Evidence map›Paper›PMID 39213091›Full record

ReviewJournal of Parkinson's disease2024

Advice to People with Parkinson's in My Clinic: Probiotics and Prebiotics.

Jia Wei Hor, Tzi Shin Toh, Shen-Yang Lim, Ai Huey Tan

Abstract readReview
In one paragraph

Review in Journal of Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Management of Gastrointestinal Symptoms in Parkinson's Disease.Journal of central nervous system disease · 2025
    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

4 authors.

Jia Wei HorDepartment of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Tzi Shin TohDepartment of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Shen-Yang LimDepartment of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Ai Huey TanDepartment of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is increasing evidence that microbial-based therapies can be useful in people with Parkinson's disease (PD). In this viewpoint, we provide a state-of-the-art review of the clinical and pre-clinical evidence for probiotics and prebiotics in PD. Currently, short-term clinical studies, including double-blind placebo-controlled randomized clinical trials, have demonstrated safety, and efficacy primarily in improving constipation-related symptoms. Pre-clinical studies consistently reported improvements in a range of biological markers and outcomes, including evidence for attenuation of gut dysfunction and neuroprotection. Bacteria from the genus Lactobacillus and Bifidobacterium have been the most frequently studied both in clinical and pre-clinical probiotics studies, while research into prebiotics is still limited and primarily involved resistant starch and fructooligosaccharides. We provide practical suggestions for clinicians on how to advise patients in the clinic regarding these popular treatments, and important caveats to be aware of. Finally, areas for further advancements are highlighted. It is envisaged that in the future, microbial-based therapies may benefit from personalization based on an enhanced understanding of a whole range of host factors and host-microbiome interactions.

Indexed as

Gastrointestinal MicrobiomeParkinson DiseasePrebioticsProbioticsHumansPrebioticsconstipationgastrointestinalmicrobiomeParkinson’s diseaseprebioticsProbiotics

Identifiers

PMID39213091
PMCPMC11492197

What OpenQuestion holds

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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.