Evidence map›Paper›PMID 32332797›Full record

ArticleScientific reports2020

The number of metabolic features as a significant prognostic factor in patients with metastatic renal cell carcinoma.

Hyeong Dong Yuk, Eu Chang Hwang, Jae Young Park, Chang Wook Jeong, Cheryn Song, Seong Il Seo, Seok-Soo Byun, Cheol Kwak, Sung-Hoo Hong, Minyong Kang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Role of Metabolic Factors in Renal Cancers.International journal of molecular sciences · 2020
    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

12 authors at 8 institutions in 1 country.

Hyeong Dong YukDepartment of Urology, Seoul National University Hospital, Seoul, Korea.ORCID http://orcid.org/0000-0002-5874-9167
Eu Chang HwangDepartment of Urology, Chonnam National University Hwasun Hospital, Hwasun, Korea.ORCID http://orcid.org/0000-0002-2031-124X
Jae Young ParkDepartment of Urology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea.
Chang Wook JeongDepartment of Urology, Seoul National University Hospital, Seoul, Korea.
Cheryn SongDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Seong Il SeoDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Seok-Soo ByunDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.
Cheol KwakDepartment of Urology, Seoul National University Hospital, Seoul, Korea.
Sung-Hoo HongDepartment of Urology, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Minyong KangDepartment of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jinsoo ChungDepartment of Urology, National Cancer Center, Goyang, Korea.
Hakmin LeeDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea. 65828@snubh.org.ORCID http://orcid.org/0000-0002-1247-9958
Seoul National University Hospital · KRSamsung Medical Center · KRSeoul National University Bundang Hospital · KRCatholic University of Korea · KRChonnam National University Hwasun Hospital · KRKorea University · KRNational Cancer Center · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of metabolic characteristics on the prognosis of patients with metastatic renal cell carcinoma remains controversial. We investigated the associations between metabolic features of each individual and disease prognosis in patients with metastatic renal cell carcinoma. Data of 1,584 patients with metastatic renal cell carcinoma from a multi-institutional database were retrospectively analyzed. The entire cohort was stratified into three subgroups according to how many patients had abnormal metabolic features (hypertension, diabetes mellitus, and low body mass index). The Kaplan-Meier and Cox proportional analyses were performed to investigate the associations between abnormal metabolic features and disease prognosis. mThere were 465 subjects without any metabolic features, 995 with one or two, and 124 with three. When the survival outcomes were compared according to the number of metabolic features, patients with higher numbers of metabolic features had significantly shorter overall and cancer-specific survival than those with fewer metabolic features (all p values <0.05). The multivariate Cox analysis showed that the number of metabolic features was an independent predictor for shorter cancer-specific and overall survival (all p values < 0.05). When performing subgroup analysis according to the cellular type, significant results were only obtained among the clear cell subtype subgroup, with the association not being significant in the non-clear cell subtype cohort. Patients with more metabolic features had significantly worse survival outcomes than those with fewer metabolic features. However, the association was only statistically significant in patients with clear cell-type metastatic renal cell carcinoma.

Indexed as

AgedCarcinoma, Renal CellHumansKaplan-Meier EstimateKidney NeoplasmsMiddle AgedNephrectomyPrognosisProportional Hazards ModelsRetrospective Studies

Identifiers

PMID32332797
PMCPMC7181597
OpenAlexW3017392316

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.