Evidence map›Paper›PMID 32962642›Full record

ArticleBMC cancer2020

Correlation between peripheral blood neutrophil-lymphocyte ratio and CD34 expression in prostate cancer.

Yiyang Wang, Xiaofei Dong, Zhaokui Qu, Kang Peng, Xiaolei Sun, Renfu Chen

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Yiyang WangDepartment of Urology, Yancheng Third People's Hospital, Yancheng, 224000, Jiangsu, China.
Xiaofei DongDepartment of Urology, Xuzhou Medical College, Xuzhou, 221000, Jiangsu, China.
Zhaokui QuDepartment of Urology, Yancheng Third People's Hospital, Yancheng, 224000, Jiangsu, China.
Kang PengDepartment of Urology, Xuzhou Medical College, Xuzhou, 221000, Jiangsu, China.
Xiaolei SunDepartment of Urology, Xuzhou Medical College, Xuzhou, 221000, Jiangsu, China.
Renfu ChenDepartment of Urology, Xuzhou Medical College, Xuzhou, 221000, Jiangsu, China. yizherenxin5518@163.com.
Xuzhou Medical College · CNYancheng Third People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundsThe association of neutrophil-lymphocyte ratio (NLR) and CD34 expression level with PSA level, Gleason score, and clinical stage was investigated in patients with prostate cancer. The correlation between NLR and CD34 expression was also investigated to provide evidence supporting the use of NLR for predicting the prognosis of prostate cancer patients.

methodsClinical data of 75 patients diagnosed with prostate cancer by prostate aspiration biopsy were retrospectively analyzed. The correlation between NLR, CD34 expression, and clinicopathological characteristics was analyzed using the χ2 test and one-way analysis of variance. The correlation between NLR and CD34 was determined using the Pearson coefficient. Disease free survival was estimated by Kaplan-Meier analysis.

resultsBoth NLR and CD34 expression were significantly positively correlated with PSA, Gleason score, and clinical stage (P < 0.05 both). Patients in the NLR

conclusionsPretreatment NLR was a valuable marker of prognosis in prostate cancer. NLR is positively correlated with CD34 expression.

Indexed as

AdultAgedAged, 80 and overAntigens, CD34HumansLymphocytesMaleMiddle AgedNeutrophilsProstatic NeoplasmsRetrospective StudiesAntigens, CD34CD34Microvessel densityNeutrophil-to-lymphocyte ratioProstate cancer

Identifiers

PMID32962642
PMCPMC7510314
OpenAlexW3088820675

What OpenQuestion holds

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LicenceCC BY
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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.