Evidence map›Paper›PMID 30238315›Full record

SynthesisEuropean journal of nutrition2019

Effects of products designed to modulate the gut microbiota on hyperlipidaemia.

Xilong Deng, Jie Ma, Meiting Song, Ye Jin, Cheng Ji, Weihong Ge, Changrun Guo

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Molecules (Basel, Switzerland) · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. FermentedFrontiers in pharmacology · 2022
    Article
  16. Review
  17. Impact of Gut Microbiota and Microbiota-Related Metabolites on Hyperlipidemia.Frontiers in cellular and infection microbiology · 2021
    Review
  18. Article
  19. Review
  20. 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

7 authors at 2 institutions in 1 country.

Xilong DengState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, 210009, People's Republic of China.
Jie MaSchool of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210009, People's Republic of China.
Meiting SongState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, 210009, People's Republic of China.
Ye JinYangzhou Hospital of Traditional Chinese Medicine, Yangzhou, 225000, People's Republic of China.
Cheng JiDepartment of Pharmacy, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210009, People's Republic of China.
Weihong GeDepartment of Pharmacy, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, 210009, People's Republic of China. 6221230@sina.com.
Changrun GuoState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, 210009, People's Republic of China. crguocpu@126.com.
China Pharmaceutical University · CNNanjing Drum Tower Hospital · CN

Funding

National Natural Science Foundation of China 81703677
6 · The paper itself

Abstract

purposeFatalities due to heart and cerebrovascular diseases caused by uncontrolled hyperlipidaemia increase every year; on the other hand, lipid-lowering drugs are known to cause side effects. The gut microbiota has been thoroughly investigated by researchers and consumers, because they have unique functional properties and littler side effects. However, the effects of the gut microbiota remain controversial. We conducted a meta-analysis to assess the effects of products designed to modulate the gut microbiota on various hyperlipidaemias.

methodsWe systematically searched PubMed, Embase, Cochrane Library (Central), and Web of Science for randomized controlled trials (published before June 2017, and those only in English) to compare treatment (products designed to modulate the gut microbiota) versus placebo. Our main endpoints were total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in serum. We assessed pooled data using a fixed effects model.

resultsOf 1337 identified studies, 21 were eligible and included in our analysis (n = 1436 participants). The combined estimate of effect size for the impact of products designed to modulate the gut microbiota on serum TC (WMD - 11.07 mg/dL, 95% CI - 13.72 to - 8.43, p < 0.001), LDL-C (WMD - 10.96 mg/dL, 95% CI - 13.37 to - 8.56, p < 0.001), and HDL-C (WMD 0.72 mg/dL, 95% CI 0.06-1.38, p = 0.032) were statistically significant, while no significant effect was found on TG concentrations (WMD - 0.56 mg/dL, 95% CI - 5.59 to 4.47, p = 0.828). Subgroup analysis showed parallel trials, probiotics, and long-term intervention had better effects on lowering blood lipid levels.

conclusionProducts designed to modulate the gut microbiota results in changes of the plasma lipid concentrations and these changes may protect against cardiovascular disease.

Indexed as

Gastrointestinal MicrobiomeHumansHyperlipidemiasHypolipidemic AgentsProbioticsHypolipidemic AgentsHyperlipidaemiaMeta-analysisProducts designed to modulate the gut microbiotaRandomized clinical trial

Identifiers

PMID30238315
OpenAlexW2890280666

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.