Evidence map›Paper›PMID 35435739›Full record

ArticleMicrobiology spectrum2022

The Chronic Wound Phageome: Phage Diversity and Associations with Wounds and Healing Outcomes.

Samuel Verbanic, John M Deacon, Irene A Chen

Abstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  15. Bacteriophage-based strategies for biocontrol and treatment of infectious diseases.Computational and structural biotechnology journal · 2025
    Review
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  18. Article
  19. Direct metagenomics investigation of non-surgical hard-to-heal wounds: a review.Annals of clinical microbiology and antimicrobials · 2024
    Review
  20. Review
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.

Samuel VerbanicDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, California, USA.
John M DeaconGoleta Valley Cottage Hospital, Ridley-Tree Center for Wound Management, Santa Barbara, California, USA.
Irene A ChenDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, California, USA.ORCID 0000-0001-6040-7927

Funding

Understanding how bacteriophages affect wound ecologies and developing new tools to harness bacteria-phage interactionsDP2GM123457 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI CHEN, IRENE ANN · 2016 to 2016
$2.3M
NIGMS NIH HHS DP2 GM123457
6 · The paper itself

Abstract

Two leading impediments to chronic wound healing are polymicrobial infection and biofilm formation. Recent studies have characterized the bacterial fraction of these microbiomes and have begun to elucidate compositional correlations to healing outcomes. However, the factors that drive compositional shifts are still being uncovered. The virome may play an important role in shaping bacterial community structure and function. Previous work on the skin virome determined that it was dominated by bacteriophages, viruses that infect bacteria. To characterize the virome, we enrolled 20 chronic wound patients presenting at an outpatient wound care clinic in a microbiome survey, collecting swab samples from healthy skin and chronic wounds (diabetic, venous, arterial, or pressure) before and after a single, sharp debridement procedure. We investigated the virome using a virus-like particle enrichment procedure, shotgun metagenomic sequencing, and a

Indexed as

BacteriophagesMicrobiotaVirusesBacteriaHumansMetagenomicsViromeWound Healingchronic woundmicrobiomephageomevirome

Identifiers

PMID35435739
PMCPMC9248897

What OpenQuestion holds

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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.