Evidence map›Paper›PMID 40211685›Full record

ArticleOsong public health and research perspectives2025

Standardizing the approach to clinical-based human microbiome research: from clinical information collection to microbiome profiling and human resource utilization.

Jung Wook Kim, Eun Chae Choi, Kwang Jun Lee

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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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

3 authors.

Jung Wook KimDivision of Zoonotic and Vector Borne Diseases Research, Center for Infectious Disease Research, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Eun Chae ChoiDivision of Zoonotic and Vector Borne Diseases Research, Center for Infectious Disease Research, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Kwang Jun LeeDivision of Zoonotic and Vector Borne Diseases Research, Center for Infectious Disease Research, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.

Funding

Korea National Institute of Health 2023-NI-019-01
6 · The paper itself

Abstract

backgroundThis study presents the standardized protocols developed by the Clinical-Based Human Microbiome Research and Development Project (cHMP) in the Republic of Korea.

methodsIt addresses clinical metadata collection, specimen handling, DNA extraction, sequencing methods, and quality control measures for microbiome research.

resultsThe cHMP involves collecting samples from healthy individuals and patients across various body sites, including the gastrointestinal tract, oral cavity, respiratory system, urogenital tract, and skin. These standardized procedures ensure consistent data quality through controlled specimen collection, storage, transportation, DNA extraction, and sequencing. Sequencing encompasses both amplicon and whole metagenome methods, followed by stringent quality checks. The protocols conform to international guidelines, ensuring that the data generated are both reliable and comparable across microbiome studies.

conclusionThe cHMP underscores the importance of methodological standardization in enhancing data integrity, reproducibility, and advancing microbiome-based research with potential applications for improving human health outcomes.

Indexed as

MetagenomicsMicrobiotaStandardization

Identifiers

PMID40211685
PMCPMC12245529

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.