ReviewComputational and structural biotechnology journal2021
Mathematical-based microbiome analytics for clinical translation.
Review in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Between Complexity and Translation: A Reflection on Cardiac EV Signaling, Subtype Function, and the Path to Clinical Validation.Cardiovascular drugs and therapy · 2026Article
- Targeting Inflammation in Bronchiectasis.Drugs · 2026Review
- Single-bacterial cell insights into mechanisms of ceftriaxone resistance in Neisseria subflava.Nature communications · 2026Article
- Different Prostatic Tissue Microbiomes between High- and Low-Grade Prostate Cancer Pathogenesis.International journal of molecular sciences · 2024Article
- Accelerated Lung Function Decline and Mucus-Microbe Evolution in Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2024Observational
- Unsung Heroes? Decoding the Protective Effects of Airway Microbiota in Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2024Article
- Infection and the microbiome in bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2024Review
- The Precision Medicine Era of Bronchiectasis.American journal of respiratory and critical care medicine · 2024Article
- Mechanisms and Clinical Implications of Human Gut Microbiota-Drug Interactions in the Precision Medicine Era.Biomedicines · 2024Review
- The salivary microbiome as a diagnostic biomarker of periodontitis: a 16S multi-batch study before and after the removal of batch effects.Frontiers in cellular and infection microbiology · 2024Article
- Microbial Dysregulation of the Gut-Lung Axis in Bronchiectasis.American journal of respiratory and critical care medicine · 2023Article
- Article
- Applying Next-Generation Sequencing and Multi-Omics in Chronic Obstructive Pulmonary Disease.International journal of molecular sciences · 2023Review
- The application of multi-omics in the respiratory microbiome: Progresses, challenges and promises.Computational and structural biotechnology journal · 2023Review
- Sensitisation to recombinantThe European respiratory journal · 2023Article
- ClinicalJournal of fungi (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditionally, human microbiology has been strongly built on the laboratory focused culture of microbes isolated from human specimens in patients with acute or chronic infection. These approaches primarily view human disease through the lens of a single species and its relevant clinical setting however such approaches fail to account for the surrounding environment and wide microbial diversity that exists
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.