Evidence map›Paper›PMID 37627898›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Comparable Accuracy of Quantitative and Visual Analyses of [

Philippe d'Abadie, Nicolas Michoux, Thierry Duprez, Sandra Schmitz, Michèle Magremanne, Pascal Van Eeckhout, Olivier Gheysens

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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
–field-weighted citation impact, top 71% 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, 0 citations in OpenAlex.

  1. Diagnostic and Economic Evaluation of [Journal of clinical medicine · 2026
    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

7 authors at 1 institution in 1 country.

Philippe d'AbadieDepartment of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium.ORCID 0000-0002-7725-2527
Nicolas MichouxDepartment of Radiology, Cliniques Universitaires Saint-Luc, Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium.
Thierry DuprezDepartment of Radiology, Cliniques Universitaires Saint-Luc, Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium.
Sandra SchmitzDepartment of Head and Neck Surgery, Cliniques Universitaires Saint-Luc, Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium.ORCID 0000-0002-9943-2078
Michèle MagremanneDepartment of Stomatology and Maxillofacial Surgery, Cliniques Universitaires Saint-Luc, Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium.
Pascal Van EeckhoutDepartment of Pathology, Cliniques Universitaires Saint-Luc, Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium.
Olivier GheysensDepartment of Nuclear Medicine, Cliniques Universitaires Saint-Luc, Institut Roi Albert II, Université Catholique de Louvain, 1200 Brussels, Belgium.
Cliniques Universitaires Saint-Luc · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn head and neck squamous cell carcinoma (HNSCC), [

methodsWe analyzed consecutive patients who underwent a preoperative [

resultsIn our 211 patients, analyses demonstrated similar diagnostic accuracy using a semi-quantitative approach or a visual grading system. Regarding the visual grading system, [

conclusions[

Indexed as

diagnostic accuracyFDG PET/CThead and neck squamous cell carcinomanodal stagingTNM classification

Identifiers

PMID37627898
PMCPMC10453437
OpenAlexW4385741222

What OpenQuestion holds

Textmetadata
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.