Evidence map›Paper›PMID 38914470›Full record

ArticleThorax2024

A structural and metabolic framework for classifying pre-clinical tuberculosis infection phenotypes using 18F-FDG PET-CT: a prospective cohort analysis following

Jee Whang Kim, Sonam Vadera, Meedya Sharifpour, Amrita Bajaj, Anver Kamil, Pranabashis Haldar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Thorax, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Jee Whang KimNIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, University of Leicester, Leicester, UK jwk12@leicester.ac.uk.ORCID 0000-0002-3063-2995
Sonam VaderaDepartment of Nuclear Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK.
Meedya SharifpourDepartment of Nuclear Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK.
Amrita BajajDepartment of Nuclear Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK.
Anver KamilDepartment of Nuclear Medicine, University Hospitals of Leicester NHS Trust, Leicester, UK.
Pranabashis HaldarNIHR Leicester Biomedical Research Centre, Department of Respiratory Sciences, University of Leicester, Leicester, UK.ORCID 0000-0002-1572-5421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) control efforts are limited by ineffective characterisation of tuberculosis infection (TBI) -a heterogeneous spectrum of pre-clinical infection states, invisible to tools of routine clinical screening, that are associated with variable risk of progression to TB disease. In this prospective study, we use positron emission tomography-CT (PET-CT) as a high-resolution imaging modality to characterise and classify structural and metabolic features observed in 16 asymptomatic household TB contacts with normal chest radiographs. We identify four feature patterns that associate with distinct clinical and microbiological outcomes, supporting potential utility of PET-CT for objective classification of TBI phenotypes.

Indexed as

Fluorodeoxyglucose F18PhenotypePositron Emission Tomography Computed TomographyRadiopharmaceuticalsAdultFemaleHumansMaleMiddle AgedMycobacterium tuberculosisProspective StudiesTuberculosisTuberculosis, PulmonaryFluorodeoxyglucose F18RadiopharmaceuticalsImaging/CT MRI etcTuberculosis

Identifiers

PMID38914470
PMCPMC11671945

What OpenQuestion 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 OpenQuestion graph.