Proposed triggers for retiring a living systematic review

Abstract: Living systematic reviews (LSRs) are systematic reviews that are continually updated, incorporating relevant new evidence as it becomes available. LSRs are critical for decision-making in topics where the evidence continues to evolve. It is not feasible to continue to update LSRs indefinitely; however, guidance on when to retire LSRs from the living mode is not clear. We propose triggers for making such a decision. The first trigger is to retire LSRs when the evidence becomes conclusive for the outcomes that are required for decision-making. Conclusiveness of evidence is best determined based on the GRADE certainty of evidence construct, which is more comprehensive than solely relying on statistical considerations. The second trigger to retire LSRs is when the question becomes less pertinent for decision-making as determined by relevant stakeholders, including people affected by the problem, healthcare professionals, policymakers and researchers. LSRs can also be retired from a living mode when new studies are not anticipated to be published on the topic and when resources become unavailable to continue updating. We describe examples of retired LSRs and apply the proposed approach using one LSR about adjuvant tyrosine kinase inhibitors in high-risk renal cell carcinoma that we retired from a living mode and published its last update

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch
Anmerkungen
BMJ evidence-based medicine. - 28, 5 (2023) , 348-352, ISSN: 2515-4478

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2023
Urheber
Murad, M. Hassan
Wang, Zhen
Chu, Haitao
Lin, Lifeng
El Mikati, Ibrahim K.
Khabsa, Joanne
Akl, Elie A.
Nieuwlaat, Robby
Schünemann, Holger J.
Riaz, Irbaz Bin

DOI
10.1136/bmjebm-2022-112100
URN
urn:nbn:de:bsz:25-freidok-2349423
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
25.03.2025, 13:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Beteiligte

  • Murad, M. Hassan
  • Wang, Zhen
  • Chu, Haitao
  • Lin, Lifeng
  • El Mikati, Ibrahim K.
  • Khabsa, Joanne
  • Akl, Elie A.
  • Nieuwlaat, Robby
  • Schünemann, Holger J.
  • Riaz, Irbaz Bin
  • Universität

Entstanden

  • 2023

Ähnliche Objekte (12)