The Impact of the Extent of Surgery on the Long-Term Outcomes of Patients with Low-Risk Differentiated Non-Medullary Thyroid Cancer: A Systematic Meta-Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Extraction
2.2. Risk of Bias Assessment
2.3. Pre-Intervention
- Domain 1: Bias due to confounding (see below)
- Domain 2: Bias in selection of participants into the study
- Inclusion of patients (consecutive inclusion of all patients eligible or a random sample is considered low risk of bias).
- Definition of low risk thyroid cancer?
2.4. At Intervention
- Domain 3: Bias in classification of intervention.
- Were intervention groups clearly defined?
2.5. Post Intervention
- Domain 4: Bias due to missing data
- TNM-stage available (see below)
- Reporting of high-risk patients (see below)
- Reporting of RAI treatment (see below)
- Reporting number of patients included per treatment arm (see below)
- Domain 5: Bias in measurement of outcomes
- Loss to follow-up (<5% is considered low risk of bias)
- Criteria for extent of surgery (see below)
- Reporting of outcome definition
2.6. Statistical Analysis
3. Results
3.1. Characteristics of the Selected Studies
3.2. Any Thyroid Cancer-Related Recurrence
3.3. Survival Outcomes
3.4. Sensitivity Analysis
3.5. Risk of Bias Assessment
3.6. Publication Bias
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
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Authors/Year of Publication | Country | Female (%) | Mean Age (Y) | Time of Surgery Stated | Study Design | Surgical Approach | Follow-Up | Outcomes Assessed | RAI Given (%) | Histological Subtypes Included | High Risk Patients Included (%) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
TL | TT | |||||||||||
Samaan 1983 [36] | USA | 73 | NA | 1951–1975 | Retrospective cohort study | 105 | 491 | 6–30 Y | Recurrence, OS | yes (34%) | PTC, FTC, HCC | yes |
Shah 1993 [37] | USA | 62 | 57 | 1930–1980 | Retrospective matched cohort study | 73 | 73 | 20 Y | Recurrence, DFS | yes * | PTC, FTC | yes |
Shaha 1997 [38] | USA | 74 | 31 | 1930–1985 | Retrospective cohort study | 280 | 90 | 20 Y | Recurrence, DSS | NA | PTC, FTC | no |
Hay 1998 [15] | USA | NA | 43 | 1940–1991 | Retrospective cohort study | 185 | 1082 | 16 Y | Recurrence, DFS, DSS | yes | PTC | no |
Sanders 1998 [39] | USA | 72 | 44 | 1940–1990 | Retrospective cohort study | 224 | 795 | 0–47 Y | Recurrence, OS, DSS | NA | PTC, FTC, HCC | yes |
Haigh 2004 [40] | USA | 77 | NA | 1988–1995 | Retrospective population-based cohort | 739 | 3663 | 1 mo–12 Y | OS | yes | PTC | Yes ** |
Bilimoria 2007 [16] | USA | 76 | 43 | 1985–1998 | Retrospective population-based cohort | 8946 | 43,227 | 5.8 Y | Recurrence, OS | yes | PTC | yes |
Mendelsohn 2010 [41] | USA | 78 | 44 | 1988–2001 | Retrospective population-based cohort | 5964 | 16,760 | 9.1 Y | OS, DSS | yes | PTC | yes |
Hassanain 2010 [29] | Canada | 73 | NA | 1982–2002 | Retrospective cohort study | 126 | 54 | 4–25 Y | Recurrence, DFS | yes (28.3%) | PTC, FTC | yes |
Ito 2010 [17] | Japan | 94 | 51.1 ± 12.4 | 1987–2005 | Retrospective cohort study | 1601 | 1037 | 0.5–34 Y | Recurrence, DSS | yes (0.1%) | PTC | no |
Barney 2010 [1] | USA | NA | NA | 1983–2002 | Retrospective population-based cohort | 3266 | 12,598 | 2 mo–19.9 Y | OS, DSS | yes | PTC, FTC | yes |
Vaisman 2011 [42] | USA | 84 | 45 ± 13 | 1986–2005 | Retrospective cohort study | 72 | 217 | 0.5–34 Y | Recurrence, DSS | no | PTC, HCC | no |
Nixon 2012 [43] | USA | 79 | 46 | 1986–2005 | Retrospective cohort study | 361 | 528 | 13 mo–24.3 Y | Recurrence, OS, DSS | yes | PTC, FTC, HCC | yes |
Ebina 2014 [18] | Japan | 76 | 54 ± 14 | 1993–2010 | Retrospective cohort study | 791 | 176 | 3–20 Y | Recurrence, DFS, DSS | yes | PTC | yes *** |
Adam 2014 [44] | USA | 80 | NA | 1998–2011 | Retrospective population-based cohort | 6849 | 54,926 | 5–14.9 Y | OS | yes | PTC | yes |
Kuba 2017 [45] | Japan | 86 | 53 | 1994–2008 | Retrospective matched cohort study | 120 | 53 | 11 mo–20.8 Y | OS, DFS | yes | PTC | yes |
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Bojoga, A.; Koot, A.; Bonenkamp, J.; de Wilt, J.; IntHout, J.; Stalmeier, P.; Hermens, R.; Smit, J.; Ottevanger, P.; Netea-Maier, R. The Impact of the Extent of Surgery on the Long-Term Outcomes of Patients with Low-Risk Differentiated Non-Medullary Thyroid Cancer: A Systematic Meta-Analysis. J. Clin. Med. 2020, 9, 2316. https://doi.org/10.3390/jcm9072316
Bojoga A, Koot A, Bonenkamp J, de Wilt J, IntHout J, Stalmeier P, Hermens R, Smit J, Ottevanger P, Netea-Maier R. The Impact of the Extent of Surgery on the Long-Term Outcomes of Patients with Low-Risk Differentiated Non-Medullary Thyroid Cancer: A Systematic Meta-Analysis. Journal of Clinical Medicine. 2020; 9(7):2316. https://doi.org/10.3390/jcm9072316
Chicago/Turabian StyleBojoga, Andreea, Anna Koot, Johannes Bonenkamp, Johannes de Wilt, Joanna IntHout, Peep Stalmeier, Rosella Hermens, Johannes Smit, Petronella Ottevanger, and Romana Netea-Maier. 2020. "The Impact of the Extent of Surgery on the Long-Term Outcomes of Patients with Low-Risk Differentiated Non-Medullary Thyroid Cancer: A Systematic Meta-Analysis" Journal of Clinical Medicine 9, no. 7: 2316. https://doi.org/10.3390/jcm9072316
APA StyleBojoga, A., Koot, A., Bonenkamp, J., de Wilt, J., IntHout, J., Stalmeier, P., Hermens, R., Smit, J., Ottevanger, P., & Netea-Maier, R. (2020). The Impact of the Extent of Surgery on the Long-Term Outcomes of Patients with Low-Risk Differentiated Non-Medullary Thyroid Cancer: A Systematic Meta-Analysis. Journal of Clinical Medicine, 9(7), 2316. https://doi.org/10.3390/jcm9072316