Evidence map›Paper›PMID 31886401›Full record

ArticleArthroplasty today2019

Surgical selection criteria compliance is associated with a lower risk of periprosthetic joint infection in total hip arthroplasty.

Aidan T Morrell, Gregory J Golladay, Stephen L Kates

Open access · goldAbstract read
In one paragraph

Article in Arthroplasty today, 2019. 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
2.0field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Antibiotic Tolerance ofAntibiotics (Basel, Switzerland) · 2020
    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.

Aidan T MorrellSchool of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Gregory J GolladayDepartment of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, USA.
Stephen L KatesDepartment of Orthopaedic Surgery, Virginia Commonwealth University, Richmond, VA, USA.
Virginia Commonwealth University · US

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
NCATS NIH HHS UL1 TR002649
6 · The paper itself

Abstract

backgroundPeriprosthetic joint infection (PJI) is a devastating complication of total hip arthroplasty (THA). Patient optimization represents an important target for PJI prevention. Unfortunately, best practice screening guidelines are not consistently followed by all surgeons. Our study aimed to determine both the degree and the effect that compliance with our institutional preoperative surgical selection criteria had on PJI rates for patients undergoing elective primary THA.

methodsA retrospective review was conducted on 455 elective primary THA procedures performed at an academic tertiary care center over a 2-year period. Institutional preoperative surgical selection criteria included the following: body mass index ≤40 kg/m

resultsSurgeon compliance with institutional preoperative selection criteria was 62.4% and ranged from 0.0% to 83.9%. Five of 455 patients developed a PJI. The total PJI rate was 1.1%. The compliant patient cohort had a PJI rate of 0.0%, while the noncompliant cohort had a PJI rate of 2.9% (

conclusionsThis study identified a statistically significant decrease in PJI rates among patients who met all preoperative screening criteria.

Indexed as

ArthroplastyHipInfectionPatient selectionReplacement

Identifiers

PMID31886401
PMCPMC6921180
OpenAlexW2991395720

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.