Evidence map›Paper›PMID 35114747›Full record

ArticleMolecular imaging and radionuclide therapy2022

The Evaluation of Preoperative

Özge Vural Topuz, Ayşegül Aksu, Sadife Rüya Erinç, Nedim Tokgözoğlu, Müge Öner Tamam

Open access · diamondAbstract read
In one paragraph

Article in Molecular imaging and radionuclide therapy, 2022. 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
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Potential of Lean Body MassMolecular imaging and radionuclide therapy · 2026
    Article
  2. A radiogenomics study onBMC cancer · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Özge Vural TopuzUniversity of Health Sciences Turkey, Prof. Dr. Cemil Taşçıoğlu City Hospital, Clinic of Nuclear Medicine, İstanbul, Turkey.ORCID 0000-0001-7197-5866
Ayşegül AksuUniversity of Health Sciences Turkey, Başakşehir Çam and Sakura City Hospital, Clinic of Nuclear Medicine, İstanbul, Turkey.ORCID 0000-0002-6239-0660
Sadife Rüya ErinçUniversity of Health Sciences Turkey, Prof. Dr. Cemil Taşçıoğlu City Hospital, Clinic of Nuclear Medicine, İstanbul, Turkey.ORCID 0000-0001-5020-6881
Nedim TokgözoğluUniversity of Health Sciences Turkey, Prof. Dr. Cemil Taşçıoğlu City Hospital, Clinic of Gynecology and Obstetrics, İstanbul, Turkey.ORCID 0000-0002-5727-864X
Müge Öner TamamUniversity of Health Sciences Turkey, Prof. Dr. Cemil Taşçıoğlu City Hospital, Clinic of Nuclear Medicine, İstanbul, Turkey.ORCID 0000-0002-3793-0178
Sağlık Bilimleri Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEndometrial cancer (EC) is the most common gynecological malignancy. The

methodsPreoperative PET/CT data of 66 patients with EC were retrospectively analyzed. Patients were divided into low and high-risk groups according to the European Society for Medical Oncology criteria. The maximum standardized uptake value (SUV

resultsThe SUV

conclusionSUV and volumetric parameters obtained from PET/CT, especially TLG, are strong predictors of tumor characteristics, such as MI and CSI, FIGO stages, and LNM, and are useful in noninvasively defining the risk groups in the preoperative period.

Indexed as

18F-FDG PET/CTEndometrial cancerSUVmaxvolumetric parameters

Identifiers

PMID35114747
PMCPMC8814556
OpenAlexW4210398207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.