Evidence map›Paper›PMID 31444697›Full record

Observational studyInternational urology and nephrology2019

The importance of plasma arginine level and its downstream metabolites in diagnosing prostate cancer.

Ismail Selvi, Halil Basar, Numan Baydilli, Koza Murat, Ozlem Kaymaz

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International urology and nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Combining Magnetic Resonance Diffusion-Weighted Imaging with Prostate-Specific Antigen to Differentiate Between Malignant and Benign Prostate Lesions.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  11. Review
  12. Review
  13. Article
  14. Diagnosis of Prostate Cancer in Patients with Prostate-Specific Antigen (PSA) in the Gray Area: Construction of 2 Predictive Models.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  15. Arginine Metabolism and Its Potential in Treatment of Colorectal Cancer.Frontiers in cell and developmental biology · 2021
    Review
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 at 5 institutions in 1 country.

Ismail SelviDepartment of Urology, Karabük University Training and Research Hospital, 78200, Karabük, Turkey. ismselvi33@hotmail.com.ORCID http://orcid.org/0000-0003-3578-0732
Halil BasarDepartment of Urology, Health Science University Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey.ORCID http://orcid.org/0000-0003-1770-5165
Numan BaydilliDepartment of Urology, Erciyes University Medical School, Kayseri, Turkey.ORCID http://orcid.org/0000-0003-1017-3653
Koza MuratDepartment of Biochemistry, Health Science University Keçiören Training and Research Hospital, Ankara, Turkey.ORCID http://orcid.org/0000-0002-0675-9312
Ozlem KaymazDepartment of Statistics, Faculty of Science, Ankara University, Ankara, Turkey.ORCID http://orcid.org/0000-0003-1235-8117
Ankara Onkoloji Eğitim ve Araştırma Hastanesi · TRAnkara University · TRErciyes University · TRKarabük University · TRSağlık Bilimleri Üniversitesi · TR

Funding

Dr.Abdurrahman Yurtaslan Ankara Onkoloji Egitim ve Arastirma Hastanesi (TR) numbered 3Dr.Abdurrahman Yurtaslan Ankara Onkoloji Egitim ve Arastirma Hastanesi (TR) the scientific research fund with the decision of dated 20.10.2016
6 · The paper itself

Abstract

purposeThere is still no certain threshold value of prostate-specific antigen (PSA) for prostate cancer diagnosis. We aimed to investigate the predictive value of arginine and its metabolites for diagnosing prostate cancer in patients with PSA 4-10 ng/ml and evaluate their usefulness as prognostic tumor markers.

methodsSeventy-eight patients with a mean age of 64.50 ± 5.49 years were included in our prospective observational study between November 2016 and March 2017. They were divided into two equal groups according to the pathologic results of prostate biopsy (benign vs. malignant). Plasma arginine and ornithine levels were analyzed before biopsy by liquid chromatography-tandem mass spectrometry. ELISA was used for analyzing urinary diacetylspermine.

resultsIn PSA-adjusted analysis, the malignant group had lower plasma arginine levels (p = 0.021) and arginine to ornithine ratio (AOR) (p = 0.010), but higher plasma ornithine levels (p = 0.012) and urinary diacetylspermine levels (p < 0.001) as compared with the benign group. While arginine (r = - 0.628, p < 0.001) and AOR (r = - 0.714, p < 0.001) were negatively correlated with D'Amico clinical classification (p < 0.001), ornithine (r = 0.659, p < 0.001) and diacetylspermine (r = 0.710, p < 0.001) were found to be positively correlated (p < 0.001). In multivariate analysis, ornithine [OR 3.264, 95% CI (1.045-10.196), p = 0.042] and diacetylspermine [OR 6.982, 95% CI (2.403-20.290), p < 0.001] were found to be more significant in detection of prostate cancer.

conclusionPlasma arginine, ornithine, AOR and urinary diacetylspermine levels may be used as molecular markers to predict prostate biopsy outcomes in patients with PSA 4-10 ng/ml. But according to our results, the use of ornithine and diacethylspermine prior to biopsy seems to be the most cost-effective diagnostic strategy.

Indexed as

AgedArginineBiomarkers, TumorHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesProstatic NeoplasmsArginineBiomarkers, TumorArginineDiacetylsperminOrnithineProstate biopsyProstate cancerTumor marker

Identifiers

PMID31444697
OpenAlexW2969899222

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.