Evidence map›Paper›PMID 33882070›Full record

ArticlePloS one2021

eNose-TB: A trial study protocol of electronic nose for tuberculosis screening in Indonesia.

Antonia Morita Iswari Saktiawati, Kuwat Triyana, Siska Dian Wahyuningtias, Bintari Dwihardiani, Trisna Julian, Shidiq Nur Hidayat, Riris Andono Ahmad, Ari Probandari, Yodi Mahendradhata

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04567498 (eNose-TB), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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.

NCT04567498 naunknown statusnot on this map

eNose-TB: Electronic Nose for Tuberculosis Screening in Indonesia

TypeinterventionalSponsorGadjah Mada UniversityRan2021 to 2024Enrolled1,778ConditionsTuberculosisArmsexhaled breath sampling
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Detection ofSensors (Basel, Switzerland) · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Noninvasive SARS-CoV-2 detection using a low-cost electronic nose.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

9 authors.

Antonia Morita Iswari SaktiawatiFaculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID 0000-0001-5896-0846
Kuwat TriyanaFaculty of Mathematics and Natural Sciences, Department of Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Siska Dian WahyuningtiasFaculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Bintari DwihardianiFaculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Trisna JulianFaculty of Mathematics and Natural Sciences, Department of Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Shidiq Nur HidayatFaculty of Mathematics and Natural Sciences, Department of Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Riris Andono AhmadFaculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Ari ProbandariFaculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID 0000-0003-3171-5271
Yodi MahendradhataFaculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven though conceptually, Tuberculosis (TB) is almost always curable, it is currently the world's leading infectious killer. Patients with pulmonary TB are the source of transmission. Approximately 23% of the world's population is believed to be latently infected with TB bacteria, and 5-15% of them will progress at any point in time to develop the disease. There was a global diagnostic gap of 2.9 million between notifications of new cases and the estimated number of incident cases, and Indonesia carries the third-highest of this gap. Therefore, screening TB among the community is of great importance to prevent further transmission and infection. The electronic nose for screening TB (eNose-TB) project is initiated in Yogyakarta, Indonesia, to screen TB by breath test with an electronic-nose that is easy-to-use, point-of-care, does not expose patients to radiation, and can be produced at low cost. METHODS/

designThe objectives of the two-phase planned project are to: 1) investigate the potential of an eNose-TB as a screening tool in Indonesia, in comparison with screening with clinical symptoms and chest radiology, which are currently used as a standard, and 2) analyze the time and cost of a screening algorithm with eNose-TB to obtain additional case detection. A cross-sectional study will be conducted in the first phase to validate the eNose-TB. The validation phase will involve 395 presumptive TB patients in the Surakarta General Hospital, Central Java. In the second phase, a cross-sectional research will be conducted, involving 1,383 adults and children in the municipality of Yogyakarta and Kulon Progo district of Yogyakarta Province. DISCUSSION: The findings will provide data concerning the sensitivity and specificity of the eNose-TB as a screening tool for tuberculosis, and the time and cost analysis of a screening algorithm with the eNose.

trial registrationNCT04567498; https://clinicaltrials.gov/.

Indexed as

Electronic NosePoint-of-Care SystemsBreath TestsCase-Control StudiesHumansIndonesiaMass ScreeningMycobacterium tuberculosisROC CurveTuberculosis, Pulmonary

Identifiers

PMID33882070
PMCPMC8059810

What OpenQuestion holds

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Registered trials

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.