Evidence map›Paper›PMID 28152082›Full record

ArticlePloS one2017

Bringing state-of-the-art diagnostics to vulnerable populations: The use of a mobile screening unit in active case finding for tuberculosis in Palawan, the Philippines.

Fukushi Morishita, Anna Marie Celina Gonzales Garfin, Woojin Lew, Kyung Hyun Oh, Rajendra-Prasad Yadav, Janeth Cuencaho Reston, Lenie Lucio Infante, Maria Rebethia Crueldad Acala, Dean Lim Palanca, Hee Jin Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 5 pooled it
4.4field-weighted citation impact, top 5% 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

41 citing papers in PubMed, 5 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Number needed to screen for TB in clinical, structural or occupational risk groups.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
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  10. Effectiveness of Systematic Screening and Treatment of Tuberculosis in Prison in Thailand.The American journal of tropical medicine and hygiene · 2024
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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

11 authors at 4 institutions in 1 country.

Fukushi MorishitaWorld Health Organization Regional Office for the Western Pacific, Manila, Philippines.
Anna Marie Celina Gonzales GarfinNational TB Control Programme, Department of Health, Manila, Philippines.
Woojin LewWorld Health Organization Representative Office in Mongolia, Ulaanbaatar, Mongolia.
Kyung Hyun OhKorean Institute of Tuberculosis, Cheongju, Republic of Korea.
Rajendra-Prasad YadavWorld Health Organization Representative Office in the Philippines, Manila, Philippines.
Janeth Cuencaho RestonWorld Health Organization Representative Office in the Philippines, Manila, Philippines.
Lenie Lucio InfanteWorld Health Organization Representative Office in the Philippines, Manila, Philippines.
Maria Rebethia Crueldad AcalaProvincial Health Office of Palawan, Puerto Princesa, Philippines.
Dean Lim PalancaCity Health Office of Puerto Princesa City, Puerto Princesa, Philippines.
Hee Jin KimKorean Institute of Tuberculosis, Cheongju, Republic of Korea.
Nobuyuki NishikioriWorld Health Organization Regional Office for the Western Pacific, Manila, Philippines.
World Health Organization - Philippines · PHPalawan State University · PHWorld Health Organization Regional Office for the Western Pacific · PHDepartment of Health · PH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundGlobally, case detection of tuberculosis (TB) has stabilized in recent years. Active case finding (ACF) has regained an increased attention as a complementary strategy to fill the case detection gap. In the Philippines, the DetecTB project implemented an innovative ACF strategy that offered a one-stop diagnostic service with a mobile unit equipped with enhanced diagnostic tools including chest X-ray (CXR) and Xpert®MTB/RIF (Xpert). The project targeted the rural poor, the urban poor, prison inmates, indigenous population and high school students.

methodsThis is a retrospective review of TB screening data from 25,103 individuals. A descriptive analysis was carried out to compare screening and treatment outcomes across target populations. Univariate and multivariate analyses were performed to identify predictors of TB for each population. The composition of bacteriologically-confirmed cases by smear and symptom status was further investigated.

resultsThe highest yield with lowest number needed to screen (NNS) was found in prison (6.2%, NNS: 16), followed by indigenous population (2.9%, NNS: 34), the rural poor (2.2%, NNS: 45), the urban poor (2.1%, NNS: 48), and high school (0.2%, NNS: 495). The treatment success rate for all populations was high with 89.5% in rifampicin-susceptible patients and 83.3% in rifampicin-resistant patients. A relatively higher loss to follow-up rate was observed in indigenous population (7.5%) and the rural poor (6.4%). Only cough more than two weeks showed a significant association with TB diagnosis in all target populations (Adjusted Odds Ratio ranging from 1.71 to 6.73) while other symptoms and demographic factors varied in their strength of association. The urban poor had the highest proportion of smear-positive patients with cough more than two weeks (72.0%). The proportion of smear-negative (Xpert-positive) patients without cough more than two weeks was the highest in indigenous population (39.3%), followed by prison inmates (27.7%), and the rural poor (22.8%).

conclusionsThe innovative ACF strategy using mobile unit yielded a substantial number of TB patients and achieved successful treatment outcomes. TB screening in prison, indigenous population, and urban and rural poor communities was found to be effective. The combined use of CXR and Xpert largely contributed to increased case detection.

Indexed as

Mass ScreeningMobile Health UnitsAdolescentAdultAgedHumansMaleMiddle AgedPhilippinesPrisonersRetrospective StudiesRisk FactorsRural PopulationTuberculosis, PulmonaryUrban PopulationVulnerable Populations

Identifiers

PMID28152082
PMCPMC5289556
OpenAlexW2584159219

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.