Evidence map›Paper›PMID 39057778›Full record

ArticlePathogens (Basel, Switzerland)2024

Simulation and Modeling of the Adhesion of

Sarees Shaikh, Abdul Nafay Saleem, Patrick Ymele-Leki

Abstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. A Predictive Computational Framework forPathogens (Basel, Switzerland) · 2026
    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

3 authors.

Sarees ShaikhDepartment of Chemical Engineering, Howard University, Washington, DC 20059, USA.
Abdul Nafay SaleemDepartment of Electrical Engineering and Computer Science, Howard University, Washington, DC 20059, USA.
Patrick Ymele-LekiDepartment of Chemical Engineering, Howard University, Washington, DC 20059, USA.ORCID 0000-0002-8504-0540

Funding

National Science Foundation (NSF) CBET Excellence in Research Award 1955034National Science Foundation (NSF) CMMI Excellence in Research Award 2000330
6 · The paper itself

Abstract

Bacterial adhesion to biotic and abiotic surfaces under fluid shear stress plays a major role in the pathogenesis of infections linked to medical implants and tissues. This study employed an automated BioFlux 200 microfluidic system and video microscopy to conduct real-time adhesion assays, examining the influence of shear stress on adhesion kinetics and spatial distribution of

Indexed as

Bacterial AdhesionStaphylococcus aureusStress, MechanicalSurface PropertiesComputer SimulationHumansMicrofluidicsShear StrengthStaphylococcal InfectionsadhesionbacteriaBioFluxCOMSOLPythonshear stressStaphylococcus aureus

Identifiers

PMID39057778
PMCPMC11280353

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.