ArticleFrontiers in public health2024
The role of correspondence analysis in medical research.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patterns of multimorbidity, their outcomes and analytical methods for their determination: a systematic review.BMC public health · 2026Pooled it
- A national surveillance study on five-year trends in AMR of E. coli from urine samples in Ethiopia.BMC infectious diseases · 2026Article
- Strategy for Hepatitis B and C Virus Testing Campaigns Through Web Services and Digital Advertising in Japan: Nationwide Cross-Sectional Study With Correspondence Analysis.Journal of medical Internet research · 2026Article
- Multidimensional Profiles of Recovery: Using Correspondence Analysis to Visualize Physiotherapy Outcomes in Patients with Chronic Low Back Pain.Journal of clinical medicine · 2026Article
- Awareness and practices survey of two ancient zoonotic diseases in Dhading District of Nepal.BMC public health · 2026Article
- Charting Advances in Asset Management Systems: A Bibliometric Analysis Revealing Applications and Potential in Healthcare.Healthcare (Basel, Switzerland) · 2025Article
- Factors influencing the choice of non-biologic versus biologic immunosuppressive therapy in systemic lupus erythematosus.Scientific reports · 2025Article
- Cluster and correspondence analyses for oral ulcer activity related factors in Behçet's syndrome.Medicina oral, patologia oral y cirugia bucal · 2025Article
- Breakdown of COVID effects on students' mental health at the beginning of the pandemic.PLOS mental health · 2025Article
- Physical-medical integration policies and health equity promotion in China: a text analysis based on policy instruments.International journal for equity in health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret "bi-plots," where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items positioned near each other are more associated than those located farther away. Each bi-plot has two dimensions, named during the analysis. The naming of dimensions adds a qualitative aspect to the analysis. Correspondence analysis may support medical professionals in finding answers to many important questions related to health, wellbeing, quality of life, and similar topics in a simpler but more informal way than by using more complex statistical or machine learning approaches. In that way, it can be used for dimension reduction and data simplification, clustering, classification, feature selection, knowledge extraction, visualization of adverse effects, or pattern detection.
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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.