Evidence map›Paper›PMID 40889940›Full record

ArticleHip & pelvis2025

A Comparison of

Jonathan Liu, Mohammad Daher, Noah Gilreath, Caitlin Barrett, Eric Cohen, Valentin Antoci

Abstract read
In one paragraph

Article in Hip & pelvis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Jonathan LiuDepartment of Orthopaedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID https://orcid.org/0000-0001-5817-292X
Mohammad DaherDepartment of Orthopaedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID https://orcid.org/0000-0002-9256-9952
Noah GilreathDepartment of Orthopaedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID https://orcid.org/0009-0009-7937-602X
Caitlin BarrettDepartment of Orthopaedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID https://orcid.org/0009-0006-5425-7962
Eric CohenDepartment of Orthopaedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID https://orcid.org/0000-0001-7056-6067
Valentin AntociDepartment of Orthopaedic Surgery, Warren Alpert Medical School of Brown University, Providence, RI, USA.ORCID https://orcid.org/0000-0001-8490-2690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The textured titanium surfaces used in many total hip arthroplasty (THA) implants are designed to promote osseointegration. However, these surface types may also facilitate bacterial adherence and risk of infection. This aim of this study is to characterize the bacterial growth and viability on the different titanium surfaces used in THA implants. Materials and Methods: Smooth and rough titanium samples were cleaned, sterilized, and prepared for bacterial testing. Results: Microtopographic differences between surfaces showed extensive irregularities in the rough samples as compared to the uniform grooved surface of the smooth samples. Confocal imaging showed greater bacterial coverage on the rough surfaces compared to smooth ones at all timepoint including 6 hours (7.85% vs. 3.89%, Conclusion: Our findings demonstrate that rough titanium surfaces allow for greater

Indexed as

Prosthetic joint infectionStaphylococcus aureusTitanium surface

Identifiers

PMID40889940
PMCPMC12417862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.