Evidence map›Paper›PMID 39057810›Full record

ArticlePathogens (Basel, Switzerland)2024

Clustering of Gastrointestinal Microorganisms in Human Stool Samples from Ghana.

Joy Backhaus, Simone Kann, Andreas Hahn, Felix Weinreich, Martin Blohm, Konstantin Tanida, Torsten Feldt, Fred Stephen Sarfo, Veronica Di Cristanziano, Ulrike Loderstädt and 5 more

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Journal of medical microbiology · 2026
    Review
  3. Article
  4. Tropical medicine and infectious disease · 2025
    Review
  5. Evaluation of Each ThreeMicroorganisms · 2025
    Article
  6. High Clinical Burden ofMicroorganisms · 2024
    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

15 authors.

Joy BackhausStatistical Consulting, 97074 Wuerzburg, Germany.
Simone KannDepartment of Microbiology and Hospital Hygiene, Bundeswehr Central Hospital Koblenz, 56070 Koblenz, Germany.
Andreas HahnInstitute for Medical Microbiology, Virology and Hygiene, University Medicine Rostock, 18057 Rostock, Germany.ORCID 0000-0002-5157-8369
Felix WeinreichGerman-Dutch Corps, 48143 Münster, Germany.ORCID 0000-0001-9173-7072
Martin BlohmLaboratory Department, Bundeswehr Hospital Berlin, 10115 Berlin, Germany.
Konstantin TanidaInstitute for Microbiology, Virology and Hygiene, University Hospital Eppendorf, 20251 Hamburg, Germany.ORCID 0000-0003-0198-3291
Torsten FeldtDepartment of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany.ORCID 0000-0002-6755-4492
Fred Stephen SarfoDepartment of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi 00233, Ghana.
Veronica Di CristanzianoInstitute of Virology, Faculty of Medicine and University Hospital of Cologne, University of Cologne, 50935 Cologne, Germany.ORCID 0000-0003-1604-8386
Ulrike LoderstädtInstitute for Infection Control and Infectious Diseases, University Medical Center Göttingen, 37075 Göttingen, Germany.
Stephan EhrhardtDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA 21205, USA.
Stefanie SchoppenDepartment of Health and Social Science, Hochschule Fresenius, 20148 Hamburg, Germany.
Harry TagborSchool of Medicine, Department of Community Health, University of Health and Allied Sciences, Ho PMB 31, Ghana.ORCID 0000-0002-9300-665X
Hagen FrickmannInstitute for Medical Microbiology, Virology and Hygiene, University Medicine Rostock, 18057 Rostock, Germany.ORCID 0000-0002-8967-9528
Kirsten Alexandra EberhardtDepartment of Tropical Medicine, Bernhard Nocht Institute for Tropical Medicine & I. Department of Medicine, University Medical Center, 20359 Hamburg, Germany.ORCID 0000-0002-1002-0326

Funding

ESTHER Alliance for Global Health Partnerships and the German Federal Ministry of Education and Research 01KA1102German Ministry of Defense (MoD) 36K2-S-45 1922German Research Council (Deutsche Forschungsgemeinschaft; DFG) 68748488
6 · The paper itself

Abstract

The study was conducted to identify cluster patterns of enteric microorganisms with potential etiological relevance for infectious gastroenteritis in stool samples of individuals from Ghana, which is a known high-endemicity setting for infectious gastroenteritis. These patterns were compared to previous observations with specimens from Colombian indigenous people in order to assess potentially stable clustering for temporally and spatially distinct populations from high-endemicity regions. By doing so, the study aimed to identify stable clusters as markers of microbial interaction with potential importance for etiological relevance assignment in cases of multiple enteric pathogen detections. Stool samples from 1569 Ghanaian individuals (875 from HIV patients, 30 from HIV-negative control adult patients, and 644 from children < 2 years of age) were assessed for enteric microorganisms by applying real-time PCR. As a result, nucleic acids of bacterial microorganisms were most frequently detected, followed by protozoa, microsporidia, and helminths. Interestingly, the cluster assessment confirmed interaction patterns known from the previous analysis with Colombian indigenous people, demonstrating a high likelihood of

Indexed as

FecesGastroenteritisAdolescentAdultAgedBacteriaChildChild, PreschoolCluster AnalysisFemaleGastrointestinal MicrobiomeGhanaHIV InfectionsHumansInfantMalecluster analysiscommensaletiological relevancegastrointestinal infectionshigh-prevalence settingpathogen

Identifiers

PMID39057810
PMCPMC11279407

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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.