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      Efficacy of metformin therapy in patients with cancer: a meta-analysis of 22 randomised controlled trials

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          Abstract

          Background

          To investigate whether metformin monotherapy or adjunctive therapy improves the prognosis in patients with any type of cancer compared to non-metformin users (age ≥18).

          Methods

          Databases (Medline, Embase, and the Cochrane Central Register of Controlled Trials) and clinical trial registries ( ClinicalTrials.gov; the World Health Organization International Clinical Trials Registry Platform) were screened for randomized, controlled trials (RCT) reporting at least progression-free survival (PFS) and/or overall survival (OS). Main outcome measures included hazard ratios (HR), and combined HRs and 95% confidence intervals (CI) were calculated using random-effects models.

          Results

          Of the 8419 records screened, 22 RCTs comprising 5943 participants were included. Pooled HRs were not statistically significant in both PFS (HR 0.97, 95% CI 0.82–1.15, I 2  = 50%) and OS (HR 0.98, 95% CI 0.86–1.13, I 2  = 33%) for patients with cancer between the metformin and control groups. Subgroup analyses demonstrated that metformin treatment was associated with a marginally significant improvement in PFS in reproductive system cancers (HR 0.86, 95% CI 0.74–1.00) and a significantly worse PFS in digestive system cancers (HR 1.45, 95% CI 1.03–2.04). The PFS or OS was observed consistently across maintenance dose, diabetes exclusion, median follow-up, risk of bias, and combined antitumoral therapies.

          Conclusion

          Metformin treatment was not associated with cancer-related mortality in adults compared with placebo or no treatment. However, metformin implied beneficial effects in the PFS of the patients with reproductive system cancers but was related to a worse PFS in digestive system cancers.

          Systematic review registration

          PROSPERO registration number CRD42022324672.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12916-022-02599-4.

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          Most cited references82

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Measuring inconsistency in meta-analyses.

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              RoB 2: a revised tool for assessing risk of bias in randomised trials

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                Author and article information

                Contributors
                liufangkun@csu.edu.cn
                jinfang_liu@csu.edu.cn
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                24 October 2022
                24 October 2022
                2022
                : 20
                : 402
                Affiliations
                [1 ]GRID grid.452223.0, ISNI 0000 0004 1757 7615, Department of Neurosurgery, , Xiangya Hospital, Central South University, ; Changsha, Hunan China
                [2 ]GRID grid.452223.0, ISNI 0000 0004 1757 7615, Hypothalamic Pituitary Research Center, , Xiangya Hospital, Central South University, ; Changsha, Hunan China
                [3 ]GRID grid.216417.7, ISNI 0000 0001 0379 7164, Department of Epidemiology and Health Statistics, Xiangya School of Public Health, , Central South University, ; Changsha, Hunan China
                [4 ]GRID grid.452708.c, ISNI 0000 0004 1803 0208, National Clinical Research Center for Mental Disorders and Department of Psychiatry, , The Second Xiangya Hospital of Central South University, ; Changsha, Hunan China
                [5 ]GRID grid.452223.0, ISNI 0000 0004 1757 7615, National Clinical Research Center for Geriatric Disorders, , Xiangya Hospital, Central South University, ; Changsha, Hunan China
                Author information
                http://orcid.org/0000-0002-1703-8836
                Article
                2599
                10.1186/s12916-022-02599-4
                9594974
                36280839
                6b064106-e1c8-462b-af20-5f9c5bd67dfb
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 17 June 2022
                : 10 October 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 82172685, 82001223, 81873635 and 81901401
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2022

                Medicine
                metformin,cancer,rcts,meta-analysis,cancer-related mortality
                Medicine
                metformin, cancer, rcts, meta-analysis, cancer-related mortality

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