ArticleJournal of clinical laboratory analysis2022
Significance of preoperative blood tests in the prognosis of colorectal cancer: A prospective, multicenter study from Hungary.
Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- A Review of the Prognostic Significance of Neutrophil-to-Lymphocyte Ratio in Nonhematologic Malignancies.Diagnostics (Basel, Switzerland) · 2024Review
- Thromboelastography (TEG) parameters as potential predictors of malignancy and tumor progression in colorectal cancer.World journal of surgical oncology · 2023Article
- The Prognostic Role of Preoperative Hematological and Inflammatory Indices in Canine Appendicular Osteosarcoma.Veterinary sciences · 2023Article
- Clinical significance of the histopathological metastatic largest lymph node size in colorectal cancer patients.Frontiers in oncology · 2023Article
- Article
- Significance of preoperative blood tests in the prognosis of colorectal cancer: A prospective, multicenter study from Hungary.Journal of clinical laboratory analysis · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe focus of this study was to analyze the prognostic value of different combinations of inflammatory and coagulation factors using preoperative blood and to appraise the clinical importance of these biomarkers in colorectal cancer patients.
methodsA prospective, multicenter study included patients undergoing radical colorectal surgery in three county hospitals. Inflammatory and coagulation markers were analyzed preoperatively.
resultsTwo hundred and one patients were included. We examined patients based on their tumor localization. Colon cancer group involved patients with the tumor localized in the colon (n = 105, 52.24%) and rectal cancer group the patients with the tumor in the rectum (n = 96, 47.76%). Examining coagulation factors, univariate Cox analysis of colon cancer patients showed that activated partial thromboplastin time (p = 0.020) was significantly associated with overall survival, but we could not prove it in multivariate analysis. In colon cancer patients, neutrophil-to-lymphocyte ratio (NLR, p < 0.001) was positively correlated with tumor size and had significant association (χ
conclusionNLR was proved to be an independent prognostic factor for DFS in patients with non-metastatic colon cancer. NLR might help to recognize the high-risk patients between patients with the same tumor-node-metastasis stage and could help with the decision on adjuvant chemotherapy. Since the biomarkers in preoperative blood tests are habitually evaluated, NLR could be an inexpensive prognostic marker that can be easily assessed in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
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.