Evidence map›Paper›PMID 36589176›Full record

ArticleCureus2022

Virtual Arthroplasty Follow-Up: Better for the Trust, Patients, and the Planet.

James D Richards, Michael Stoddart, Benjamin Bolland

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07041528 (How Do Patients and Health Care Professionals Perceive De-implementation of Routine Follow-ups After Total Hip and Knee Arthroplasty? Protocol for a Nested Qualitative Study Within a Hybrid De-implementation Trial), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 22% 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.

NCT07041528 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

How Do Patients and Health Care Professionals Perceive De-implementation of Routine Follow-ups After Total Hip and Knee Arthroplasty? Protocol for a Nested Qualitative Study Within a Hybrid De-implementation Trial

TypeobservationalSponsorTergooi Medical CenterRan2026 to 2028Enrolled90ConditionsHip Arthroplasty, Total, Knee Arthroplasty, Total
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Virtual arthroplasty follow-up (VARF) in total hip replacement: a safe, effective, and sustainable model for post-operative care.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
    Article
  4. Article
  5. 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 at 1 institution in 1 country.

James D RichardsTrauma and Orthopaedics, Musgrove Park Hospital, Taunton, GBR.
Michael StoddartTrauma and Orthopaedics, Musgrove Park Hospital, Taunton, GBR.
Benjamin BollandTrauma and Orthopaedics, Musgrove Park Hospital, Taunton, GBR.
Musgrove Park Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The Virtual Arthroplasty Follow-Up (VARF) Quality Improvement Project was initiated in March 2020 with the aim of improving patient experience while reducing costs to the trust, the patient, and the planet. Methodology This retrospective study was conducted in a district general hospital. Patients were assessed based on their Oxford Hip Score (OHS), University of California, Los Angeles (UCLA) activity score, and an X-ray. A patient satisfaction survey was undertaken via phone call using a 10-point questionnaire. These responses were then correlated to age, distance travelled, and OHS/UCLA scores. The environmental impact was estimated using CO

Indexed as

arthroplastyfollow-up appointmenthip arthroplastynet zeroorthopaedicsvirtual follow-up

Identifiers

PMID36589176
PMCPMC9796862
OpenAlexW4310128720

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.