Evidence map›Paper›PMID 39450304›Full record

ArticleJournal of renal cancer2020

A Comprehensive Analysis of the Effect of Histological Subtypes on the Survival Probability of Kidney Carcinoma Patients: A Hypertabastic Survival Analysis.

Mohammad Tabatabai, Stephanie Bailey, Patricia Matthews-Juarez, Habib Tabatabai, Nader Bahri, Lyle Cooper, Derek Wilus, Karan Singh, Paul Juarez

Abstract read
In one paragraph

Article in Journal of renal cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Mohammad TabatabaiMeharry Medical College, Nashville, USA.
Stephanie BaileyMeharry Medical College, Nashville, USA.
Patricia Matthews-JuarezMeharry Medical College, Nashville, USA.
Habib TabatabaiUniversity of Wisconsin Milwaukee, Milwaukee, USA.
Nader BahriMeharry Medical College, Nashville, USA.
Lyle CooperMeharry Medical College, Nashville, USA.
Derek WilusMeharry Medical College, Nashville, USA.
Karan SinghUniversity of Texas Health Sciences Center, Tyler, USA.
Paul JuarezMeharry Medical College, Nashville, USA.

Funding

The RCMI Program in Health Disparities Research at Meharry Medical College - SupplementU54MD007586 · NIMHD · MEHARRY MEDICAL COLLEGE · PI Samuel Evans Adunyah · 2017 to 2026
$48.2M
Meharry RCMI Program in Women's Health ResearchG12MD007586 · NIMHD · MEHARRY MEDICAL COLLEGE · PI HILDRETH, JAMES E · 2012 to 2016
$7.8M
NIMHD NIH HHS G12 MD007586NIMHD NIH HHS U54 MD007586
6 · The paper itself

Abstract

The purpose of this study is two-fold. First, to find out whether the histological subtypes can serve as an independent prognostic factor for kidney carcinoma; and second, whether it's role can be maintained when we control for confounders. Using National Cancer Institute data from 1975-2016, we have modeled the impact of histological subtypes on the survival probability of kidney carcinoma patients. A total of 134,150 individuals were examined from the Surveillance, Epidemiology, and End Results program (SEER) [1]. The study variables are age, race/ethnicity, sex, tumor grade, type of surgery, geographical location of patient and stage of disease. We have applied the Hypertabastic proportional hazards survival model [2-6] to analyze the survival time of patients diagnosed with kidney carcinoma in order to explore the effect of histological subtypes on their survival probability. In particular, our intention was to assess the relationship between the histological subtypes and tumor stage, grade, and type of surgery. Our results indicated that histology plays an important role both when used as the sole predictor in the survival model (

Indexed as

Histological subtypesHypertabastic survival modelskidney carcinomatumor gradetumor stage

Identifiers

PMID39450304
PMCPMC11500793

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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.