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Adapting to change: experiences and recommendations from the Pain Management Collaboratory on modifying statistical analysis plans.

Publication ,  Journal Article
Yu, Q; George, SZ; Kyriakides, TC; Rhon, DI; Morasco, BJ; Dziura, J; Fritz, JM; Geda, M; Peduzzi, P; Long, CR
Published in: Pain Med
November 1, 2024

BACKGROUND: Best practices for clinical trials stipulate that statistical analysis plans (SAPs) need to be finalized before initiation of any analysis. However, there is limited guidance about when changes to SAPs are acceptable and how these changes should be incorporated into the research plan with appropriate documentation. METHODS: We conducted a survey of 12 pragmatic clinical trials (PCTs) in the Pain Management Collaboratory that evaluated nonpharmacological interventions for pain to assess the following SAP information: (1) location of statistical analysis details, (2) types of statistical analyses planned, (3) sponsor requirements, (4) templates used for development, (5) publication plan, (6) changes since trial launch, (7) process of documenting changes, and (8) process of updating the trial registry. RESULTS: All 12 PCTs provided details of their SAPs for the primary outcomes in the institutional review board-approved trial protocol; 8 included plans for secondary outcomes, and 6 included plans for tertiary/exploratory outcomes. Most PCTs made SAP changes after trial initiation, many as a result of COVID-19-related issues. Eleven of the PCTs were actively recruiting participants. Changes were made to sample size, study design, study arms, and analytical methods, all before the data lock/unblinding. In all cases, justification for the changes was documented in the trial protocol or SAP, signed off by the trial biostatistician and principal investigator, and reviewed/approved by an institutional review board, data and safety monitoring board, or sponsor. CONCLUSIONS: We recommend that SAP changes can be acceptable up to the time of data lock/unblinding. To maintain full transparency and necessary rigor, clear documentation of such changes should include details, rationale, date(s) such changes were implemented, and evidence of approval by relevant oversight bodies.

Duke Scholars

Published In

Pain Med

DOI

EISSN

1526-4637

Publication Date

November 1, 2024

Volume

25

Issue

Supplement_1

Start / End Page

S49 / S53

Location

England

Related Subject Headings

  • Research Design
  • Pragmatic Clinical Trials as Topic
  • Pain Management
  • Humans
  • Data Interpretation, Statistical
  • COVID-19
  • Anesthesiology
  • 5203 Clinical and health psychology
  • 4203 Health services and systems
  • 3202 Clinical sciences
 

Citation

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Yu, Q., George, S. Z., Kyriakides, T. C., Rhon, D. I., Morasco, B. J., Dziura, J., … Long, C. R. (2024). Adapting to change: experiences and recommendations from the Pain Management Collaboratory on modifying statistical analysis plans. Pain Med, 25(Supplement_1), S49–S53. https://doi.org/10.1093/pm/pnae073
Yu, Qilu, Steven Z. George, Tassos C. Kyriakides, Daniel I. Rhon, Benjamin J. Morasco, James Dziura, Julie M. Fritz, Mary Geda, Peter Peduzzi, and Cynthia R. Long. “Adapting to change: experiences and recommendations from the Pain Management Collaboratory on modifying statistical analysis plans.Pain Med 25, no. Supplement_1 (November 1, 2024): S49–53. https://doi.org/10.1093/pm/pnae073.
Yu Q, George SZ, Kyriakides TC, Rhon DI, Morasco BJ, Dziura J, et al. Adapting to change: experiences and recommendations from the Pain Management Collaboratory on modifying statistical analysis plans. Pain Med. 2024 Nov 1;25(Supplement_1):S49–53.
Yu, Qilu, et al. “Adapting to change: experiences and recommendations from the Pain Management Collaboratory on modifying statistical analysis plans.Pain Med, vol. 25, no. Supplement_1, Nov. 2024, pp. S49–53. Pubmed, doi:10.1093/pm/pnae073.
Yu Q, George SZ, Kyriakides TC, Rhon DI, Morasco BJ, Dziura J, Fritz JM, Geda M, Peduzzi P, Long CR. Adapting to change: experiences and recommendations from the Pain Management Collaboratory on modifying statistical analysis plans. Pain Med. 2024 Nov 1;25(Supplement_1):S49–S53.
Journal cover image

Published In

Pain Med

DOI

EISSN

1526-4637

Publication Date

November 1, 2024

Volume

25

Issue

Supplement_1

Start / End Page

S49 / S53

Location

England

Related Subject Headings

  • Research Design
  • Pragmatic Clinical Trials as Topic
  • Pain Management
  • Humans
  • Data Interpretation, Statistical
  • COVID-19
  • Anesthesiology
  • 5203 Clinical and health psychology
  • 4203 Health services and systems
  • 3202 Clinical sciences