ArticleEuropean journal of nuclear medicine and molecular imaging2019
Correction to: Digital vs. analog PET/CT: intra-subject comparison of the SUVmax in target lesions and reference regions.
Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Comparative Diagnostic Performance of Digital Versus Analog PET/CT for Lymph Node Metastases and Glut-1 Correlation in Resected Non-Small Cell Lung Cancer.Cancer management and research · 2025Article
- Reply to the letter.European journal of nuclear medicine and molecular imaging · 2019Article
Corrections and comments
- Erratum for
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The article Digital vs. analog PET/CT: intra-subject comparison of the SUVmax in target lesions and reference regions, written by Francisco Fuentes-Ocampo, Diego Alfonso López-Mora, Albert Flotats, Gabriela Paillahueque.
Identifiers
30739142What OpenQuestion holds
Registered trials
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.