Evidence map›Paper›PMID 37455263›Full record

ArticleJournal of the Egyptian National Cancer Institute2023

Fluorodeoxyglucose positron emission tomography (18F-FDG PET)-computed tomography (CT) in the initial staging of bladder cancer: a single institution experience.

Mohammed Shahait, Ramiz Abu-Hijlih, Ala'a Farkouh, Shahed Obeidat, Samer Salah, Ahmed Saad Abdlkadir, Akram Al-Ibraheem

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

Article in Journal of the Egyptian National Cancer Institute, 2023. 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
2.9field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Diagnostic efficacy of [Discover oncology · 2025
    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

7 authors at 2 institutions in 1 country.

Mohammed ShahaitSurgery Department, Clemenceau Medical Center, Dubai, United Arab Emirates.
Ramiz Abu-HijlihRadiation Oncology Department, King Hussein Cancer Center, Amman, Jordan.
Ala'a FarkouhSurgery Department, King Hussein Cancer Center, Amman, Jordan.
Shahed ObeidatNuclear Medicine Department, King Hussein Cancer Center (KHCC), P.O. Box 1269, Al-Jubeiha, Amman, 11941, Jordan.
Samer SalahMedical Oncology Department, King Hussein Cancer Center, Amman, Jordan.
Ahmed Saad AbdlkadirNuclear Medicine Department, King Hussein Cancer Center (KHCC), P.O. Box 1269, Al-Jubeiha, Amman, 11941, Jordan.
Akram Al-IbraheemNuclear Medicine Department, King Hussein Cancer Center (KHCC), P.O. Box 1269, Al-Jubeiha, Amman, 11941, Jordan. akramalibrahim@gmail.com.ORCID http://orcid.org/0000-0002-0978-4716
King Hussein Cancer Center · JOUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to assess the usefulness of fluorodeoxyglucose positron emission tomography (

methodsA total of 133 patients with bladder cancer who had both conventional imaging and

resultsThe overall concordance rate between PET/CT and conventional imaging was around 54%. On conventional images, 18% of patients had localized disease, which was upstaged in 6.8% of cases using

conclusionsThe study found that

Indexed as

Fluorodeoxyglucose F18Urinary Bladder NeoplasmsHumansNeoplasm StagingPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsTomography, X-Ray ComputedFluorodeoxyglucose F18RadiopharmaceuticalsBladder cancerConventional imagingPET scanStaging

Identifiers

PMID37455263
PMCPMC13313970
OpenAlexW4384465803

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.