Evidence map›Paper›PMID 28605139›Full record

ArticleJournal of clinical laboratory analysis2018

Clinical implications of pretreatment inflammatory biomarkers as independent prognostic indicators in prostate cancer.

Zhaohui Sun, Ying Ju, Fuyan Han, Xiya Sun, Fang Wang

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
–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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Zhaohui SunDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, Shandong, China.ORCID http://orcid.org/0000-0003-3753-0454
Ying JuDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.
Fuyan HanDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, China.
Xiya SunSchool of Basic Medical Sciences of Lanzhou University, Lanzhou, Gansu, China.
Fang WangDepartment of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesResearch on the relationship between inflammatory biomarkers and malignant tumors has become a hotspot. Many studies have demonstrated that neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and red blood cell distribution width (RDW) could act as independent prognostic indicators for several solid tumors. This study aimed to evaluate the clinical implications of pretreatment inflammatory biomarkers, including NLR, PLR, and RDW as independent prognostic indicators in prostate cancer (PCa).

methodsA total of 226 PCa patients who were diagnosed at our institution from 2011 to 2016 were analyzed retrospectively. We compared the clinicopathological features, survival curves, and prognosis of the PCa patients between the high and low groups according to the cutoffs of NLR, PLR, and RDW.

resultsThe pretreatment NLR, PLR, and RDW values were significantly higher in the patients with PCa than those in the controls (P<.05). Increased NLR and PLR values were significantly associated with high risk of progression, including higher Gleason scores, cell proliferation antigen 67 (Ki-67) indexes, and prostate-specific antigen (PSA) levels (P<.05), whereas an elevated RDW was only associated with an older age. An increased NLR was correlated with both overall survival (OS) (P=.025) and disease-free survival (DFS) (P=.017). In addition, a higher PLR only showed a significantly worse DFS (P=.040). Pretreatment NLR was an independent prognostic indicator of DFS.

conclusionsThe pretreatment NLR and PLR might be beneficial to predict the progression and prognosis of PCa. Furthermore, NLR was more effective than PLR acting as an independent prognostic indicator for PCa.

Indexed as

AgedBiomarkers, TumorBlood PlateletsCase-Control StudiesErythrocyte IndicesHumansKaplan-Meier EstimateLeukocyte CountLogistic ModelsLymphocytesMaleNeutrophilsPlatelet CountPrognosisProstatic NeoplasmsROC CurveBiomarkers, Tumorinflammatory biomarkersneutrophil-lymphocyte ratioplatelet-lymphocyte ratioprognostic indicatorsprostate cancerred blood cell distribution width

Identifiers

PMID28605139
PMCPMC6816827

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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.