Evidence map›Paper›PMID 41587963›Full record

SynthesisNature communications2026

Quality of life and multiple long-term conditions in Southeast Asia: a systematic review and meta-analysis.

Deborah Ikhile, Patrick Highton, Clare Gillies, Ruksar Abdala, Ashkon Ardavani, Monika Arora, Amrit Banstola, Aakrushi Brahmbhatt, Shabana Cassambai, Mark P Funnell and 12 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

22 authors.

Deborah Ikhile *Diabetes Research Centre, University of Leicester, Leicester, UK. di46@leicester.ac.uk.ORCID http://orcid.org/0000-0002-4343-1674
Patrick Highton *Diabetes Research Centre, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0002-0410-5788
Clare GilliesDiabetes Research Centre, University of Leicester, Leicester, UK.
Ruksar AbdalaDiabetes Research Centre, University of Leicester, Leicester, UK.
Ashkon ArdavaniDiabetes Research Centre, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0002-9442-3295
Monika AroraHealth-Related Information Dissemination Among Youth, New Delhi, India.ORCID http://orcid.org/0000-0001-9987-3933
Amrit BanstolaDepartment of Health Sciences, Brunel University of London, Middlesex, UK.ORCID http://orcid.org/0000-0003-3185-9638
Aakrushi BrahmbhattCentre for Chronic Disease Control, New Delhi, India.
Shabana CassambaiDiabetes Research Centre, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0001-6201-9063
Mark P FunnellDiabetes Research Centre, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0001-7473-5999
Shifalika GoenkaCentre for Chronic Disease Control, New Delhi, India.ORCID http://orcid.org/0000-0001-6993-2883
Shavez JeffersDiabetes Research Centre, University of Leicester, Leicester, UK.ORCID http://orcid.org/0000-0001-7542-1772
Dimple KondalCentre for Chronic Disease Control, New Delhi, India.
Sailesh MohanCentre for Chronic Disease Control, New Delhi, India.
Prakash MulakalapalliCentre for Chronic Disease Control, New Delhi, India.ORCID http://orcid.org/0009-0000-9303-4741
Natalia OliKathmandu Medical College, Kathmandu, Nepal.
Arron PeaceDiabetes Research Centre, University of Leicester, Leicester, UK.ORCID http://orcid.org/0009-0005-3859-2907
Kuldeep SinghAll India Institute of Medical Sciences Jodhpur, Jodhpur, India.ORCID http://orcid.org/0000-0002-9375-3233
Abhinav VaidyaKathmandu Medical College, Kathmandu, Nepal.
Nikhil Srinivasapura VenkateshmurthyCentre for Chronic Disease Control, New Delhi, India.ORCID http://orcid.org/0000-0003-4037-6371
Dorairaj PrabhakaranCentre for Chronic Disease Control, New Delhi, India.ORCID http://orcid.org/0000-0002-3172-834X
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review systematically synthesised the evidence on quality of life measures and outcomes for people living with multiple long-term conditions in the Southeast Asia region. Results were analysed using a combination of methods, meta-analysis for studies where the same quality of life score was reported across three or more cohorts, and descriptive narrative synthesis. In total, 34 studies comprising 11,876 participants were included in the narrative synthesis and 14 of these were included in meta-analysis. The most common quality of life tools used included WHOQOL-BREF (n = 8) and EQ-5D-5L (n = 3) with pooled mean values of 70.47 (95% CI: 62.71 to 78.24) and 0.76 (95% CI: 0.67 to 0.84) respectively, indicating reduced but good quality of life. As healthcare systems adapt to the evolving challenges associated with multiple long-term conditions, understanding the tools and measures used to assess quality of life in different contexts becomes imperative to account for disease combinations and cultural nuances.

Indexed as

Quality of LifeAsia, SoutheasternChronic DiseaseHumansSurveys and Questionnaires

Identifiers

PMID41587963
PMCPMC12886794

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.