Evidence map›Paper›PMID 19826516›Full record

ArticleIndian journal of orthopaedics2008

Users' guide to the orthopaedic literature: what is a cost-effectiveness analysis?

Stephanie Tanner, Sheila Sprague, Kyle Jeray

Abstract read
In one paragraph

Article in Indian journal of orthopaedics, 2008. 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. The Learning Curve for the Latarjet Procedure: A Systematic Review.Orthopaedic journal of sports medicine · 2018
    Review
  2. 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.

Stephanie TannerDepartment of Orthopaedic Surgery, Greenville Hospital System, Greenville, South Carolina, USA.
Sheila Sprague
Kyle Jeray

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the cost of healthcare continue to rise, orthopaedic surgeons are being pressured to practice cost-effective healthcare. Consequently, economic evaluation of treatment options are being reported more commonly in medical and surgical literature. As new orthopaedic procedures and treatments may improve patient outcome and function over traditional treatment options, the effect of the potentially higher costs of new treatments should be formally evaluated. Unfortunately, the resources available for healthcare spending are typically limited. Therefore, cost-effectiveness analyses have become an important and useful tool in informing which procedure or treatment to implement into practice. Cost-effectiveness analysis is a type of economic analysis that compares both the clinical outcomes and the costs of new treatment options to current treatment options or standards of care. For a clinician to be able to apply the results of a cost-effectiveness analysis to their practice, they must be able to critically review the available literature. Conducting an economic analysis is a challenging process, which has resulted in a number of published economic analyses that are of lower quality and may be fraught with bias. It is important that the reader of an economic analysis or cost-effectiveness analysis have the skills required to properly evaluate and critically appraise the methodology used before applying the recommendations to their practice. Using the principles of evidence-based medicine and the questions outlined in the Journal of the American Medical Association's Users' Guide to the Medical Literature, this article attempts to illustrate how to critically appraise a cost-effectiveness analysis in the orthopaedic surgery literature.

Indexed as

Cost-effectivenesscritical appraisalevidence-based medicinehierarchy of evidence

Identifiers

PMID19826516
PMCPMC2759615

What OpenQuestion holds

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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.