ArticleCureus2025
Navigating Complexities: Clinical Decision-Making in Patients With Multiple Comorbidities.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Targeting the heart-immune axis after myocardial infarction: from inflammation to immunomodulation.Frontiers in cardiovascular medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to explore the clinical characteristics, comorbidities, and health outcomes of patients with multiple chronic conditions, focusing on gender-based differences and key clinical predictors such as age, BMI, blood pressure, HbA1c, and comorbidities such as diabetes and hypertension. The sample consisted of 450 patients, with nearly equal gender distribution (50.9% females and 49.1% males). Results showed that the most common comorbidities were hypertension (81%), diabetes (72%), and cardiovascular diseases (48%). Exploratory data analysis indicated that the distribution of most clinical variables approximated normality, and significant correlations were observed between BMI and systolic blood pressure (r = 0.65, p < 0.01). Logistic regression revealed that age (OR = 1.05, p = 0.021) and BMI (OR = 1.08, p = 0.045) were significant predictors of atrial fibrillation. The model's Cox & Snell R
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.