Evidence map›Paper›PMID 40688869›Full record

ReviewCureus2025

Effect of Ramadan Fasting on Blood Lipid Profile Among Populations in the South Asia Region: A Systematic Review and Meta-Analysis.

Zayna Motiwala, Pritul Sarker, Oleksii Hliebov

Abstract readReview
In one paragraph

Review 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Zayna MotiwalaDepartment of Medical Foundations, Ross University School of Medicine, Bridgetown, BRB.
Pritul SarkerDepartment of Medical Foundations, Ross University School of Medicine, Bridgetown, BRB.
Oleksii HliebovDepartment of Medical Foundations, Ross University School of Medicine, Bridgetown, BRB.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ramadan fasting involves abstinence from food and drink during daylight hours for 30 consecutive days. While beneficial effects of Ramadan intermittent fasting (RIF) on cardiometabolic risk factors have been suggested, findings related to blood lipid profiles remain inconsistent, particularly among South Asians, who are highly predisposed to dyslipidemia and cardiovascular disease. This systematic review and meta-analysis aimed to evaluate the effects of RIF on lipid profiles among selected South Asian populations from India, Pakistan, Bangladesh, Nepal, and Sri Lanka. These countries were selected due to their disproportionately higher cardiovascular risk burden, shared dietary practices, and availability of comparable studies. A comprehensive literature search was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines across PubMed, Embase, Scopus, Web of Science, and Google Scholar up to March 2025, retrieving 2,430 records; 10 studies (n=432) comprising randomized controlled trials and observational cohort studies in adult populations (healthy and those with controlled metabolic conditions) met all inclusion criteria. Meta-analysis using random-effects models demonstrated significant lipid improvements post-Ramadan, including increased high-density lipoprotein cholesterol (HDL-C) (Z=2.50, p=0.01), decreased low-density lipoprotein cholesterol (LDL-C) (Z=2.19, p=0.03), and decreased total cholesterol (TC) (Z=2.11, p=0.03). No statistically significant change was observed for triglycerides (TG) (Z=0.27, p=0.78). Substantial heterogeneity (I

Indexed as

awareness of cardiovascular diseaseblood lipid profiledietary behaviorramadan fastingsouth asia

Identifiers

PMID40688869
PMCPMC12274119

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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.