Evidence map›Paper›PMID 38265338›Full record

SynthesisGut microbes

Meta-analysis reveals obesity associated gut microbial alteration patterns and reproducible contributors of functional shift.

Deep Chanda, Debojyoti De

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 pooled it
18.5field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 4 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Impacts of Lifestyle and Microbiota-Targeted Interventions for Overweight and Obesity on the Human Gut Microbiome: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
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  7. Trial
  8. Review
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  12. Article
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  14. The gut microbiota in malnutrition.Nature reviews. Microbiology · 2026
    Review
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5 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Deep ChandaLaboratory of Cellular Differentiation & Metabolic Disorder, Department of Biotechnology, National Institute of Technology, Durgapur, India.
Debojyoti DeLaboratory of Cellular Differentiation & Metabolic Disorder, Department of Biotechnology, National Institute of Technology, Durgapur, India.ORCID 0000-0002-6958-7765
National Institute of Technology Durgapur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of cohort-specific studies associating gut microbiota with obesity are often contradictory; thus, the replicability of the signature remains questionable. Moreover, the species that drive obesity-associated functional shifts and their replicability remain unexplored. Thus, we aimed to address these questions by analyzing gut microbial metagenome sequencing data to develop an in-depth understanding of obese host-gut microbiota interactions using 3329 samples (Obese,

Indexed as

Gastrointestinal MicrobiomeAmino AcidsBacteroidesHumansObesityRNA, Ribosomal, 16SAmino AcidsRNA, Ribosomal, 16Sfunctional contributorsgut microbial associationmachine learningmeta-analysisobesity

Identifiers

PMID38265338
PMCPMC10810176
OpenAlexW4391167907

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.