Evidence map›Paper›PMID 37864712›Full record

ArticlePediatric radiology2023

Ultrasound and magnetic resonance imaging in thoracic tuberculosis in the pediatric population: moving beyond conventional radiology.

Kushaljit Singh Sodhi, Supika Kritsaneepaiboon, Manisha Jana, Anmol Bhatia

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 3 countries.

Kushaljit Singh SodhiMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA. sodhiks@gmail.com.ORCID http://orcid.org/0000-0001-6419-2468
Supika KritsaneepaiboonSection of Pediatric Imaging, Department of Radiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand.ORCID http://orcid.org/0000-0002-7749-5908
Manisha JanaDepartment of Radiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.ORCID http://orcid.org/0000-0001-7449-6596
Anmol BhatiaDepartment of Radiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.ORCID http://orcid.org/0000-0003-4630-5742
All India Institute of Medical Sciences · INMallinckrodt (United States) · USPrince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging is crucial in the diagnostic work-up and follow-up after treatment in children with thoracic tuberculosis (TB). Despite various technological advances in imaging modalities, chest radiography is the primary imaging modality for initial care and in emergency settings, especially in rural areas and where resources are limited. Ultrasonography (US) of the thorax in TB is one of the emerging applications of US as a radiation-free modality in children. Magnetic resonance imaging (MRI) is the ideal radiation-free, emerging imaging modality for thoracic TB in children. However, only limited published data is available regarding the utility of MRI in thoracic TB. In this pictorial review, we demonstrate the use of US and rapid lung MRI in evaluating children with thoracic TB, specifically for mediastinal lymphadenopathy and pulmonary complications of TB.

Indexed as

RadiologyTuberculosisChildHumansMagnetic Resonance ImagingRadiographyUltrasonographyChildrenMagnetic resonance imagingThoraxTuberculosisUltrasonography

Identifiers

PMID37864712
OpenAlexW4387848315

What OpenQuestion holds

Textmetadata
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.