Evidence map›Paper›PMID 38313858›Full record

ArticleWorld journal of diabetes2024

Prediabetes: An overlooked risk factor for major adverse cardiac and cerebrovascular events in atrial fibrillation patients.

Rupak Desai, Nishanth Katukuri, Sumaja Reddy Goguri, Azra Kothawala, Naga Ruthvika Alle, Meena Kumari Bellamkonda, Debankur Dey, Sharmila Ganesan, Minakshi Biswas, Kuheli Sarkar and 2 more

Abstract read
In one paragraph

Article in World journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Rupak DesaiIndependent Researcher, Independent Researcher, Atlanta, GA 30079, United States.
Nishanth KatukuriDepartment of Internal Medicine, Mayo Clinic, Rochester, MN 55902, United States.
Sumaja Reddy GoguriDepartment of Medicine, Chalmeda Anand Rao Institute of Medical Sciences, Telangana 505001, India.
Azra KothawalaDepartment of Medicine, Jawaharlal Nehru Medical College, Belgaum 590010, India.
Naga Ruthvika AlleDepartment of Medicine, Narayana Medical College, Andhra Pradesh, Nellore 524003, India.
Meena Kumari BellamkondaDepartment of Medicine, Dr Pinnamaneni Siddhartha Institute of Medical Sciences and Research Foundation, Vijaywada 521286, India.
Debankur DeyDepartment of Medicine, Medical College Kolkata, Kolkata 700073, India.
Sharmila GanesanDepartment of Medicine, P.E.S. Institute of Medical Sciences and Research, Andhra Pradesh 517425, India.
Minakshi BiswasDepartment of Medicine, Shaheed Ziaur Rahman Medical College, Bogra 5800, Bangladesh.
Kuheli SarkarDepartment of Medicine, College of Medicine and J.N.M Hospital, Kalyani 741235, India.
Pramoda PrattipatiDepartment of Medicine, Jawaharlal Nehru Medical College India, Karnataka, Belagavi 590010, India.
Shaylika ChauhanDepartment of Internal Medicine, Geisinger Health System, Wikes-Barre, PA 18702, United States. drshaylikachauhan@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediabetes is a well-established risk factor for major adverse cardiac and cerebrovascular events (MACCE). However, the relationship between prediabetes and MACCE in atrial fibrillation (AF) patients has not been extensively studied. Therefore, this study aimed to establish a link between prediabetes and MACCE in AF patients.

aimTo investigate a link between prediabetes and MACCE in AF patients.

methodsWe used the National Inpatient Sample (2019) and relevant ICD-10 CM codes to identify hospitalizations with AF and categorized them into groups with and without prediabetes, excluding diabetics. The primary outcome was MACCE (all-cause inpatient mortality, cardiac arrest including ventricular fibrillation, and stroke) in AF-related hospitalizations.

resultsOf the 2965875 AF-related hospitalizations for MACCE, 47505 (1.6%) were among patients with prediabetes. The prediabetes cohort was relatively younger (median 75

conclusionThis population-based study found a significant association between prediabetes and MACCE in AF patients. Therefore, there is a need for further research to actively screen and manage prediabetes in AF to prevent MACCE.

Indexed as

Atrial fibrillationCardiovascular disease riskMajor adverse cardiovascular and cerebrovascular eventsMortalityPrediabetesStroke

Identifiers

PMID38313858
PMCPMC10835500

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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.