Evidence map›Paper›PMID 38795287›Full record

ArticleJapanese journal of radiology2024

Efficacy of

Hiromi Hirasawa, Ayako Taketomi-Takahashi, Natsumi Katsumata, Tetsuya Higuchi, Yoshitaka Sekine, Kazuhiro Suzuki, Yoriaki Kaneko, Keiju Hiromura, Yasuhiro Fukushima, Yoshito Tsushima

Abstract read
In one paragraph

Article in Japanese journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Role ofJapanese journal of radiology · 2025
    Review
  4. 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

10 authors.

Hiromi HirasawaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan. h.hirasawa@gunma-u.ac.jp.ORCID http://orcid.org/0000-0003-1412-9190
Ayako Taketomi-TakahashiDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan.
Natsumi KatsumataDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan.
Tetsuya HiguchiDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan.
Yoshitaka SekineDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Kazuhiro SuzukiDepartment of Urology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Yoriaki KanekoDepartment of Nephrology and Rheumatology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Keiju HiromuraDepartment of Nephrology and Rheumatology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Yasuhiro FukushimaDepartment of Applied Medical Imaging, Gunma University Graduate School of Medicine, Maebashi, Japan.
Yoshito TsushimaDepartment of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, 3-39-22 Showa, Maebashi, Gunma, 371-8511, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDialysis patients are at an increased risk of developing renal cell carcinoma (RCC); however, differentiating between RCC and benign cysts can sometimes be difficult using modalities, such as computed tomography (CT) and ultrasonography. MATERIALS AND

methodsThis prospective study recruited 150 participants from 2012 to 2016 who were on dialysis or underwent renal transplantation and were on dialysis until transplantation. FDG-PET/CT was performed to screen for RCC. Three radiologists independently evaluated the images. No protocol was defined for the additional management of positive examinations, leaving decisions to the discretion of each participant. Negative examinations were observed until the end of 2019.

resultsIn total, 150 participants (mean age, 58 ± 13 years; 105 men) underwent FDG-PET/CT. Twenty patients (13.4%) were diagnosed as positive. Fifteen patients underwent additional examinations and/or procedures, and RCC was found in seven patients. Of the four patients who underwent surgical resection, the pathological results were clear cell RCC in one, papillary RCC in one, and acquired cystic disease-associated RCC in two. Two participants were diagnosed with RCC on bone biopsy, and one was diagnosed on dynamic CT but opted for observation. The sensitivity, specificity, and negative predictive value were 100%, 93.9%, and 100%, respectively.

conclusionFDG-PET/CT was useful for detecting RCC in patients with end-stage renal disease. Our findings show the potential use of FDG-PET/CT as a screening tool for RCC in this patient population.

Indexed as

Carcinoma, Renal CellFluorodeoxyglucose F18Kidney Failure, ChronicKidney NeoplasmsPositron Emission Tomography Computed TomographyRadiopharmaceuticalsAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesReproducibility of ResultsSensitivity and SpecificityFluorodeoxyglucose F18RadiopharmaceuticalsEnd-stage renal diseaseFDG-PET/CTRenal cell carcinomaScreening

Identifiers

PMID38795287
PMCPMC11442643

What Socratic 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 Socratic graph.