Evidence map›Paper›PMID 39416596›Full record

ArticleWestern Pacific surveillance and response journal : WPSAR

Active case finding to detect symptomatic and subclinical pulmonary tuberculosis disease: implementation of computer-aided detection for chest radiography in Viet Nam.

Anh L Innes, Andres Martinez, Gia Linh Hoang, Thi Bich Phuong Nguyen, Viet Hien Vu, Tuan Ho Thanh Luu, Thi Thu Trang Le, Victoria Lebrun, Van Chinh Trieu, Nghi Do Bao Tran and 8 more

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The next viral pandemic-where do we stand?Folia microbiologica · 2025
    Review
  7. 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

18 authors.

Anh L InnesFHI 360 Asia Pacific Regional Office, Bangkok, Thailand.
Andres MartinezFHI 360, Durham, North Carolina, United States of America.
Gia Linh HoangFHI 360 Viet Nam, Hanoi, Viet Nam.
Thi Bich Phuong NguyenFHI 360 Viet Nam, Hanoi, Viet Nam.
Viet Hien VuFHI 360 Viet Nam, Hanoi, Viet Nam.
Tuan Ho Thanh LuuFHI 360 Viet Nam, Hanoi, Viet Nam.
Thi Thu Trang LeFHI 360 Viet Nam, Hanoi, Viet Nam.
Victoria LebrunFHI 360 Viet Nam, Hanoi, Viet Nam.
Van Chinh TrieuFHI 360 Viet Nam, Hanoi, Viet Nam.
Nghi Do Bao TranFHI 360 Viet Nam, Hanoi, Viet Nam.
Nhi DinhFHI 360, Durham, North Carolina, United States of America.
Huy Minh PhamUnited States Agency for International Development/Viet Nam, Hanoi, Viet Nam.
Van Luong DinhViet Nam National Lung Hospital, Hanoi, Viet Nam.
Binh Hoa NguyenViet Nam National Lung Hospital, Hanoi, Viet Nam.
Thi Thanh Huyen TruongViet Nam National Lung Hospital, Hanoi, Viet Nam.
Van Cu NguyenViet Nam National Lung Hospital, Hanoi, Viet Nam.
Viet Nhung NguyenViet Nam National Lung Hospital, Hanoi, Viet Nam.
Thu Hien MaiFHI 360 Viet Nam, Hanoi, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In Viet Nam, tuberculosis (TB) prevalence surveys revealed that approximately 98% of individuals with pulmonary TB have TB-presumptive abnormalities on chest radiographs, while 32% have no TB symptoms. This prompted the adoption of the "Double X" strategy, which combines chest radiographs and computer-aided detection with GeneXpert testing to screen for and diagnose TB among vulnerable populations. The aim of this study was to describe demographic, clinical and radiographic characteristics of symptomatic and asymptomatic Double X participants and to assess multilabel radiographic abnormalities on chest radiographs, interpreted by computer-aided detection software, as a possible tool for detecting TB-presumptive abnormalities, particularly for subclinical TB. Methods: Double X participants with TB-presumptive chest radiographs and/or TB symptoms and known risks were referred for confirmatory GeneXpert testing. The demographic and clinical characteristics of all Double X participants and the subset with confirmed TB were summarized. Univariate and multivariable logistic regression modelling was used to evaluate associations between participant characteristics and subclinical TB and between computer-aided detection multilabel radiographic abnormalities and TB. Results: From 2020 to 2022, 96 631 participants received chest radiographs, with 67 881 (70.2%) reporting no TB symptoms. Among 1144 individuals with Xpert-confirmed TB, 51.0% were subclinical. Subclinical TB prevalence was higher in older age groups, non-smokers, those previously treated for TB and the northern region. Among 11 computer-aided detection multilabel radiographic abnormalities, fibrosis was associated with higher odds of subclinical TB. Discussion: In Viet Nam, Double X community case finding detected pulmonary TB, including subclinical TB. Computer-aided detection software may have the potential to identify subclinical TB on chest radiographs by classifying multilabel radiographic abnormalities, but further research is needed.

Indexed as

Radiography, ThoracicTuberculosis, PulmonaryAdolescentAdultAgedDiagnosis, Computer-AssistedFemaleHumansMaleMiddle AgedPrevalenceVietnamYoung Adult

Identifiers

PMID39416596
PMCPMC11473474

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.