ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024
Logistic regression and other statistical tools in diagnostic biomarker studies.
Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 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.
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Who cites it
25 citing papers in PubMed.
- Inflammation burden index as a complementary marker for the assessment of hepatic steatosis and fibrosis: evidence from NHANES 2017-2018.Abdominal radiology (New York) · 2026Article
- Sequential Application of Time-Stratified Demographic, Vital, Clinical-Laboratory, and Microbiology Variables for Accurate and Rapid Identification of Sepsis.Diseases (Basel, Switzerland) · 2026Article
- Ruling In and Ruling Out Sepsis Using Likelihood Ratios of a Host Response Assay.Diagnostics (Basel, Switzerland) · 2026Article
- Comparative evaluation of multiplex bead assay, polymerase chain reaction, and rapid diagnostic test for P. falciparum detection in community surveys in Malawi.Malaria journal · 2026Article
- Predicting Prostate Cancer Risk and Its Associated Factors Using Machine Learning Techniques: A Retrospective Study.Health science reports · 2026Article
- Comparative metabolic profiling of pediatric cerebrospinal fluid reveals disease-specific biomarkers in HIV and TB meningitis.Scientific reports · 2026Article
- Identification and validation of an explainable machine learning model for early postoperative pulmonary complications after esophagectomy in patients with esophageal cancer.Journal of gastrointestinal oncology · 2026Article
- Likelihood of Blood Culture Positivity Using SeptiCyte RAPID.Journal of clinical medicine · 2026Article
- Molecular effects of digital psychological intervention for perinatal stress: cell culture, animal model validation, and machine learning-based biomarker identification.Scientific reports · 2026Article
- Unlocking predictive genetic factors with artificial intelligence: relationship between dental impaction and hypodontia evaluated via association-rule algorithms: a case-control study.The Saudi dental journal · 2026Article
- Allostatic load in thyroid cancer is higher than that of other cancers: A secondary analysis using NHANES.PloS one · 2026Article
- Association Between Thyroid Function Indicators and Metabolic-Associated Fatty Liver Disease: Effect Modification by Iodine Nutritional Status.International journal of endocrinology · 2026Article
- A signature serum biomarker for non-invasive diagnosis of preeclampsia patients.Journal of assisted reproduction and genetics · 2025Article
- Machine learning models for predicting transstenotic pressure gradient based on computed tomography angiography features.Quantitative imaging in medicine and surgery · 2025Article
- Plasma POSTN Derived From Bile Proteome Is a Promising Biomarker for Cholangiocarcinoma With Efficacy Comparable and Complementary to CA19.9.United European gastroenterology journal · 2025Article
- Likelihood of blood culture positivity using SeptiCyte RAPID.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Association between anesthetics and the postoperative pneumonia risk in patients with non-traumatic subarachnoid hemorrhage: an analysis of the MIMIC-IV database.Frontiers in neurology · 2025Article
- Prediction of neoadjuvant therapy efficacy in gastric cancer: the interplay between biomarkers and radiomics and its potential for clinical translation.Frontiers in oncology · 2025Review
- Deep Learning Models for Predicting the Recurrence of Idiopathic Granulomatous Mastitis.Journal of inflammation research · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A biomarker is a measured indicator of a variety of processes, and is often used as a clinical tool for the diagnosis of diseases. While the developmental process of biomarkers from lab to clinic is complex, initial exploratory stages often focus on characterizing the potential of biomarkers through utilizing various statistical methods that can be used to assess their discriminatory performance, establish an appropriate cut-off that transforms continuous data to apt binary responses of confirming or excluding a diagnosis, or establish a robust association when tested against confounders. This review aims to provide a gentle introduction to the most common tools found in diagnostic biomarker studies used to assess the performance of biomarkers with an emphasis on logistic regression.
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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.