Evidence map›Paper›PMID 38188577›Full record

ArticleFrontiers in microbiology2023

Metabolites of the gut microbiota may serve as precise diagnostic markers for sarcopenia in the elderly.

Yangli He, Weipeng Cui, Tuanyu Fang, Zeng Zhang, Min Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. ProbioticBrain sciences · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Causal Relationship Between Gut Microbiota, Metabolites, and Sarcopenia: A Mendelian Randomization Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  14. Article
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 at 3 institutions in 1 country.

Yangli He *Center of Geriatrics, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China.
Weipeng Cui *School of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, Hainan, China.
Tuanyu Fang *Department of Endocrine, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China.
Zeng ZhangSchool of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou, Hainan, China.
Min ZengCenter of Geriatrics, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan Province, China.
Hainan General Hospital · CNHainan University · CNHainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia, a disease recognized by the World Health Organization, has posed a great challenge to the world in the current aging society. The vital role of the gut microbiome through the gut-muscle axis in sarcopenia is increasingly recognized. However, the working mechanisms by which the gut microbiota functions have not been fully explored in the multi-omics field. Here, we designed a cross-sectional study that recruited patients (

Indexed as

gut metagenomegut microbiotagut-muscle axismetabolomicsarcopenia

Identifiers

PMID38188577
PMCPMC10768011
OpenAlexW4390056458

What OpenQuestion 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 OpenQuestion graph.