ArticleData in brief2026
COVID-19 advanced cardiovascular and clinical phenotyping dataset.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article describes a structured clinical dataset collected from 100 adult patients who were previously hospitalized due to moderate-to-severe COVID-19 infection. Data were obtained prospectively at a second-level care hospital in Mexicali, Baja California, Mexico. The dataset includes demographic characteristics, anthropometric measurements, traditional cardiovascular risk factors, general blood test, Questionnaire-derived variables, 12-lead electrocardiographic (ECG) parameters, signal-averaged electrocardiogram (SAECG) measurements, and heart rate variability (HRV) metrics. Questionnaire-derived variables include medical history, cardiovascular risk factors, medication use, lifestyle-related factors, and COVID-19 vaccination information. Laboratory variables include metabolic, renal, lipid, electrolyte, and hematological parameters obtained from routine clinical blood analyses. The 12-lead ECG data include cardiac rhythm classification, measurements of wave and interval durations, electrical axis parameters, and precordial voltage amplitudes. SAECG variables are provided as raw numerical measurements, including total QRS duration, low-amplitude signal duration below 40 µV (LAS40), and root mean square voltage of the last 40 ms (RMS40), together with a variable indicating the presence or absence of ventricular late potentials. HRV parameters are available as continuous time-domain and frequency-domain values, allowing future researchers to apply different clinical thresholds or computational approaches. The dataset is organized into multiple structured Comma-Separated Values (CSV) files distributed across dedicated subdirectories within the Mendeley Data repository. The repository also includes supporting PDF documentation, such as the ethics approval document containing the protocol number, the questionnaire applied during data collection, and the informed consent form. An overview of each variable is provided, and only anonymized patient identifiers are included; no personally identifiable information is contained in the dataset. These data may support future exploratory studies on cardiovascular alterations in post-COVID populations and machine learning applications. The structured format is intended to facilitate secondary data analyses, such as correlational studies and the identification of associations between clinical and electrocardiographic variables.
Indexed as
Identifiers
What Socratic 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 Socratic graph.