The synthesis of scientific shreds of evidence: a critical appraisal on systematic review and meta-analysis methodology.

Lung cancer meta-analysis methodology systematic review

Journal

Journal of thoracic disease
ISSN: 2072-1439
Titre abrégé: J Thorac Dis
Pays: China
ID NLM: 101533916

Informations de publication

Date de publication:
Jun 2020
Historique:
entrez: 10 7 2020
pubmed: 10 7 2020
medline: 10 7 2020
Statut: ppublish

Résumé

Synthesising results across studies to recognise the causes of variation in outcomes and to reach an overall understanding of a problem is a crucial part of the scientific method. Until in recent times, the results of scientific findings have been summarised in narrative reviews where the summary of transparent and objective results have become increasingly difficult. Systematic reviews and meta-analyses, conducted by subsequent strict protocols to guarantee reproducibility and decrease bias, have become more common in the synthesis of evidence.

Identifiants

pubmed: 32642265
doi: 10.21037/jtd.2020.03.07
pii: jtd-12-06-3399
pmc: PMC7330768
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

3399-3403

Informations de copyright

2020 Journal of Thoracic Disease. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/jtd.2020.03.07). The series “Early Stage Lung Cancer: Sublobar Resections are a Choice?” was commissioned by the editorial office without any funding or sponsorship. LB serves as an unpaid editorial board member of Journal of Thoracic Disease from Jan 2016 to Dec 2021. LS has no other conflicts of interest to declare.

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Auteurs

Luca Bertolaccini (L)

Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy.

Lorenzo Spaggiari (L)

Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.

Classifications MeSH