Evidence map›Paper›PMID 41178944›Full record

SynthesisFrontiers in nutrition2025

Effects of curcumin on dyslipidemia and body mass index in metabolic disorders: a systematic review and meta-analysis.

Fang Fang, Defeng Qin, Yong Li, Fang Liu, Jinlin Wu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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.

Fang Fang *Department of Endocrinology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Defeng Qin *Department of Endocrinology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Yong LiDepartment of Endocrinology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Fang LiuDepartment of Endocrinology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Jinlin WuDepartment of Endocrinology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the effects of curcumin on blood lipid levels and body mass index (BMI) in patients with metabolic diseases. Methods: A systematic database search identified 587 records, from which 11 randomized controlled trials (RCTs) involving 662 participants were included. The analysis evaluated changes in triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and BMI. Both fixed-effects models (FEM) and random-effects models (REM) were used for statistical analysis. Funnel plot asymmetry tests (Begg and Egger), Baujat, and Galbraith analyses assessed heterogeneity and potential publication bias. Cochrane RevMan (version 2.0) evaluated the risk of bias. Results: Curcumin supplementation significantly reduced TG levels [mean difference (MD): -16.76 mg/dL, REM], TC levels (MD: -10.59 mg/dL, FEM), and BMI (MD: -0.94 kg/m Conclusion: Curcumin effectively reduced levels of TG, TC, and BMI in patients with metabolic diseases. However, its effects on HDL-C and LDL-C were inconsistent and non-significant under random-effects models, indicating limited efficacy for these endpoints. Providing a more detailed context for the variability in lipid outcomes enhances understanding, especially for non-expert audiences.

Indexed as

blood lipidbody mass indexcurcuminmetametabolic diseases

Identifiers

PMID41178944
PMCPMC12571630

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.