Evidence map›Paper›PMID 37010966›Full record

ReviewSurgical infections2023

Role of Resident Microbial Communities in Biofilm-Related Implant Infections: Recent Insights and Implications.

Mara A Serbanescu, Camille G Apple, Joseph S Fernandez-Moure

Open access · greenAbstract readReview
In one paragraph

Review in Surgical infections, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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 at 1 institution in 1 country.

Mara A SerbanescuDepartment of Anesthesia, Acute Care Surgery, and Surgical Critical Care, Department of Surgery, Duke University Medical Center, Duke University School of Medicine, Durham, North Carolina, USA.
Camille G AppleDivision of Trauma, Acute Care Surgery, and Surgical Critical Care, Department of Surgery, Duke University Medical Center, Duke University School of Medicine, Durham, North Carolina, USA.
Joseph S Fernandez-MoureDivision of Trauma, Acute Care Surgery, and Surgical Critical Care, Department of Surgery, Duke University Medical Center, Duke University School of Medicine, Durham, North Carolina, USA.
Duke University · US

Funding

INTEGRATED TRAINING IN ANESTHESIOLOGY RESEARCHT32GM008600 · NIGMS · DUKE UNIVERSITY · PI Miriam Treggiari · 1996 to 2026
$6.6M
NIGMS NIH HHS T32 GM008600
6 · The paper itself

Abstract

The use of medical implants continues to grow as the population ages. Biofilm-related implant infection is the leading cause of medical implant failure and remains difficult to diagnose and treat. Recent technologies have enhanced our understanding of the composition and complex functions of microbiota occupying various body site niches. In this review, we leverage data from molecular sequencing technologies to explore how silent changes in microbial communities from various sites can influence the development of biofilm-related infections. Specifically, we address biofilm formation and recent insights of the organisms involved in biofilm-related implant infections; how composition of microbiomes from skin, nasopharyngeal, and nearby tissue can impact biofilm-formation, and infection; the role of the gut microbiome in implant-related biofilm formation; and therapeutic strategies to mitigate implant colonization.

Indexed as

MicrobiotaStaphylococcal InfectionsBiofilmsHumansPostoperative ComplicationsProstheses and Implantsbiofilm-related implant infectiongut microbiomemetagenomic sequencingprosthetic joint infectionsStaphylococcus aureus

Identifiers

PMID37010966
PMCPMC11074437
OpenAlexW4362521049

What OpenQuestion holds

Textmetadata
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.