Evidence map›Paper›PMID 36624819›Full record

ReviewEuropean journal of radiology open2023

Imaging modalities for pulmonary tuberculosis in children: A systematic review.

Erle Opdahl Tonne, Marie Øbro Fosbøl, Anja Poulsen, Ulrikka Nygaard, Liselotte Højgaard, Lise Borgwardt

Open access · goldAbstract readReview
In one paragraph

Review in European journal of radiology open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Erle Opdahl TonneDepartment of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
Marie Øbro FosbølDepartment of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
Anja PoulsenGlobal Health Unit, Department of Paediatrics and Adolescent Medicine, Rigshospitalet, University of Copenhagen, Denmark.
Ulrikka NygaardDepartment of Paediatrics and Adolescent Medicine, Rigshospitalet, University of Copenhagen, Denmark.
Liselotte HøjgaardDepartment of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
Lise BorgwardtDepartment of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Denmark.
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The optimal choice of protocol for diagnostic imaging in children with tuberculosis (TB) is a contemporary challenge due to the war in Ukraine, which potentially can create a steep rise in TB cases in Western Europe. We aimed to gather all primary research comparing imaging modalities and their diagnostic accuracies for pulmonary findings in children with suspected or confirmed pulmonary tuberculosis (PTB). Method: We searched the databases PubMed and Embase using pre-specified search terms, for English- and non-English published and un-published reports from the period 1972 to 2022. We retrieved reports via citation search in excluded literature reviews and systematic reviews. Studies were eligible if most of the study population was between 0 and 18 years of age with confirmed or suspected PTB, and study participants had described diagnostic images from two or more different imaging modalities. Results: A total of 15 studies investigated conventional chest X-Ray (CXR) and computed tomography (CT) in diagnosing PTB in children. Nine studies investigated the number of participants in where CT or CXR confirmed the diagnosis of TB, and all of them, including a total of 1244 patients, reported that findings compatible with TB were more frequently detected on CT than CXR. Only two studies did not include radiological findings as part of their diagnostic criteria for PTB, and combined they showed that CT diagnosed 54/54 (100 %) children with confirmed PTB, while CXR diagnosed 42/54 (78 %). Two studies compared magnetic resonance imaging (MRI) with CXR and showed that MRI diagnosed more children with PTB than CXR. One study reported a higher positive predictive value (PPV), sensitivity and specificity for PTB findings for MRI than CXR. One study compared CXR with high-kilovolt (high-kV) CXR, finding compatible sensitivity and specificity regarding confirmation of PTB. Two studies compared ultrasound (US) with CXR and found that US had a higher diagnostic yield and more often correctly identified consolidations, mediastinal LAP, and pleural effusion. Conclusion: CT showed a higher diagnostic accuracy for PTB findings than CXR, MRI and US, and should be the imaging modality of first choice when available. MRI had a higher sensitivity and specificity than CXR for LAP, pleural effusion, and cavitation. US was complimentary in initial diagnostic work-up and follow up. A diagnostic strategy for PTB in children according to local availability and expertise is proposed, as no evidence from this systematic review shows otherwise, in acknowledgement of the expertise in high TB-burdened countries. CT can be performed when in doubt, due to the higher diagnostic yield.

Indexed as

ChildCTCT, computed tomographyCXR, chest x-rayDiagnostic imagingEPTB, extrapulmonary tuberculosisLAP, lymphadenopathyMRI, magnetic resonance imagingNPV, negative predictive valuePCR, polymerase chain reactionPET, positron emission tomographyPPD, purified protein derivativePPV, positive predictive valuePTBPTB, pulmonary tuberculosisPulmonary tuberculosisSystematic reviewTBTB, tuberculosisTST, tuberculin skin testUS, ultrasound

Identifiers

PMID36624819
PMCPMC9823145
OpenAlexW4313479753

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.