Evidence map›Paper›PMID 25779055›Full record

ArticleScientific reports2015

Age-dependent association between sex and renal cell carcinoma mortality: a population-based analysis.

Yuanyuan Qu, Haitao Chen, Weijie Gu, Chengyuan Gu, Hailiang Zhang, Jianfeng Xu, Yao Zhu, Dingwei Ye

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 44 citations in OpenAlex.

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  12. [Clinicopathological features and prognostic analysis of papillary renal cell carcinoma].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2022
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  17. Growth Rates of Genetically Defined Renal Tumors: Implications for Active Surveillance and Intervention.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
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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

8 authors at 3 institutions in 1 country.

Yuanyuan Qu1] Department of Urology, Fudan University Shanghai Cancer Center, Shanghai. 200032, China [2] Department of Oncology, Shanghai Medical College, Fudan University, Shanghai. 200032, China.
Haitao ChenState Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai. 200032, China.
Weijie Gu1] Department of Urology, Fudan University Shanghai Cancer Center, Shanghai. 200032, China [2] Department of Oncology, Shanghai Medical College, Fudan University, Shanghai. 200032, China.
Chengyuan Gu1] Department of Urology, Fudan University Shanghai Cancer Center, Shanghai. 200032, China [2] Department of Oncology, Shanghai Medical College, Fudan University, Shanghai. 200032, China.
Hailiang Zhang1] Department of Urology, Fudan University Shanghai Cancer Center, Shanghai. 200032, China [2] Department of Oncology, Shanghai Medical College, Fudan University, Shanghai. 200032, China.
Jianfeng Xu1] State Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai. 200032, China [2] Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai. 200032, China [3] Department of Urology, Huashan Hospital, Fudan University, Shanghai. 200032, China [4] Center for Cancer Genomics, Wake Forest School of Medicine, Winston-Salem, NC, U.S.A.
Yao Zhu1] Department of Urology, Fudan University Shanghai Cancer Center, Shanghai. 200032, China [2] Department of Oncology, Shanghai Medical College, Fudan University, Shanghai. 200032, China.
Dingwei Ye1] Department of Urology, Fudan University Shanghai Cancer Center, Shanghai. 200032, China [2] Department of Oncology, Shanghai Medical College, Fudan University, Shanghai. 200032, China.
Fudan University Shanghai Cancer Center · CNFudan University · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on sex differences in renal cancer-specific mortality (RCSM), which considered the sex effect to be constant throughout life, has yielded conflicting results. This study hypothesized the sex effect may be modified by age, which is a proxy for hormonal status. Data from the Surveillance, Epidemiology and End Results database (1988-2010) were used to identify 114,539 patients with renal cell carcinoma (RCC). The study cohort was divided into three age groups using cutoffs of 42 and 58 years, which represent the premenopausal and postmenopausal periods. The cumulative incidence function and competing risks analyses were used to examine the effect of covariates on RCSM and other-cause mortality (OCM). In premenopausal period, male sex was a significant predictor of poor RCSM for both localized (adjusted subdistribution hazard ratio [aSHR] = 1.63, P = 0.002) and advanced (aSHR = 1.20, P = 0.041) disease. In postmenopausal period, the sex disparity diminished (aSHR = 1.05, P = 0.16) and reversed (aSHR = 0.95, P = 0.017) in localized and advanced disease, respectively. On the contrary, similar trend was not found for OCM across all age groups. Our results demonstrated the sex effect on RCSM was strongly modified by age. These findings may aid in clinical practice and need further evaluation of underlying biological mechanisms.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsCarcinoma, Renal CellCause of DeathFemaleHumansIncidenceKidney NeoplasmsMaleMiddle AgedMortalityNeoplasm GradingNeoplasm Staging

Identifiers

PMID25779055
PMCPMC4361860
OpenAlexW2028198448

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.