Scolaris Content Display Scolaris Content Display

Cochrane Database of Systematic Reviews

Regional analgesia for improvement of long‐term functional outcome after elective large joint replacement

This is not the most recent version

Information

DOI:
https://doi.org/10.1002/14651858.CD010278Copy DOI
Database:
  1. Cochrane Database of Systematic Reviews
Version published:
  1. 12 December 2012see what's new
Type:
  1. Intervention
Stage:
  1. Protocol
Cochrane Editorial Group:
  1. Cochrane Anaesthesia Group

Copyright:
  1. Copyright © 2012 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

Article metrics

Altmetric:

Cited by:

Cited 0 times via Crossref Cited-by Linking

Collapse

Authors

  • Arthur Atchabahian

    Correspondence to: Department of Anesthesiology, NYU Medical Center/Hospital for Joint Diseases, New York, USA

    [email protected]

  • Gary Schwartz

    Department of Anesthesiology, Maimonides Medical Center, Brooklyn, USA

  • Charles B Hall

    Division of Biostatistics, Department of Epidemiology and Population Health, Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, Mazer 220A, Bronx, USA

  • Claudette M Lajam

    NYU Langone Medical Center, Hospital for Joint Diseases, New York, USA

  • Michael H Andreae

    Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, New York, USA

Contributions of authors

Conceiving the review: Atchabahian A (AA)

Co‐ordinating the review: AA and Andreae MH (MHA)

Undertaking manual searches: AA and Schwartz GS (GS)

Screening search results: AA, GS and Claudette M Lajam (CMJ)

Organizing retrieval of papers: AA and GS

Screening retrieved papers against inclusion criteria: AA, CMJ and GS

Appraising quality of papers: AA, CMJ and GS

Abstracting data from papers: AA, CMJ and GS

Writing to authors of papers for additional information: AA, GS

Providing additional data about papers: AA, MHA and GS

Obtaining and screening data on unpublished studies: AA, CMJ and GS

Data management for the review: AA, MHA and GS

Entering data into Review Manager (RevMan 5.1): AA and GS

RevMan statistical data: AA, MHA and Charles B Hall (CBH)

Other statistical analysis not using RevMan: MHA and CBH

Double entry of data: (data entered by person one: AA; data entered by person two: GSS)

Interpretation of data: AA, MHA, CMJ and GSS

Statistical inferences: CBH, AA and MHA

Writing the review: AA, GA, CMJ and MHA

Securing funding for the review: AA

Performing previous work that was the foundation of the present study: AA and MHA

Guarantor for the review (one author): AA

Person responsible for reading and checking review before submission: AA and GS

Sources of support

Internal sources

  • Departmental, USA.

External sources

  • National Institutes of Health (NIH), USA, Not specified.

    • This publication was supported in part by the CTSA Grant UL1 RR025750 from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH), and NIH roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessary represent the official view of the NCRR or NIH.

Declarations of interest

All authors: none known.

Acknowledgements

We would like to thank Mark Neuman (content editor), Marialena Trivella (statistical editor), Edward R Mariano, Santosh Rath, Ulrik Grevstad (peer reviewers) for their help and editorial advice during the preparation of this protocol for the systematic review.

Version history

Published

Title

Stage

Authors

Version

2015 Aug 13

Regional analgesia for improvement of long‐term functional outcome after elective large joint replacement

Review

Arthur Atchabahian, Gary Schwartz, Charles B Hall, Claudette M Lajam, Michael H Andreae

https://doi.org/10.1002/14651858.CD010278.pub2

2012 Dec 12

Regional analgesia for improvement of long‐term functional outcome after elective large joint replacement

Protocol

Arthur Atchabahian, Gary Schwartz, Charles B Hall, Claudette M Lajam, Michael H Andreae

https://doi.org/10.1002/14651858.CD010278

Keywords

MeSH

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.