ArticleRevista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993)
[Correlation: not all correlation entails causality].
Article in Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Factors associated with satisfaction with teledentistry care among patients from a rural and an urban population in Peru during the COVID-19 pandemic: a cross-sectional survey.BMC public health · 2026Article
- Factors associated with Peruvian students' knowledge of non-steroidal anti-inflammatory drug management in pediatric dentistry: a cross-sectional study.BMC medical education · 2025Article
- Academic burnout syndrome associated with anxiety, stress, depression, and quality of life in Peruvian dentistry students: an analysis using a multivariable regression model.BMC medical education · 2025Article
- Factors associated with oral health knowledge, attitudes, and practices among legal guardians of preschool children in the Peruvian capital.BMC public health · 2025Article
- Harnessing Machine Learning to Uncover Hidden Patterns in Azole-Resistant CYP51/ERG11 Proteins.Microorganisms · 2024Article
- Fear of COVID-19 associated with burnout syndrome in dentists of the Health Directorate of the National Police of Peru: a cross-sectional study at national level under multivariable regression model.BMC public health · 2024Article
- Influence of Transcranial Direct Current Stimulation and Exercise on Physical Capacity and Gait in Multiple Sclerosis: A Cross-Over Pilot Study.Healthcare (Basel, Switzerland) · 2023Article
- [Correlation between the shock index and the anaerobic index].Revista medica del Instituto Mexicano del Seguro Social · 2023Observational
- The Effect of Combining Transcranial Direct Current Stimulation Treatment and an Exercise Program on Fragility in a Population with Multiple Sclerosis: Cross-Over Design Trial.International journal of environmental research and public health · 2022Article
- Comment on Althobaiti et al. Potential Association between the Use of Anabolic Steroids and COVID-19 Infection.Healthcare (Basel, Switzerland) · 2022Article
- Connectivity Analysis for Multivariate Time Series: Correlation vs. Causality.Entropy (Basel, Switzerland) · 2021Article
- Rural service coordination programming for women using substances and their families.Women's health (London, England)Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The concept of correlation entails having a couple of observations (X and Y), that is to say, the value that Y acquires for a determined value of X; the correlation makes it possible to examine the trend of two variables to be grouped together. We know that, with increasing age, blood pressure figures also increase, therefore, if we want to answer a research question like "what is the connection between age and blood pressure?" the relevant statistical test is a correlation test. This test makes it possible to quantify the magnitude of the correlation between two variables, but it is also helpful for predicting values. If these variables had a perfect correlation, the value of the variable Y could be deduced by knowing the value of X. Because of these advantages, the correlation is one of the most frequently used tests in the clinical setting since, in addition to measuring the direction and magnitude of the association of two variables, it is one of the foundations for prediction models, such as linear regression model, logistic regression model and Cox proportional hazards model.
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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.