Evidence map›Paper›PMID 37647450›Full record

ArticleImmunity, inflammation and disease2023

Risk factors identification of COVID-19 patients with chronic obstructive pulmonary disease: A retrospective study in Punjab-Pakistan.

Muhammad Muneeb Hassan, M H Tahir, Muhammad Ameeq, Farrukh Jamal, John T Mendy, Christophe Chesneau

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
7.6field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Multi-Ancestry Mendelian Randomization Reveals Lipid-Associated Genetic Risk Factors for COPD.International journal of chronic obstructive pulmonary disease · 2025
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  7. Socio-Ecological Factors Influencing Maternal and Child Health Outcomes During Floods in South Punjab Pakistan 2025: A Mixed-Methods Approach.Health expectations : an international journal of public participation in health care and health policy · 2026
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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

6 authors at 3 institutions in 3 countries.

Muhammad Muneeb HassanDepartment of Statistics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.ORCID 0000-0002-1989-2622
M H TahirDepartment of Statistics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.ORCID 0000-0002-2157-3997
Muhammad AmeeqDepartment of Statistics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.ORCID 0000-0002-3677-2075
Farrukh JamalDepartment of Statistics, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan.ORCID 0000-0001-6192-9890
John T MendyDepartment of Mathematics, School of Arts and Science, University of The Gambia, Serrekunda, Gambia.ORCID 0000-0002-3774-0761
Christophe ChesneauDepartment of Mathematics, LMNO, University of Caen-Normandie, Caen, France.
Islamia University of Bahawalpur · PKUniversité de Caen Normandie · FRUniversity of the Gambia · GM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccessibility to the immense collection of studies on noncommunicable diseases related to coronavirus disease of 2019 (COVID-19) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an immediate focus of researchers. However, there is a scarcity of information about chronic obstructed pulmonary disease (COPD), which is associated with a high rate of infection in COVID-19 patients. Moreover, by combining the effects of the SARS-CoV-2 on COPD patients, we may be able to overcome formidable obstacles factors, and diagnosis influencers. MATERIALS AND

methodsA retrospective study of 280 patients was conducted at DHQ Hospital Muzaffargarh in Punjab, Pakistan. Negative binomial regression describes the risk of fixed successive variables. The association is described by the Cox proportional hazard model and the model coefficient is determined through log-likelihood observation. Patients with COPD had their survival and mortality plotted on Kaplan-Meier curves.

resultsThe increased risk of death in COPD patients was due to the effects of variables such as cough, lower respiratory tract infection (LRTI), tuberculosis (TB), and body-aches being 1.369, 0.693, 0.170, and 0.217 times higher at (95% confidence interval [CI]: 0.747-1.992), (95% CI: 0.231-1.156), (95% CI: 0.008-0.332), and (95% CI: -0.07 to 0.440) while it decreased 0.396 in normal condition.

conclusionWe found that the symptoms of COPD (cough, LRTI, TB, and bodyaches) are statistically significant in patients who were most infected by SARS-CoV-2.

Indexed as

COVID-19Pulmonary Disease, Chronic ObstructiveRespiratory Tract InfectionsCoughHumansPakistanRetrospective StudiesRisk FactorsSARS-CoV-2COPDCOVID-19Cox proportional hazard model and negative binomial distributionSARS-CoV-2

Identifiers

PMID37647450
PMCPMC10461420
OpenAlexW4386226435

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.