NCMW: A Python Package to Analyze Metabolic Interactions in the Nasal Microbiome.

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

4 citing papers in PubMed, 8 citations in OpenAlex.

1. From microbiome composition to functional engineering, one step at a time.Microbiology and molecular biology reviews : MMBR · 2023
   Review
2. Hierarchical modelling of microbial communities.Bioinformatics (Oxford, England) · 2023
   Article
3. Genome-scale metabolic models consistently predictFrontiers in bioinformatics · 2023
   Article
4. Nutritional Interactions between Bacterial Species Colonising the Human Nasal Cavity: Current Knowledge and Future Prospects.Metabolites · 2022
   Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

3 authors at 2 institutions in 1 country.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as