Evidence map›Paper›PMID 40078263›Full record

ArticleCureus2025

Exploring Cardiovascular Health: The Role of Dyslipidemia and Inflammation.

Chandu Siripuram, Anil Kumar Gunde, Shreelaxmi V Hegde, Krishna S Ghetia, Ramesh Kandimalla

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Chandu SiripuramDepartment of Community Medicine, Geisinger Community Medical Center, Scranton, USA.
Anil Kumar GundeDepartment of Biochemistry, Gandhi Medical College, Secunderabad, IND.
Shreelaxmi V HegdeDepartment of Biochemistry, Srinivas Institute of Medical Sciences and Research Center, Rajiv Gandhi University of Health Sciences, Mangalore, IND.
Krishna S GhetiaDepartment of Biochemistry, Srinivas Institute of Medical Science and Research Centre, Rajiv Gandhi University of Health Sciences, Mangalore, IND.
Ramesh KandimallaDepartment of Biochemistry, Government Medical College, Warangal, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVDs) are a major global health concern, with their prevalence rising significantly in developing regions like South India. This increase is driven by unique dietary patterns, lifestyle habits, and genetic predispositions contributing to the region's distinct cardiovascular risk profile. However, gaps remain in understanding the biochemical risk factors specific to this population. This study addresses these gaps by focusing on key markers, namely, low-density lipoprotein (LDL), high-density lipoprotein (HDL), high-sensitivity C-reactive protein (hs-CRP), and homocysteine, which are critical in dyslipidemia, inflammation, and endothelial dysfunction. Identifying these markers' prevalence and their role in CVD is essential for developing effective, region-specific preventive strategies.

methodsThis study employed a cross-sectional design and included 1,200 participants aged between 30 and 70 years from both urban and rural areas in South India, selected through a multistage stratified random sampling approach to ensure demographic representation across socioeconomic groups, gender, and residential settings. Data on demographics, lifestyle choices, and medical histories were collected using structured questionnaires, which were validated through a pilot study involving 50 participants to ensure clarity, cultural relevance, and content validity. Biochemical assessments included lipid profiles, fasting glucose, hs-CRP, and serum homocysteine levels, which were conducted following standardized laboratory protocols. Quality control measures, such as duplicate testing of 10% of samples, ensured reliability. Statistical analyses included logistic regression to identify independent predictors of CVDs and ANOVA to compare mean biochemical parameter values between groups.  Results: The study reported that 274 participants (22.83%) were affected by CVDs, with a higher prevalence in urban areas (75 participants (27.37%)) compared to rural regions (48 participants (17.51%)). This disparity is likely attributed to urban-specific risk factors, including sedentary lifestyles, dietary patterns, and environmental stressors. Biochemical analysis revealed significant predictors of CVD, such as elevated LDL cholesterol (498 participants (41.5%), odds ratio (OR) = 2.1, 95% CI: 1.7-2.6), reduced HDL cholesterol (428 participants (35.7%), OR = 1.8, 95% CI: 1.4-2.3), and increased hs-CRP levels (353 participants (29.4%), OR = 1.9, 95% CI: 1.5-2.4), emphasizing the central roles of dyslipidemia and systemic inflammation in CVD pathogenesis.

conclusionThe findings of this study highlight critical implications for public health policies and healthcare systems in South India. The higher prevalence of CVDs in urban areas necessitates targeted interventions such as community-based physical activity programs, dietary counseling, and stress management initiatives. Biochemical management strategies, including early screening and control of dyslipidemia through lipid-lowering agents and addressing elevated hs-CRP levels with anti-inflammatory measures, are essential. Supplementation with folate and vitamin B12 to manage hyperhomocysteinemia should also be considered. However, the cross-sectional nature of the study and its single-center design limit causal inference and generalizability, emphasizing the need for multicenter, longitudinal research to validate these findings and guide comprehensive CVD prevention strategies.

Indexed as

biochemical risk factorscardiovascular diseasesdyslipidemiahomocysteinehs-crpprevalencesouth india

Identifiers

PMID40078263
PMCPMC11901415

What OpenQuestion holds

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Registered trials

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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.