ArticleJournal of orthopaedics2018
Evaluation of the Multi-Attribute Prioritisation Tool for Total Joint Replacement.
Article in Journal of orthopaedics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 3 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- Patient prioritisation methods to shorten waiting times for elective surgery: A systematic review of how to improve access to surgery.PloS one · 2021Pooled it
- Pooled it
- Clinical efficacy of OrthoPilot navigation system versus conventional manual total hip arthroplasty: A systematic review and meta-analysis.The Journal of international medical research · 2019Pooled it
- Systematic literature review on biopsychosocial factors in the surgical waiting list.Clinics (Sao Paulo, Brazil) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RATIONALE AIMS AND
objectivesThe demand for arthroplasty is increasing and will continue to rise with an ageing population. Obesity and lengthy waiting time for Total Joint Replacement (TJR) have been associated with poorer outcomes postoperatively. This study aimed to evaluate the Multi-Attribute Prioritisation Tool (MAPT) for TJR patients. The primary objective was to explore if patients prioritised by the MAPT had an improvement in score post-operative. Further to identify any relationship between MAPT score and length of time on the waiting list or obesity.
methodThis retrospective cohort study included 308 patients undergoing total hip (n = 114) or total knee (n = 194) arthroplasty. We examined preoperative and postoperative MAPT scores of patients who had total hip or total knee arthroplasty. After assessing the difference between postoperative and preoperative MAPT scores, patients scores were compared to BMI and waiting time classes. BMI was allocated to less than 30, 30-35, 35-40 and greater than 40. Duration of time on the waiting list was allocated to less than 6 months and greater than 6 months.
resultsTHA and TKA patients MAPT scores improved from a preoperative score of 71.39-5.26 postoperative and 54.11 to 7.13 respectively. Patients whose MAPT scores placed them in the high priority category had a significant relationship with length of time on the waiting list (p < 0.01). There were no significant differences between length of time on the waiting list and improvement scores for low priority and middle priority patients. BMI had minimal effect on patients improvement score postoperative.
conclusionTJR patients prioritised by the MAPT questionnaire do experience pain relief as portrayed by a reduction in postoperative MAPT score. A longer length of time on the waiting list seems to effect the improvement a high priority patient can have postoperative.
Indexed as
Identifiers
What OpenQuestion holds
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.