Evidence map›Paper›PMID 24719532›Full record

ArticleJournal of orthopaedics2014

A retrospective medium- to long-term results of 1500 AGC total knee replacements - An independent centre functional follow up and survivorship.

Amit Atrey, Mark C Edmondson, Debra East, Kim Miles, Adrian Butler-Manuel, Nigel Ellens

Abstract read
In one paragraph

Article in Journal of orthopaedics, 2014. 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
–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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Amit AtreyConquest Hospital, Hastings, East Sussex, UK.
Mark C EdmondsonConquest Hospital, Hastings, East Sussex, UK.
Debra EastConquest Hospital, Hastings, East Sussex, UK.
Kim MilesConquest Hospital, Hastings, East Sussex, UK.
Adrian Butler-ManuelConquest Hospital, Hastings, East Sussex, UK.
Nigel EllensConquest Hospital, Hastings, East Sussex, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe AGC knee is one of the most widely used knee replacements in the world with good survivorship in national joint registries, including the Swedish within which it remains the gold standard of risk. PURPOSE: However, there are few long term survivorship reviews from the centre other than those affiliated with the designer that also offer any insight into functional outcome. In this review, we present the results of one of the largest non-designer, medium- to long term follow-ups of the AGC knee replacement.

methodsA total of 1538 AGC knees were performed during a 15 year period, of which 902 were followed up by postal or telephone questionnaire using Oxford Knee Scores, Visual Analogue Scores (VASs) of function and pain and survival analysis.

results87.5% of patients reported excellent or good functional reports at final follow up and 90.3% reporting excellent or good pain scores. There is a mean survivorship of 95.88% at 15 years from the 1538 knees. 85.7% of patients had an Oxford score of between 12 and 40, with 71.2% scoring between 0 and 30. 65.6% of patients responded with a VAS of 0 or 1 at rest (minimum pain = 0) and 53.9% reported a VAS of 0 or 1 while walking.

interpretationOur study shows excellent mid to long term results in a large group of patients was achieved using the AGC TKR implanted by a variety of Consultants and trainee surgeons. This review and data from national registries suggest that in terms of both survivorship and function demonstrate the AGC knee replacement still remains the knee that newer designs must be measured against.

Indexed as

ArthroplastyFunctionKneeSurvivorship

Identifiers

PMID24719532
PMCPMC3978738

What OpenQuestion holds

Textmetadata
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.