Evidence map›Paper›PMID 38846927›Full record

ReviewJournal of multimorbidity and comorbidity

Epidemiology and impact of chronic disease multimorbidity in India: a systematic review and meta-analysis.

Roja Varanasi, Abhinav Sinha, Meenakshi Bhatia, Debadatta Nayak, Raj K Manchanda, Rajeev Janardhanan, John Tayu Lee, Simran Tandon, Sanghamitra Pati

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Roja VaranasiAmity Institute of Public Health, Noida, India.
Abhinav SinhaICMR-Regional Medical Research Centre, Bhubaneswar, India.ORCID https://orcid.org/0000-0001-7702-3671
Meenakshi BhatiaCentral Council for Research in Homoeopathy, New Delhi, India.
Debadatta NayakAmity Institute of Public Health, Noida, India.
Raj K ManchandaHomoeopathic Sectional Committee, AYUSH Department, Bureau of Indian Standards, Government of India, New Delhi, India.
Rajeev JanardhananAmity Institute of Public Health, Noida, India.
John Tayu LeeInstitute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.
Simran TandonAmity School of Health Sciences, Amity University, Mohali, India.
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This is the first systematic review and meta-analysis of the prevalence of multimorbidity, its risk factors including socioeconomic factors, and the consequences of multimorbidity on health systems and broader society in India. Methods: A systematic review of both published and grey literature from five databases (Medline, Embase, EBSCO, Scopus, and ProQuest) was conducted including original studies documenting prevalence or patient outcomes associated with multimorbidity among adults in India. We excluded studies that did not explicitly mention multimorbidity. Three independent reviewers did primary screening based on titles and abstracts followed by full-text review for potential eligibility. The risk of bias was independently assessed by two reviewers following the Appraisal Tool for Cross-Sectional Studies. We presented both qualitative and quantitative (through meta-analysis) summaries of the evidence. The protocol for this study was prospectively registered with PROSPERO (CRD42021257281). Results: The review identified 5442 articles out of which 35 articles were finally included in this study. Twenty-three studies were based on the primary data while 12 used secondary data. Eleven studies were conducted in hospital/primary care setting while 24 were community-based. The pooled prevalence of multimorbidity based on (n=19) studies included for meta-analysis was 20% (95% CI: 19% to 20%). The most frequent outcomes were increased healthcare utilization, reduced health-related quality of life, physical and mental functioning. Conclusion: We identified a wide variance in the magnitude of multimorbidity across age groups and regions with most of the studies from eastern India. Nation-wide studies, studies on vulnerable populations and interventions are warranted.

Indexed as

Indiameta-analysisMultimorbiditypatient outcomesprevalencesystematic review

Identifiers

PMID38846927
PMCPMC11155324

What OpenQuestion holds

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Registered trials

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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.