Evidence map›Paper›PMID 39296869›Full record

ReviewJournal of multimorbidity and comorbidity

Epidemiology of multimorbidity in Nepal: A systematic review and meta-analysis.

Abhinav Sinha, S Shradha Suman, Narayan Subedi, Krushna Chandra Sahoo, Mukesh Poudel, Arohi Chauhan, Banamber Sahoo, Marjan van den Akker, David Weller, Stewart W Mercer and 1 more

Abstract 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. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
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

11 authors.

Abhinav SinhaICMR-Regional Medical Research Centre, Bhubaneswar, India.ORCID https://orcid.org/0000-0001-7702-3671
S Shradha SumanICMR-Regional Medical Research Centre, Bhubaneswar, India.
Narayan SubediNepal Development Society, Chitwan, Nepal.
Krushna Chandra SahooICMR-Regional Medical Research Centre, Bhubaneswar, India.
Mukesh PoudelMinistry of Health and Population, Kathmandu, Nepal.
Arohi ChauhanPublic Health Foundation of India, Gurugram, India.
Banamber SahooICMR-Regional Medical Research Centre, Bhubaneswar, India.
Marjan van den AkkerInstitute of General Practice, Goethe University, Frankfurt am Main, Germany.ORCID https://orcid.org/0000-0002-1022-8637
David WellerUsher Institute, University of Edinburgh, Edinburgh, UK.
Stewart W MercerUsher Institute, University of Edinburgh, Edinburgh, UK.
Sanghamitra PatiICMR-Regional Medical Research Centre, Bhubaneswar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multimorbidity is rising in low-and middle-income countries such as Nepal, yet the research has not gained pace in this field. We aimed to systematically review the existing multimorbidity literature in Nepal and estimate the prevalence and map its risk factors and consequences. Methods: We reviewed data collated from PubMed, Embase and CINAHL by including original studies that reported prevalence of multimorbidity in Nepal. The quality of included studies was assessed using the Appraisal Tool for Cross-sectional Studies. The summary of the review is presented both qualitatively as well as through meta-analysis to give pooled prevalence. We prospectively registered in PROSPERO (CRD42024499598). Results: We identified 423 studies out of which seven were included in this review. All studies were conducted in a community setting except one which was hospital based. The prevalence reported across various studies ranged from 13.96% to 70.1%. The pooled prevalence of multimorbidity was observed to be 25.05% (95% CI: 16.99 to 34.09). The number of conditions used to assess multimorbidity ranged from four to nine. The major risk factors identified were increasing age, urban residence, and lower literacy rates. Conclusion: A wide variance in the prevalence of multimorbidity was observed. Moreover, multimorbidity assessment tool/conditions considered for assessing multimorbidity were heterogeneous.

Indexed as

epidemiologymultimorbidityNepal

Identifiers

PMID39296869
PMCPMC11409287

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.