Evidence map›Paper›PMID 42701590›Full record

ArticleBioinformation2026

Association between comorbid conditions and disease severity in COVID-19 patients: A retrospective study from a government medical college hospital of Central India.

Rakesh Kumar Sisodia, Tarunendra Kumar Mishra, Mahesh Kumar Patidar, Mahendra Chouhan, Umesh Sinha

Abstract read
In one paragraph

Article in Bioinformation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Rakesh Kumar SisodiaDepartment of General Medicine, Government Medical College Ratlam, Madhya Pradesh, India.
Tarunendra Kumar MishraDepartment of General Medicine, Government Medical College Ratlam, Madhya Pradesh, India.
Mahesh Kumar PatidarDepartment of Respiratory Medicine, Government Medical College Ratlam, Madhya Pradesh, India.
Mahendra ChouhanDepartment of General Medicine, Government Medical College Ratlam, Madhya Pradesh, India.
Umesh SinhaDepartment of Community Medicine, Government Medical College Ratlam, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has posed a major global health challenge, with emerging evidence showing worse outcomes among patients with pre- existing comorbidities. Therefore, it is of interest to examine the association between comorbidity status and disease severity among 384 laboratory-confirmed COVID-19 patients admitted to a government medical college in Central India. Patients were divided into comorbid(n=192) and non-comorbid (n=192) groups, with hypertension (69.27%), diabetes mellitus (36.98%) and cardiac disease (13.54%) being most prevalent. Fever (67.45%), cough (55.47%) and shortness of breath (36.20%) were predominant symptoms, while severe illness occurred in 29.69% of comorbid versus 11.46% of non-comorbid patients (x

Indexed as

comorbiditiesCoronavirus disease 2019 (COVID-19)diabetes mellitusdisease severityhypertensionsevere acute respiratory syndrome coronavirus 2(SARS-CoV-2)

Identifiers

PMID42701590
PMCPMC13545913

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.