Evidence map›Paper›PMID 39440335›Full record

SynthesisJournal of medicine and life2024

Diagnostic accuracy of active pulmonary tuberculosis screening during detention admission: a systematic review.

Stephanie Pape, Kabiru Gulma, Siddharudha Shivalli, Laurent Cleenewerck de Kiev

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medicine and life, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Stephanie PapeDepartment of Global Health, Euclid University, Bangui, Central African Republic.
Kabiru GulmaDepartment of Global Health, Euclid University, Bangui, Central African Republic.
Siddharudha ShivalliDepartment of Global Health, Euclid University, Bangui, Central African Republic.
Laurent Cleenewerck de KievDepartment of Global Health, Euclid University, Bangui, Central African Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals entering incarceration are at high risk for infectious diseases, other ill conditions, and risky behavior. Typically, the status of active pulmonary tuberculosis (PTB) is not known at the time of admission. Early detection and treatment are essential for effective TB control. So far, no study has compared the diagnostic accuracy of various TB screening tools in detention using a network meta-analysis (NMA). We aimed to investigate the diagnostic accuracy of active PTB screening tests upon detention admission. We searched PubMed, Global Index Medicus, the Cochrane Library electronic databases, and grey literature for publications reporting detention TB entry screening in March 2022 and January 2024. Inclusion was non-restrictive regarding time, language, location, reference standards, or screening tests. Eligible study designs comprised comparative, observational, and diagnostic studies. Publications had to report TB screening of individuals entering confinement and provide data for diagnostic accuracy calculations. The QUADAS-2 tool was designed to assess the quality of primary diagnostic accuracy studies. This systematic review was registered with PROSPERO (CRD42022307863) and conducted without external funding. We screened a total of 2,455 records. Despite extensive searching, no studies met our inclusion criteria. However, we identified evidence revealing key differences in screening algorithm application. In conclusion, more diagnostic accuracy data on TB screening algorithms for detention admission worldwide needs to be collected. We recommend that global TB initiatives set up multi-site studies to investigate the diagnostic accuracy of TB screening on admission in low- and high-prevalence criminal justice systems. Further network meta-analyses of these studies could inform policymakers and public health experts to establish or fine-tune TB control in detention settings.

Indexed as

Mass ScreeningPrisonersTuberculosis, PulmonaryHumans95% CI, 95% Confidence IntervalsAUC, Area Under the CurveBCG, Bacille Calmette-GuérinCXR, Chest RadiographyDOTS, Directly Observed Therapy Shortcourseearly diagnosisECDC, European Centre for Disease Prevention and ControlEPTB, Extrapulmonary TuberculosisFL LPA, First-Line Line Probe AssayFN, False NegativeFP, False PositiveH0, Null HypothesisH1, Alternative HypothesisHBC, High-Burden CountryHIV, Human Immunodeficiency VirusIGRA, Interferon-Gamma Release AssayLAM, LipoarabinomannanLMICs, Low- and Middle-Income CountriesLPA, Line Probe AssayLTBI, Latent Tuberculosis Infectionmass screeningMDR TB, Multidrug-Resistant TuberculosisNAAT, Nucleic Acid Amplification TestNMA, Network Meta-AnalysisPICOS, Population, Intervention, Comparison, Outcomes, SettingPRISMA, Preferred Reporting Items for Systematic Reviews and Meta-AnalysesprisonsPROSPERO, International Prospective Register of Systematic ReviewsPTB, Pulmonary TuberculosisQUADAS-2, Quality Assessment of Diagnostic Accuracy Studies (Revised Tool)ROC, Receiver Operating Characteristicsensitivity and specificityTB-LAMP, Loop-Mediated Isothermal AmplificationTB, TuberculosisTN, True NegativeTP, True PositiveTST, Tuberculosis Skin Test (Mendel-Mantoux Test)tuberculosisWHO, World Health Organization

Identifiers

PMID39440335
PMCPMC11493172

What Socratic holds

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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 Socratic graph.