Evidence map›Paper›PMID 35509959›Full record

ReviewSAGE open medicine2022

Systematic review and meta-analysis of comorbidities and associated risk factors in Indian patients of community-acquired pneumonia.

Canna Jagdish Ghia, Gautam Sudhakar Rambhad

Open access · goldAbstract readReview
In one paragraph

Review in SAGE open medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Optimizing adult pneumococcal vaccination in India: Evidence from serotype surveillance.Lung India : official organ of Indian Chest Society · 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

2 authors at 1 institution in 1 country.

Canna Jagdish GhiaPfizer India, Mumbai, India.ORCID https://orcid.org/0000-0001-9839-3209
Gautam Sudhakar RambhadPfizer India, Mumbai, India.
Pfizer (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Comorbidities and risk factors have a major implication on incidence, complications, mortality, and management of community-acquired pneumonia complications and treatment outcomes. This study attempts to identify the same in the Indian population through a systematic review and meta-analysis. Methods: We screened observational studies (between January 1990 and February 2021) that reported potential comorbidities and other factors associated with increased risk of community-acquired pneumonia in the Indian population (⩾12 years) using PubMed, Google Scholar, and manual search. The risk of bias was identified using the Joanna Briggs Institute checklist for prevalence studies. Meta-analysis was conducted by using the random intercept logistic regression model. Results: Twenty-three studies were included in this analysis. The most prevalent comorbidities were chronic obstructive pulmonary disease (24.2%; 95% confidence interval: 16.4%-34.2%), hypertension (23.7%; 95% confidence interval: 13.6%-38.1%), and diabetes mellitus (16%; 95% confidence interval: 9.9%-24.7%). The prevalence of community-acquired pneumonia was high in patients with a current or previous history of smoking (51.4%; 95% confidence interval: 42.3%-61%) and advanced age ⩾50 years: (55.8%; 95% confidence interval: 48.4%-62%). Conclusions: Comorbid conditions like chronic obstructive pulmonary disease, hypertension, and diabetes mellitus and factors like advanced age and smoking history were common risk factors for community-acquired pneumonia in the Indian population.

Indexed as

Community-acquired pneumoniacomorbidityIndiarisk factor

Identifiers

PMID35509959
PMCPMC9058354
OpenAlexW4225855996

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.