Evidence map›Paper›PMID 40548213›Full record

ReviewWorld journal of methodology2025

Surgical site soft tissue thickness as a predictor of complications following arthroplasty.

Kevin A Wu, Faheem Pottayil, Crystal Jing, Ankit Choudhury, Albert T Anastasio

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of methodology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kevin A WuDepartment of Orthopaedic Surgery, Duke University Hospital, Durham, NC 27710, United States. kevin.a.wu@duke.edu.
Faheem PottayilDepartment of Orthopaedic Surgery, Medical College of Georgia at Augusta University, Augusta, GA 30912, United States.
Crystal JingDepartment of Orthopaedic Surgery, Duke University Hospital, Durham, NC 27710, United States.
Ankit ChoudhuryDepartment of Orthopaedic Surgery, Medical College of Wisconsin, Milwaukee, WI 53226, United States.
Albert T AnastasioDepartment of Orthopaedic Surgery, Duke University Hospital, Durham, NC 27710, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Appreciation of soft-tissue thickness (STT) at surgical sites is an increasingly recognized aspect of arthroplasty procedures as it may potentially impacting postoperative outcomes. Recent research has focused on the predictive value of preoperative STT measurements for complications following various forms of arthroplasty, particularly infections, across procedures such as total knee, hip, shoulder, and ankle replacements. Several studies have indicated that increased STT is associated with a higher risk of complications, including infection and wound healing issues. The assessment of STT before surgery could play a crucial role in identifying patients at a higher risk of complications and may be instrumental in guiding preoperative planning to optimize outcomes in arthroplasty procedures. Standardized measurement techniques and further research are essential to enhance the reliability and clinical utility of STT assessment for arthroplasty surgery.

Indexed as

ArthroplastyInfection riskPreoperative assessmentSoft-tissue thicknessSurgical complicationsTotal ankle arthroplastyTotal hip arthroplastyTotal knee arthroplastyTotal shoulder arthroplastyWound healing

Identifiers

PMID40548213
PMCPMC11612724

What OpenQuestion holds

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Registered trials

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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.