Evidence map›Paper›PMID 31868151›Full record

ReviewCurrent radiopharmaceuticals2020

FDG PET/CT in the Staging of Lung Cancer.

Mohsen Farsad

Open access · greenAbstract readReview
In one paragraph

Review in Current radiopharmaceuticals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. [Frontiers in medicine · 2024
    Pooled it
  2. Pooled it
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  15. Evaluation of the efficacy ofFrontiers in oncology · 2025
    Article
  16. Article
  17. Predicting response and survival to first-line treatment with baseline [Therapeutic advances in medical oncology · 2025
    Article
  18. Review
  19. Article
  20. Uncertainty-aware automatic TNM staging classification for [BMC medical informatics and decision making · 2024
    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

1 author at 1 institution in 1 country.

Mohsen FarsadDepartment of Nuclear Medicine, Central Hospital of Bolzano, Via Lorenz Böhler 5, 39100 Bolzano, Bozen, Italy.
Ospedale di Bolzano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate staging is crucial for the proper management of patients with nonsmall cell lung cancer, especially for choosing the best treatment strategy. Different Imaging methods are used to stage patients with non-small cell lung cancer. In the last two decades, FDG PET/CT is carried out in almost all the main Hospitals around the world in this setting.

objectiveThe aim of this paper is to focus on the value of integrated FDG PET/CT in the TNM staging of the non-small cell lung cancer.

methodsA non-systematic revision of the literature was performed in order to identify all papers about the role of FDG PET/CT in the evaluation of non-small cell lung cancer and to highlight the value of FDG PET/CT in this setting.

resultsMany data are now available about this topic, including also randomized controlled trials. FDG PET/CT is of limited added value in the characterization of T status but it increases the diagnostic accuracy for the assessment of the nodal status. The main advantage of FDG PET/CT over conventional imaging methods is its higher sensitivity in identifying extra-thoracic metastases, especially bone and adrenal lesions.

conclusionPET/CT with FDG should be included in the diagnostic work-up of patients with lung cancer, because it provides useful information for appropriate therapy.

Indexed as

Positron Emission Tomography Computed TomographyCarcinoma, Non-Small-Cell LungFluorodeoxyglucose F18HumansLung NeoplasmsRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticalsdiagnostic workupFDGimagingLung cancerPET/CTstagingtherapy

Identifiers

PMID31868151
PMCPMC8206197
OpenAlexW2998296854

What OpenQuestion holds

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LicenceCC BY-NC
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.