Evidence map›Paper›PMID 31572391›Full record

ReviewFrontiers in immunology2019

Health Challenges of the Pacific Region: Insights From History, Geography, Social Determinants, Genetics, and the Microbiome.

Paul F Horwood, Arnaud Tarantola, Cyrille Goarant, Mariko Matsui, Elise Klement, Masahiro Umezaki, Severine Navarro, Andrew R Greenhill

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Palau: Non-Communicable Disease Off-Island Treatment Referrals 2020-2022.International journal of environmental research and public health · 2025
    Article
  11. Article
  12. Article
  13. A Quantitative Analysis of Human and Material Resources for Endoscopy Services in Pacific Island Countries.JGH open : an open access journal of gastroenterology and hepatology · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Article
  19. Article
  20. 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

8 authors at 6 institutions in 3 countries.

Paul F HorwoodCollege of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, Australia.
Arnaud TarantolaInstitut Pasteur de Nouvelle-Calédonie, Noumea, New Caledonia.
Cyrille GoarantInstitut Pasteur de Nouvelle-Calédonie, Noumea, New Caledonia.
Mariko MatsuiInstitut Pasteur de Nouvelle-Calédonie, Noumea, New Caledonia.
Elise KlementInstitut Pasteur de Nouvelle-Calédonie, Noumea, New Caledonia.
Masahiro UmezakiDepartment of Human Ecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Severine NavarroImmunology Department, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
Andrew R GreenhillSchool of Health and Life Sciences, Federation University Australia, Churchill, VIC, Australia.
Institut Pasteur de Nouvelle Calédonie · NCFederation University · AUJames Cook University · AUQIMR Berghofer Medical Research Institute · AUThe University of Tokyo · JPUniversity of New Caledonia · NC

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pacific region, also referred to as Oceania, is a geographically widespread region populated by people of diverse cultures and ethnicities. Indigenous people in the region (Melanesians, Polynesians, Micronesians, Papuans, and Indigenous Australians) are over-represented on national, regional, and global scales for the burden of infectious and non-communicable diseases. Although social and environmental factors such as poverty, education, and access to health-care are assumed to be major drivers of this disease burden, there is also developing evidence that genetic and microbiotic factors should also be considered. To date, studies investigating genetic and/or microbiotic links with vulnerabilities to infectious and non-communicable diseases have mostly focused on populations in Europe, Asia, and USA, with uncertain associations for other populations such as indigenous communities in Oceania. Recent developments in personalized medicine have shown that identifying ethnicity-linked genetic vulnerabilities can be important for medical management. Although our understanding of the impacts of the gut microbiome on health is still in the early stages, it is likely that equivalent vulnerabilities will also be identified through the interaction between gut microbiome composition and function with pathogens and the host immune system. As rapid economic, dietary, and cultural changes occur throughout Oceania it becomes increasingly important that further research is conducted within indigenous populations to address the double burden of high rates of infectious diseases and rapidly rising non-communicable diseases so that comprehensive development goals can be planned. In this article, we review the current knowledge on the impact of nutrition, genetics, and the gut microbiome on infectious diseases in indigenous people of the Pacific region.

Indexed as

MicrobiotaCommunicable DiseasesGeographyHealth Services, IndigenousHumansIndigenous PeoplesNoncommunicable DiseasesOceaniaPublic HealthSocial Determinants of Healthgeneticsinfectious diseasemicrobiomenon-communicable diseasenutritionOceaniaPacific

Identifiers

PMID31572391
PMCPMC6753857
OpenAlexW2970822441

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.