No Map For SLAPs: Study Quality Is Poorly Defined By Outcome - - PowerPoint PPT Presentation

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No Map For SLAPs: Study Quality Is Poorly Defined By Outcome - - PowerPoint PPT Presentation

No Map For SLAPs: Study Quality Is Poorly Defined By Outcome Measure Utilization Brendan A. Williams, MD Ralph D. Michel, BS Gregory Y. LaChaud, MD Kevin W. Farmer, MD Joseph J. King, MD My co-authors and I have nothing to disclose


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SLIDE 1

No Map For SLAPs: Study “Quality” Is Poorly Defined By Outcome Measure Utilization

Orthopaedic Summit 2017

My co-authors and I have nothing to disclose

Brendan A. Williams, MD Ralph D. Michel, BS Gregory Y. LaChaud, MD Kevin W. Farmer, MD Joseph J. King, MD

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SLIDE 2

Purpose/Hypothesis

  • Background: Substantial variability exists in outcome measure

reporting in much of the orthopaedic literature

  • Aim #1: Quantitatively describe outcome measure utilization in

the SLAP tear literature over the last decade

  • Aim #2: Evaluate whether outcome measure utilization relates to

study “quality” – Quality metrics:

  • Level of evidence (LOE)
  • SCImago Scientific Journal Rank (SJR)
  • Hypothesis: Higher quality studies will demonstrate greater
  • utcome measure utilization
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SLIDE 3

Methods

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SLIDE 4

Studies reviewed for:

  • Journal and study characteristics
  • Study demographics
  • Clinician Measured Outcomes (CMOs)
  • Patient-Reported Outcomes (PROs)
  • Other Reported Outcomes (OROs)

Descriptive Analyses (Aim #1):

  • Study Demographics
  • Outcome Measure Utilization

Univariate Analyses (Aim #2):

  • High (I/II) vs. Low (III/IV) LOE
  • High (>2) vs. Low (<2) SJR

Methods

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SLIDE 5

Results

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SLIDE 6

Results

Aim #2 SCImago Scientific Journal Rank (SJR):

  • Follow-up: High SJR > Low (p=0.046)
  • US > among High SJR (p=0.0003)

Level of Evidence (LOE):

  • # of CMOs: High LOE > Low (p=0.018)
  • PE Findings: High > Low (p=0.003)
  • Revision Sx Rate: High > Low

(p=0.036)

  • US > among Low LOE (p=0.003)

No difference between high/low SJR & LOE in utilization of or total # of PROs Aim #1

0.84/study 2.67/study

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SLIDE 7

Conclusions

  • Considerable variability exists in outcome measure utilization

– Most common PROs: ASES, VAS-Pain, Constant – CMOs are not routinely reported (<1/study) – Complication/Revision Surgery Rates in <50% of studies

  • There is little distinguishing higher and lower “quality” studies in
  • utcome measure utilization

– Exceptions (LOE): CMOs, PE findings, revision surgery rate Recommendations:

  • Improve reporting of complication and revision surgery rates
  • Standardize PRO use to enable cross-study comparison
  • Raise outcome utilization standards for publication in high impact

journals

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SLIDE 8

Questions?

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SLIDE 9

Thank You