ReviewJournal of multimorbidity and comorbidity
Overview of multimorbidity research in India: A scoping review.
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. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Article
- Prevalence, patterns and associated behavioural risk factors of multimorbidity in rural India: Cross-sectional analysis from the Andhra Pradesh Children and Parents Study (APCAPS).PLOS global public health · 2026Article
- Multimorbidity in sepsis-associated acute kidney injury: Methodological gaps.The Indian journal of medical research · 2025Article
- Cardiometabolic multimorbidity (CMM) among older adults in India.BMC cardiovascular disorders · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Objectives: Demographic and epidemiological shifts have led to people living with coexisting health issues, known as 'multimorbidity'. Given India's aging population, rising noncommunicable disease burden, chronic infections, fragmented healthcare, and reliance on specialist care, a scoping review is needed to understand the extent and nature of research on multimorbidity in India. Methods: A comprehensive search was conducted across PubMed, Cochrane, and Embase for studies focused on multimorbidity, with information specifically from India. Two reviewers independently screened the results and extracted information on definitions, including use of cut-offs or a minimum number of conditions, data and methods, patterns, risk factors and outcomes. Results were synthesized using descriptive statistics and narrative synthesis. Results: Of 9954 identified studies, 100 were included in the final synthesis. Of these, 62 were secondary analyses, 35 collected primary data, and 3 used administrative data. Most studies defined multimorbidity as two or more chronic or long-term conditions but did not specify whether long-term infections or mental health conditions were included. The number of conditions varied between 4 and 22. Circulatory, endocrine-nutritional-metabolic, and respiratory diseases were most frequently included. Beyond simple disease counts, combinations were reported in 15 studies. Healthcare utilization, out-of-pocket expenditure, and quality of life were commonly studied, mostly using cross-sectional designs. Conclusion: A standardised panel of conditions with clear definitions is needed for measuring multimorbidity. Conditions should be ascertained through a combination of self-report, physical examinations, and laboratory investigations. Additionally, longitudinal studies focused on multimorbidity, and its outcomes are needed to strengthen evidence base in India.
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Registered trials
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.