Evidence map›Paper›PMID 39075378›Full record

SynthesisBMC public health2024

FDG-PET-CT as an early detection method for tuberculosis: a systematic review and meta-analysis.

Josef Yayan, Kurt Rasche, Karl-Josef Franke, Wolfram Windisch, Melanie Berger

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  5. Article
  6. Review
  7. 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

5 authors.

Josef YayanDepartment of Internal Medicine, Division of Pulmonary, Allergy and Sleep Medicine, Witten/Herdecke University, HELIOS Clinic Wuppertal, Heusnerstr. 40, 42283, Wuppertal, Germany. josef.yayan@hotmail.com.
Kurt RascheDepartment of Internal Medicine, Division of Pulmonary, Allergy and Sleep Medicine, Witten/Herdecke University, HELIOS Clinic Wuppertal, Heusnerstr. 40, 42283, Wuppertal, Germany.
Karl-Josef FrankeUniversity of Witten/Herdecke Chair of Internal Medicine I Department of Pulmonary Medicine, Clinical Center Siegen, Siegen, Germany.
Wolfram WindischDepartment of Pneumology, Cologne Merheim Hospital, Witten/Herdecke University, Cologne, Germany.
Melanie BergerDepartment of Pneumology, Cologne Merheim Hospital, Witten/Herdecke University, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) causes major public health problems worldwide. Fighting TB requires sustained efforts in health prevention, diagnosis and treatment. Previous literature has shown that conventional diagnostic methods like X-ray and sputum microscopy often miss early or extrapulmonary TB due to their limited sensitivity. Blood tests, while useful, lack the anatomical detail needed for precise localization of TB lesions. A possible step forward in the fight against TB could be the use of Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) and Computed Tomography (CT). This meta-analysis discusses the current literature, including the methods, results and implications of using FDG-PET-CT in the early diagnosis of TB. Analysis of the studies showed that the sensitivity of FDG-PET-CT as a potential method for early detection of TB was 82.6%.

Indexed as

Early DiagnosisFluorodeoxyglucose F18Positron Emission Tomography Computed TomographyTuberculosisHumansSensitivity and SpecificityFluorodeoxyglucose F1818 F-FluorodeoxyclucoseComputed TomographyDiagnostic accuracyEarly detectionPositron Emission TomographyTuberculosis

Identifiers

PMID39075378
PMCPMC11285570

What OpenQuestion holds

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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.