ArticleCureus2025
Utility of P Wave Indices on Electrocardiography in Predicting the Left Atrial Volume Index in Chronic Kidney Disease Patients.
Article in Cureus, 2025. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLeft atrial volume (LAV) is a long-term marker for an array of physiological symptoms that can lead to high end-diastolic pressures - likening it to the echocardiographic equivalent of glycosylated hemoglobin (HbA1c). An increased left atrial volume index (LAVI) has been identified as an important biomarker for chronically increased LV diastolic pressure in chronic kidney disease (CKD) patients. We explored utilizing P wave parameters including newer parameters such as P wave peak time in predicting the increase in the LAVI in our study. MATERIAL AND
methodsWe included CKD patients (as per kidney disease: improving global outcomes (KIDGO)) with ages more than 18 years in our study from the nephrology department (OPD/IPD) at the Institute of Medical Sciences Banaras Hindu University (IMS-BHU), Varanasi, India. We excluded patients with rhythm abnormalities, decreased ejection fraction (<50%), valvular heart disease, coronary artery disease, and patients with poor echocardiographic assessment from our study.
resultsWe enrolled 92 patients with CKD (as per KDIGO definition), out of which 72 met the inclusion-exclusion criteria. The study population's mean age was 53+/-11 years. Of the 72 individuals, 22 (30.6%) were females. Stage-wise depiction of CKD among the study population indicates that most patients (43, or 59.5%) were at stage 5. Thirty-six (50%) were on maintenance hemodialysis. Our analysis results indicate that the P wave peak time was the strongest predictor of the LAVI with a maximum area under the curve on the receiver operating characteristic (ROC) curve.
conclusionOur study suggests that electrocardiographic (ECG) parameters such as p wave peak time can predict LAVI in CKD and ECG is an easily available tool; thus, this could help stratify cardiovascular risk, especially left ventricular diastolic dysfunction.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.