaDepartment of Medicine, John H. Storger Jr. Hospital of Cook County, Chicago, Illinois, USA.
Ayodeji IlelaboyeDepartment of Medicine, Lagos University Teaching Hospital, Lagos, Nigeria.ORCID https://orcid.org/0000-0003-4115-2820
Abdultawab ShakaDepartment of Medicine, Windsor University School of Medicine, Saint Kitts and Nevis.
Ellil KrishnarajuDepartment of Medicine, John H. Storger Jr. Hospital of Cook County, Chicago, Illinois, USA.
Katayoun KhoshbinDepartment of Medicine, John H. Storger Jr. Hospital of Cook County, Chicago, Illinois, USA.
Mohankumar DoraiswamyDepartment of Critical Care, Mercy Hospital, Rogers, Arkansas, USA.
Naveen BaskaranDepartment of Hospital Medicine, University of Florida, Gainesville, Florida, USA.
Benjamin MbaDepartment of Medicine, Yale School of Medicine, New Haven, Connecticut, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to describe the effect of the pandemic on epidemiologic trends and disparities in outcomes for patients hospitalized with acute hyperglycemic complications (AHC). Methods: This was a retrospective study of the National Inpatient Sample (NIS) database from 2016 to 2020. The population included adults hospitalized with AHCs as a principal diagnosis using the Clinical Classifications Software Refined code. Results: There was a decrease in the AHC hospitalization rate per 100,000 admissions for type 1 diabetes (T1D) during the pandemic (577 vs 600). However, there was an increase for type 2 diabetes (T2D) (117 vs 125). The mean age during the pandemic versus prepandemic was 34.8 ± 14.1 vs 34.7 ± 14.2 ( Conclusion: The pandemic had a significant impact on the hospitalization rate for both T1D and T2D.

Indexed as

COVID-19diabetes mellitushyperglycemiainpatientmortality

Identifiers

PMID38910828
PMCPMC11188789

What OpenQuestion 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 OpenQuestion graph.