Evidence map›Paper›PMID 23606819›Full record

Trial reportTheScientificWorldJournal2013

Can neutrophil-lymphocyte ratio and lymph node density be used as prognostic factors in patients undergoing radical cystectomy?

Abdullah Demirtaş, Volkan Sabur, Emre Can Akınsal, Deniz Demirci, Oguz Ekmekcioglu, Ibrahim Gulmez, Atila Tatlisen

Abstract readClinical Trial
In one paragraph

Trial report in TheScientificWorldJournal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. The Multifaceted Roles Neutrophils Play in the Tumor Microenvironment.Cancer microenvironment : official journal of the International Cancer Microenvironment Society · 2015
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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

7 authors.

Abdullah DemirtaşDepartment of Urology, Erciyes University Medical Faculty, 38039 Kayseri, Turkey. mesane@gmail.com
Volkan Sabur
Emre Can Akınsal
Deniz Demirci
Oguz Ekmekcioglu
Ibrahim Gulmez
Atila Tatlisen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assessment the role of preoperative neutrophil-lymphocyte ratio and postoperative lymph node density in predicting prognosis in patients undergoing radical cystectomy for bladder cancer. MATERIAL AND

methodsPreoperatively, neutrophil and lymphocyte counts as well as neutrophil-lymphocyte ratios were recorded in 201 patients who underwent radical cystectomy for bladder cancer. Patients with an infection were excluded. Based on the pathology reports, the number of positive lymph nodes was divided by the total number of lymph nodes to calculate lymph node density.

resultsThe mean follow-up duration was 37.22 ± 35.922 months in patients without lymph node involvement and 27.75 ± 31.501 months in those with lymph node involvement (P = 0.015). Median lymph node density was 17% (4-80) in patients with lymph node involvement. There was no difference according to lymph node density lower than 17% and greater than 17% (P = 0.336). There was no significant difference between patients with an NLR below or above 2.5 in terms of overall survival (P = 0.702). Pathological T stage was associated with survival (P = 0.004).

conclusionIn patients undergoing RC for bladder cancer, lymph node density and preoperative NLR were not found to be independent predictors of prognosis.

Indexed as

AdultAgedAged, 80 and overCell CountCystectomyFemaleHumansLymph NodesLymphocytesMaleMiddle AgedNeutrophilsPrevalencePrognosisReproducibility of ResultsRisk Assessment

Identifiers

PMID23606819
PMCPMC3628500

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Registered trials

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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.