Evidence map›Paper›PMID 19911242›Full record

ArticleClinical orthopaedics and related research2010

Unmet needs and waiting list prioritization for knee arthroplasty.

Mercè Comas, Rubén Román, José Maria Quintana, Xavier Castells, IRYSS Modelling Group

Abstract read
In one paragraph

Article in Clinical orthopaedics and related research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

5 authors.

Mercè ComasEvaluation and Clinical Epidemiology Department, Hospital del Mar-IMIM, Passeig Marítim, 25-29, Barcelona 08003, Spain.
Rubén Román
José Maria Quintana
Xavier Castells
IRYSS Modelling Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a high volume of unmet needs for knee arthroplasty in the population despite the increase in surgery rates. Given the long waiting times to have a knee arthroplasty, some governments have proposed prioritization systems for patients on waiting lists based on their level of need. QUESTIONS/PURPOSES: We therefore estimated the needs and demand of knee arthroplasty in four regions of Spain during a 5-year period.

methodsWe developed a discrete event simulation model to reproduce the process of knee arthroplasty. The prioritization system was compared with the usual waiting list management strategy (by waiting time only).

resultsUnder the prioritization system, patients saved an average of 4.5 months (95% confidence interval, 4.4-4.6 months) adjusted by level of need. The proportion of patients who experienced excessive waiting times was small and was associated with low levels of priority. The 5-year projection of the volume of unmet needs for knee arthroplasty remained stable; however, although the volume of need for the first knee arthroplasty decreased by 12%, the volume of need for an arthroplasty in the contralateral knee increased by 50%.

conclusionsThe data suggested the prioritization system was more beneficial than assigning surgery by waiting time only. The 5-year projection of the volume of unmet needs for knee arthroplasty remained stable, despite the increase in the need for contralateral knee arthroplasty. LEVEL OF EVIDENCE: Level II, economic and decision analyses. See Guidelines for Authors for a complete description of levels of evidence.

Indexed as

Patient SelectionWaiting ListsArthroplasty, Replacement, KneeCatchment Area, HealthComputer SimulationFemaleHealth PrioritiesHealth Services Needs and DemandHumansMaleMiddle AgedModels, OrganizationalSpain

Identifiers

PMID19911242
PMCPMC2816778

What OpenQuestion holds

Textmetadata
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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.