Evidence map›Paper›PMID 29527342›Full record

ArticleBMJ global health2018

Evaluation of research on interventions aligned to WHO 'Best Buys' for NCDs in low-income and lower-middle-income countries: a systematic review from 1990 to 2015.

Luke N Allen, Jessica Pullar, Kremlin Khamarj Wickramasinghe, Julianne Williams, Nia Roberts, Bente Mikkelsen, Cherian Varghese, Nick Townsend

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 8 pooled it
19.2field-weighted citation impact, top 1% of its field
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

75 citing papers in PubMed, 8 syntheses or guidelines pooled it, 120 citations in OpenAlex.

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  13. [Reflections on implementing population-based measures for the prevention of non-communicable diseases].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025
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15 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 2 countries.

Luke N AllenCentre on Population Approaches for NCD Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0003-2750-3575
Jessica PullarCentre on Population Approaches for NCD Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Kremlin Khamarj WickramasingheCentre on Population Approaches for NCD Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Julianne WilliamsCentre on Population Approaches for NCD Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Nia RobertsHealth Library, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Bente MikkelsenGlobal Coordination Mechanism for Noncommunicable Diseases, WHO, Geneva, Switzerland.
Cherian VargheseDepartment for Management of Noncommunicable Diseases, Disability, Violence and Injury Prevention, WHO, Geneva, Switzerland.
Nick TownsendCentre on Population Approaches for NCD Prevention, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
University of Oxford · GBInstitute of Social and Preventive Medicine · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundNon-communicable diseases (NCDs) are the leading cause of death and disability worldwide, with low-income and middle-income countries experiencing a disproportionately high burden. Since 2010 WHO has promoted 24 highly cost-effective interventions for NCDs, dubbed 'best buys'. It is unclear whether these interventions have been evaluated in low-income and lower-middle-income countries (LLMICs).

aimTo systematically review research on interventions aligned to WHO 'best buys' for NCDs in LLMICs.

methodsWe searched 13 major databases and included papers conducted in the 83 World Bank-defined LLMICs, published between 1 January 1990 and 5 February 2015. Two reviewers independently screened papers and assessed risk of bias. We adopted a narrative approach to data synthesis. The primary outcomes were NCD-related mortality and morbidity, and risk factor prevalence.

resultsWe identified 2672 records, of which 36 were included (608 940 participants). No studies on 'best buys' were found in 89% of LLMICs. Nineteen of the 36 studies reported on the effectiveness of tobacco-related 'best buys', presenting good evidence for group interventions in reducing tobacco use but weaker evidence for interventions targeting individuals. There were fewer studies on smoking bans, warning labels and mass media campaigns, and no studies on taxes or marketing restrictions. There was supportive evidence that cervical screening and hepatitis B immunisation prevent cancer in LLMICs. A single randomised controlled trial supported polypharmacy for cardiovascular disease. Fourteen of the 'best buy' interventions did not have any good evidence for effectiveness in LLMICs.

conclusionsWe found studies on only 11 of the 24 interventions aligned with the WHO 'best buys' from LLMIC settings. Most LLMICs have not conducted research on these interventions in their populations. LLMICs should take action to implement and evaluate 'best buys' in their national context, based on national priorities, and starting with interventions with the strongest evidence base.

Indexed as

best buysdeveloping countrieslow and lower middle income countriesnon-communicable diseases

Identifiers

PMID29527342
PMCPMC5841523
OpenAlexW2791017618

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.