Evidence map›Paper›PMID 35399179›Full record

ArticleCancer diagnosis & prognosis

Efficacy of Pre-operative 18F-FDG PET/CT in Prognostic Prediction in Patients With Renal Cell Carcinoma.

Masafumi Toguchi, Kousei Ishigami, Masato Goya, Seiichi Saito, Sadayuki Murayama, Akihiro Nishie

Open access · greenAbstract read
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Prognostic Significance ofMolecular imaging and radionuclide therapy · 2022
    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

6 authors at 2 institutions in 1 country.

Masafumi ToguchiDepartment of Radiology, Miyako Prefectural Hospital, Okinawa, Japan.
Kousei IshigamiDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Masato GoyaGraduate School of Medical Science, University of the Ryukyus, Department of Urology, Okinawa, Japan.
Seiichi SaitoGraduate School of Medical Science, University of the Ryukyus, Department of Urology, Okinawa, Japan.
Sadayuki MurayamaDepartment of Radiology, Urasoe General Hospital, Okinawa, Japan.
Akihiro NishieGraduate School of Medical Science, University of the Ryukyus, Department of Radiology, Okinawa, Japan.
Kyushu University · JPUrasoe General Hospital

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: This study analyzed the parameters provided by preoperative Patients and Methods: FDG-PET/CT data from 66 clear cell RCC and 19 non-clear cell RCC cases between January 2015 and October 2018 were reviewed retrospectively. We compared the two groups according to recurrence/metastasis to determine prognosis-influencing factors. Multivariate Cox hazard regression models were constructed to evaluate factors potentially predicting disease-free survival (DFS) after adjustment for confounders. DFS was then compared between groups. Results: Standardized uptake values (SUV) of the PET/CT scan were independent predictors of prognosis after adjusting for confounders. RCC cases were divided into two groups by optimal cut-off values. Differences between DFS percentages in high and low SUV groups were significant. Similar results were obtained in clear cell RCC groups. Conclusion: Increased SUV of the PET/CT scan are significant predictors of worse prognoses in patients with surgically resected RCC.

Indexed as

CTdisease-free survivalPETprognosisRenal cell carcinoma

Identifiers

PMID35399179
PMCPMC8962815
OpenAlexW4214672125

What OpenQuestion holds

Textmetadata
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.