Evidence map›Paper›PMID 38562912›Full record

ArticleWestern Pacific surveillance and response journal : WPSAR

Epidemiology of and programmatic response to tuberculosis in Solomon Islands: analysis of surveillance data, 2016-2022.

Manami Yanagawa, Ben Gwali, Henry Kako, Noel Itogo, Lia Tanabose, Fukushi Morishita

Abstract read
In one paragraph

Article in Western Pacific surveillance and response journal : WPSAR. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Genomic epidemiology of theFrontiers in microbiology · 2026
    Article
  2. Article
  3. 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

6 authors.

Manami YanagawaWorld Health Organization Regional Office for the Western Pacific, Manila, Philippines.
Ben GwaliNational Tuberculosis Programme, Ministry of Health and Medical Services, Honiara, Solomon Islands.
Henry KakoNational Tuberculosis Programme, Ministry of Health and Medical Services, Honiara, Solomon Islands.
Noel ItogoNational Tuberculosis Programme, Ministry of Health and Medical Services, Honiara, Solomon Islands.
Lia TanaboseWorld Health Organization Representative Office for Solomon Islands, Honiara, Solomon Islands.
Fukushi MorishitaWorld Health Organization Regional Office for the Western Pacific, Manila, Philippines.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Objective: To identify progress and challenges in the national response to tuberculosis (TB) in Solomon Islands through an epidemiological overview of TB in the country. Methods: A descriptive analysis was conducted using the national TB surveillance data for 2016-2022. Case notifications, testing data, treatment outcomes and screening activities were analysed. Results: The number of case notifications was 343 in 2022, with an average annual reduction of the case notification rate between 2016 and 2022 of 4.7%. The highest case notification rate was reported by Honiara City Council (126/100 000 population) in 2022. The number of people with presumptive TB tested by Xpert Discussion: This epidemiological analysis in Solomon Islands reveals both notable achievements and challenges in the country's TB programme. One major achievement is a potential actual reduction in TB incidence. Challenges identified were potential underdetection of cases in rural areas, suboptimal community-based care, and insufficient contact tracing and uptake of TPT. It is crucial to address these challenges (e.g. by optimizing resources) to advance the national TB response.

Indexed as

TuberculosisChildContact TracingHumansIncidenceMelanesiaTreatment Outcome

Identifiers

PMID38562912
PMCPMC10982956

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.