Evidence map›Paper›PMID 38481560›Full record

ArticleArthroplasty today2024

Patient Perceptions and Interest in Robotic-Assisted Total Joint Arthroplasty.

Jerry Chang, Christine Wu, Zoe Hinton, Sean Ryan, William Jiranek, Michael Bolognesi, Thorsten Seyler

Open access · goldAbstract read
In one paragraph

Article in Arthroplasty today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 pooled it
6.3field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 11 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Jerry ChangDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
Christine WuDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
Zoe HintonDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
Sean RyanDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
William JiranekDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
Michael BolognesiDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
Thorsten SeylerDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
Duke University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic-assisted total joint arthroplasty (rTJA) has growing interest among patients and surgeons. However, patient interest in and perceptions of rTJA have not been well explored. We sought to investigate the influence of patient demographics on interest in rTJA and patient perceptions regarding rTJA. Methods: Patients presenting for their initial adult reconstruction consultation received an optional anonymous survey prior to seeing the provider. Patient sociodemographic parameters were recorded. Additional questions assessed interest in and perceptions surrounding rTJA. Results were analyzed to determine whether patient factors correlated with survey responses. Results: A total of 360 patients participated. Analysis of responses revealed 77.8% of patients were interested in rTJA. Interest level positively correlated with patient age (R Conclusions: Patient interest in rTJA varies between patients. Many patients have an incomplete understanding of rTJA, and orthopaedic surgeons should address patient perceptions during surgical consultation. Level of Evidence: IV, Cross-sectional study.

Indexed as

ArthroplastyPatient perspectiveRoboticsSurvey

Identifiers

PMID38481560
PMCPMC10933468
OpenAlexW4392482793

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.