Evidence map›Paper›PMID 38562329›Full record

ArticleCureus2024

Analyzing the Outcomes of COVID-19 Infection on Patients With Comorbidities: Insights From Hospital-Based Study.

Ramya Bakthavatchalam, Sriram Bakthavatchalam, Shyamala Ravikoti, Bhaskaran Shanmukham, Kotha S Reddy, Janardhana R Pallavali, Archana Gaur, Jeganathan Geetha, Sakthivadivel Varatharajan

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Observational
  2. 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 1 institution in 2 countries.

Ramya BakthavatchalamBiochemistry, Thanjavur Medical College, Thanjavur, IND.
Sriram BakthavatchalamOrthopedics, Vellore Medical College and Hospital, Vellore, IND.
Shyamala RavikotiMicrobiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Bhaskaran ShanmukhamGeneral Medicine, Melamruvathur Adhiparasakthi Institute of Medical Sciences and Research, Melmaruvathur, IND.
Kotha S ReddyGeneral Medicine, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Janardhana R PallavaliGeneral Medicine, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Archana GaurPhysiology, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Jeganathan GeethaGeneral Medicine, Karpaga Vinayaga Institute of Medical sciences and Research Center, Maduranthagam, IND.
Sakthivadivel VaratharajanGeneral Medicine, All India Institute of Medical Sciences, Bibinagar, Hyderabad, IND.
Tamil University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction COVID-19 exhibits a broad spectrum of clinical manifestations, ranging from asymptomatic or mild cases to severe respiratory distress and, in some instances, fatal outcomes. The pre-existing inflammatory state in the patient prior to exposure to COVID-19, which could be because of any etiology or comorbidity, has been associated with prolonged morbidity, and adverse outcomes like increased mortality have been found. This study endeavors to investigate the principal risk factors linked to the morbidity and mortality of COVID-19, such as age, gender, and co-morbidities such as hypertension, diabetes mellitus, and others. Material and methods Patient demographic data like age, gender, and co-morbidities like diabetes mellitus, hypertension, respiratory illness, and coronary artery diseases, cerebrovascular accident was observed. The patient clinical profile, hematological, inflammatory markers at the time of admission, and outcome were noticed. Patients were divided into two groups - patients with comorbidity and those without comorbidity. Results In each cohort of COVID-19 patients, comprising those with and without comorbidities, there were 145 participants. The mean age of patients without comorbidities was found to be 49.97 years, whereas the mean age of those with comorbidities was 64.35 years. Within the comorbidity group, males formed the majority, accounting for 77.2% of the cohort; in the group without comorbidity also males predominated, representing 68.3% of the participants. Hypertension was the most common co-morbidity (89.7%), followed by diabetes mellitus (39.3%), and ischemic heart disease (8.3%). The multivariate logistic regression analysis for prediction of mortality showed hypothyroidism with odds ratio (OR) of 336.26 and confidence intervals (CI) (1.19-9477.13), ischemic heart disease with OR of 320.94 (CI 3.19-3237.4) and presence greater than two co-morbidities with OR of 42.14 (CI 1.34-1325.76). Cox regression analysis showed a statistically significant hazard ratio of 0.294 in patients with greater than two co-morbidities. Conclusion Hypothyroidism, ischemic heart disease, and the presence of multiple comorbid conditions were associated with the severity of COVID-19 illness and mortality.

Indexed as

comorbiditycovid-19hypothyroidismischemic heart diseasemortality

Identifiers

PMID38562329
PMCPMC10982082
OpenAlexW4392345391

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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.