Evidence map›Paper›PMID 35958894›Full record

ArticleTranslational andrology and urology2022

The predictive accuracy of preoperative erythrocyte count and maximum tumor diameter to maximum kidney diameter ratio in renal cell carcinoma.

Lei Zhang, Congmin Yan, Xun Hou, Xuhui Zhang, Jialin Xie, Hexiang Xu, Yujun Tong, Xinyue Cui, Ke Cai, Xin Pu and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Translational andrology and urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 3 institutions in 1 country.

Lei ZhangDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, China.
Congmin YanDepartment of Pathology, First Hospital of Shanxi Medical University, Taiyuan, China.
Xun HouFirst College of Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Xuhui ZhangDepartment of Urology, First Hospital of Shanxi Medical University, Taiyuan, China.
Jialin XieDepartment of Pathology, First Hospital of Shanxi Medical University, Taiyuan, China.
Hexiang XuDepartment of Pathology, First Hospital of Shanxi Medical University, Taiyuan, China.
Yujun TongDepartment of Pathology, First Hospital of Shanxi Medical University, Taiyuan, China.
Xinyue CuiSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Ke CaiSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Xin PuSchool of Public Health, Shanxi Medical University, Taiyuan, China.
Liyan WangFenyang College of Shanxi Medical University, Lvliang, China.
Tao BaiDepartment of Pathology, First Hospital of Shanxi Medical University, Taiyuan, China.
Dongwen WangFirst College of Clinical Medicine, Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CNFirst Hospital of Shanxi Medical University · CNShanxi Fenyang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The purpose of this study was to investigate the predictive accuracy of erythrocyte count and maximum tumor diameter to maximum kidney diameter ratio (TKR) in patients with renal cell carcinoma (RCC). Methods: We retrospectively analyzed the clinicopathological epidemiological characteristics of patients with RCC in the First Hospital of Shanxi Medical University from 2010 to 2014. Among them, 295 cases with complete follow-up data at the time of visit were selected. We collected data including erythrocyte counts and length of each diameter line of the tumor and kidney. To predict the prognosis of RCC, receiver operating characteristic (ROC) curve analysis was used to calculate the cutoff value of each parameter. Results: Of the 295 included patients, 199 (67.5%) were male, 96 (32.5%) were female, and the mean (± SD) age was 56.45±11.03 years. The area under the curve (AUC) of the erythrocyte count and the TKR for predicting the prognosis of RCC were 0.672 (SD 0.031; P<0.001) and 0.800 (SD 0.030; P<0.001), respectively. When the cutoff value of the erythrocyte count and TKR count were 3.975 and 0.452, the highest Youden index values were 0.309 and 0.685, and the corresponding sensitivity and specificity were 0.826 and 0.685, and 0.483 and 1.000, respectively. Conclusions: An erythrocyte count <3.975×10

Indexed as

erythrocyte countmaximum tumor diameter to maximum kidney diameter ratio (TKR)prognosisRenal cell carcinoma (RCC)

Identifiers

PMID35958894
PMCPMC9360514
OpenAlexW4285823268

What Socratic 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 Socratic graph.