ArticleOncotarget2017
Predictive value of preoperative inflammatory response biomarkers for metabolic syndrome and post-PCNL systemic inflammatory response syndrome in patients with nephrolithiasis.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03774940 (Neutrophil and Lymphocyte Counts and the Neutrophil-to-lymphocyte Ratio as a Predictor of Fever Following Percutaneous Nephrolithotomy in Patients Without Risk Factors), which is not on this map. Cited by 23 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
Neutrophil and Lymphocyte Counts and the Neutrophil-to-lymphocyte Ratio as a Predictor of Fever Following Percutaneous Nephrolithotomy in Patients Without Risk Factors
Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Prognostic value of NLR, SII, PCT, and PLR in sepsis and septic shock: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Neutrophil to lymphocyte ratio in urolithiasis: a systematic review.BMC urology · 2025Pooled it
- Predictive role of neutrophil-to-lymphocyte ratio in metabolic syndrome: Meta-analysis of 70,937 individuals.BMC endocrine disorders · 2024Pooled it
- Preoperative inflammatory indicators predict postoperative SIRS after cardiac surgery with cardiopulmonary bypass in older patients.BMC geriatrics · 2026Article
- Predicting postoperative fever in culture-negative patients undergoing mini-PCNL using MAP score-augmented machine learning: a retrospective cohort study.World journal of urology · 2025Article
- Association between systemic inflammation markers and blood pressure among children and adolescents: National Health and Nutrition Examination Survey.Pediatric research · 2025Article
- Can we predict postoperative fever and urinary tract ınfection after retrograde ıntrarenal surgery? Results of a case control matching multicentric RIRSearch study group.World journal of urology · 2025Article
- Machine learning models to predict systemic inflammatory response syndrome after percutaneous nephrolithotomy.BMC urology · 2024Article
- The Predictive Value of Systemic Inflammatory Biomarkers in Predicting Postoperative Systemic Inflammatory Response Syndrome After Percutaneous Nephrolithotomy.International journal of general medicine · 2024Article
- Preoperative hs-CRP/HDL ratio is associated with increased risk for postoperative SIRS in elderly patients: a retrospective cohort study.Aging clinical and experimental research · 2023Article
- Increased risk of chronic kidney disease in uric acid stone formers with high neutrophil-to-lymphocyte ratio.Scientific reports · 2023Article
- Incidence, risk factors, and predictive modeling of stoma site incisional hernia after enterostomy closure: a multicenter retrospective cohort study.BMC gastroenterology · 2023Article
- Predictive value of Controlling Nutritional Status score and Prognostic Nutritional Index for systemic inflammatory response syndrome/sepsis after percutaneous nephrolithotomy.International urology and nephrology · 2023Article
- Progress in the study of biomarkers for early prediction of systemic inflammatory response syndrome after percutaneous nephrolithotomy.Frontiers in immunology · 2023Review
- Development and validation of a patient-specific model to predict postoperative SIRS in older patients: A two-center study.Frontiers in public health · 2023Article
- Observational
- Article
- The Predictive Value of Preoperative Albumin-Globulin Ratio for Systemic Inflammatory Response Syndrome After Percutaneous Nephrolithotomy.International journal of general medicine · 2022Article
- Association between Preoperative hs-crp/Albumin Ratio and Postoperative sirs in Elderly Patients: A Retrospective Observational Cohort Study.The journal of nutrition, health & aging · 2022Observational
- Understanding the link between kidney stones and cancers of the upper urinary tract and bladder.American journal of clinical and experimental urology · 2022Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) were promising biomarkers used to predict diagnosis and prognosis in various inflammatory responses diseases and cancers. However, there have been no reports regarding these biomarkers in kidney stone patients. This study aimed to evaluate the predictive value of inflammatory biomarkers for metabolic syndrome (MetS) and post-PCNL SIRS in nephrolithiasis patients. We retrospectively enrolled 513 patients with nephrolithiasis and 204 healthy controls. NLR, dNLR, LMR and PLR in nephrolithiasis patients were significantly higher than control group. Patients with renal stone have higher NLR, dNLR, LMR and PLR than those without. ROC curve analysis indicated NLR, dNLR, LMR and PLR for predicting patients with nephrolithiasis and MetS, displayed AUC of 0.730, 0.717, 0.627 and 0.606. Additionally, ROC curves, using post-PCNL SIRS as the end-point for NLR, dNLR, LMR and PLR with AUC of 0.831, 0.813, 0.723 and 0.685. Multivariate analysis revealed that NLR, dNLR represented independent factors for predicting post-PCNL SIRS. While LMR independently associated with MetS. These resluts demonstrate preoperative NLR, dNLR and LMR appears to be effective predictors of post-PCNL SIRS and LMR of MetS in nephrolithiasis patients.
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Registered trials
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.