ArticleJournal of global health2017
Mapping the global research landscape and knowledge gaps on multimorbidity: a bibliometric study.
Article in Journal of global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 6 of them syntheses that pooled 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.
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
80 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Core outcome sets for trials of interventions to prevent and to treat multimorbidity in adults in low and middle-income countries: the COSMOS study.BMJ global health · 2024Pooled it
- Pooled it
- Prevalence and predictors of medication non-adherence among people living with multimorbidity: a systematic review and meta-analysis.BMJ open · 2021Pooled it
- The experience of financial burden for people with multimorbidity: A systematic review of qualitative research.Health expectations : an international journal of public participation in health care and health policy · 2021Pooled it
- General practitioner strategies for managing patients with multimorbidity: a systematic review and thematic synthesis of qualitative research.BMC family practice · 2020Pooled it
- Measuring multimorbidity beyond counting diseases: systematic review of community and population studies and guide to index choice.BMJ (Clinical research ed.) · 2020Pooled it
- Multimorbidity Patterns and Mortality Risk in a National Sample of US Adults Identified Using Latent Class Analysis.Diseases (Basel, Switzerland) · 2026Article
- Data Resource Profile: Multimorbidity in Africa Digital Innovation, Visualisation and Application (MADIVA) research hub.International journal of epidemiology · 2026Article
- Socioeconomic status and medication adherence as determinants of health-related quality of life in patients with diabetes and hypertension.Irish journal of medical science · 2026Observational
- Review
- Global Resource Disparities Between Pulmonary Hypertension Centers: Results From the International Survey by the PVRI IDDI Access to Care Workstream.Pulmonary circulation · 2026Article
- The Multimorbidity Knowledge Domain: A Bibliometric Analysis of Web of Science Literature from 2004 to 2024.Healthcare (Basel, Switzerland) · 2025Article
- Perioperative outcomes among older surgical patients with multimorbidity: a longitudinal study from Ethiopia.BMC public health · 2025Article
- Sub-population identification of multimorbidity in sub-Saharan African populations.Scientific reports · 2025Article
- Hotspot Analysis of Rumen Microbiota and Methane Mitigation in Ruminants: A Bibliometric Analysis from 1998 to 2023.Animals : an open access journal from MDPI · 2025Article
- Multimorbidity patterns and function among adults in low- and middle-income countries: a scoping review.BMJ open · 2025Article
- Article
- Prevalence, patterns, and determinants of multimorbidity in South Africa: Insights from a nationally representative survey.PLOS global public health · 2025Article
- Digital interventions addressing the unmet needs of older adults with multimorbidity: a mixed-methods persona design approach.Frontiers in public health · 2025Article
- Bibliometric Analysis of Antipsychotic-induced Metabolic Disorder from 2006 to 2021 Based on WoSCC Database.Current neuropharmacology · 2025Article
20 more citing papers are in PubMed but not listed here.
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
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo summarize global research trends and activities on multimorbidity; then to assess the knowledge gaps and to identify implications for knowledge exchange between high income countries (HICs) and low- and middle- income countries (LMICs).
methodsA comprehensive search was conducted to identify research publications on multimorbidity in the Web of Science
findingsWe identified 2864 relevant publications as at June 2016, with the first paper on this topic indexed in 1974 from Germany, but 80% were published after 2010. Further analysis yielded two knowledge gaps: (1) compared with single conditions (diabetes, hypertension, depression, and COPD), there is a mismatch between the high prevalence of multimorbidity and its research outputs (ratio of articles on multimorbidity vs other four single conditions is 1:13-150); (2) although a total of 76 countries have contributed to this research area, only 5% of research originated from LMICs where 73% of non-communicable disease (NCD) related deaths had occurred. Additional analysis showed the median year of first publication occurred 15 years later in the LMICs compared with HICs (2010 vs 1995); and longer life expectancy was associated with exponentially higher publication outputs (Pearson correlation coefficient
conclusionsThis study confirms substantial knowledge gaps in the research agenda on multimorbidity, with input urgently needed to move us forward worldwide, especially for and in LMICs. There is the possibility that LMICs can learn from and collaborate with HICs in this area.
Indexed as
Identifiers
What OpenQuestion holds
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.