ReviewCurrent opinion in HIV and AIDS2010
Analysis of biomarker data: logs, odds ratios, and receiver operating characteristic curves.
Review in Current opinion in HIV and AIDS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed.
- Interruption or deferral of antiretroviral therapy reduces markers of bone turnover compared with continuous therapy: The SMART body composition substudy.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2013Trial
- Reclassification of risk of death with the knowledge of D-dimer in a cohort of treated HIV-infected individuals.AIDS (London, England) · 2012Trial
- Gut microbiota-derived imidazole propionate predicts cardiometabolic risk in patients with coronary artery disease.European heart journal · 2026Article
- A dual-marker peripheral signature of IL-6 elevation andActa neuropsychiatrica · 2026Article
- Blood Pressure Variability and Risk of Cardiovascular Events and Mortality in Real-World Clinical Settings.Journal of the American Heart Association · 2025Article
- From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies.Molecular biotechnology · 2025Review
- The cardio-metabolic protein profile is associated with development of type 2 diabetes at long term follow-up after gestational diabetes mellitus: Results from the OGFUS study.Diabetes, obesity & metabolism · 2025Article
- Review
- Protein Biomarkers of Ultra-Processed Food Consumption and Risk of Coronary Heart Disease, Chronic Kidney Disease, and All-Cause Mortality.The Journal of nutrition · 2024Article
- LOCC: a novel visualization and scoring of cutoffs for continuous variables with hepatocellular carcinoma prognosis as an example.BMC bioinformatics · 2024Article
- Impact of Intracranial Volume and Brain Volume on the Prognostic Value of Computed Tomography Perfusion Core Volume in Acute Ischemic Stroke.Journal of cardiovascular development and disease · 2024Article
- miRNA signatures underlie chemoresistance in the gemcitabine-resistant pancreatic ductal adenocarcinoma cell line MIA PaCa-2 GR.Frontiers in genetics · 2024Article
- BMP4, SGSH, and SLC11A2 are Predicted to Be Biomarkers of Aging Associated with Programmed Cell Death.Journal of molecular neuroscience : MN · 2023Article
- Unlocking the Potential of Circulating miRNAs in the Breast Cancer Neoadjuvant Setting: A Systematic Review and Meta-Analysis.Cancers · 2023Review
- Thyroid nodule malignancy is associated with increased non-invasive hepatic fibrosis scores in metabolic subjects.Frontiers in oncology · 2023Article
- Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning methods.Computers in biology and medicine · 2022Article
- Article
- A 92 protein inflammation panel performed on sonicate fluid differentiates periprosthetic joint infection from non-infectious causes of arthroplasty failure.Scientific reports · 2022Article
- Novel Functional, Health, and Genetic Determinants of Cognitive Terminal Decline: Kuakini Honolulu Heart Program/Honolulu-Asia Aging Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022Article
- Dysregulation of macrophage PEPD in obesity determines adipose tissue fibro-inflammation and insulin resistance.Nature metabolism · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
purpose of reviewWe discuss two data analysis issues for studies that use binary clinical outcomes (whether or not an event occurred): the choice of an appropriate scale and transformation when biomarkers are evaluated as explanatory factors in logistic regression and assessing the ability of biomarkers to improve prediction accuracy for event risk. RECENT
findingsBiomarkers with skewed distributions should be transformed before they are included as continuous covariates in logistic regression models. The utility of new biomarkers may be assessed by measuring the improvement in predicting event risk after adding the biomarkers to an existing model. The area under the receiver operating characteristic (ROC) curve (C-statistic) is often cited; it was developed for a different purpose, however, and may not address the clinically relevant questions. Measures of risk reclassification and risk prediction accuracy may be more appropriate. SUMMARY: The appropriate analysis of biomarkers depends on the research question. Odds ratios obtained from logistic regression describe associations of biomarkers with clinical events; failure to accurately transform the markers, however, may result in misleading estimates. Although the C-statistic is often used to assess the ability of new biomarkers to improve the prediction of event risk, other measures may be more suitable.
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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.