| Literature DB >> 33062316 |
Abstract
PURPOSE: Cataract and age-related macular degeneration (AMD) are the common causes of blindness in the elderly. Although cataract surgery is the most effective treatment for cataract, some clinicians suspect that such interventions may accelerate the progression of AMD. Therefore, we carried out this meta-analysis to focus on demonstrating the effectiveness and safety of cataract surgery in eyes with AMD.Entities:
Year: 2020 PMID: 33062316 PMCID: PMC7537699 DOI: 10.1155/2020/7863987
Source DB: PubMed Journal: J Ophthalmol ISSN: 2090-004X Impact factor: 1.909
Figure 1The trials selection process.
Characteristics of articles included in this meta-analysis.
| Author | Publish year | Study design | No. of cases/control | Location | Adjustment/match | AMD classification | Follow-up | OR/RR/HR | CI |
| Age |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Pollack | 1996 | Cohort | 47/47 | Asia | — | Early AMD | 1 year | RR = 4.500 | 1.027–19.726 | 0.054 | 80.4 (67–94) |
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| Lintje Ho | 2008 | Cohort | 6032 | Europe | Age, sex, follow-up time, and the correlation between eyes | AMD | 5.7 (2.8–9.7) | OR = 1.26 | 0.85–1.86 | — | ≥55 |
| Early AMD | OR = 1.31 | 0.88–1.95 | |||||||||
| Dry AMD | OR = 3.44 | 1.68–7.08 | |||||||||
| Wet AMD | OR = 0.93 | 0.35–2.49 | |||||||||
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| Jie Jin Wang | 2003 | Cohort | 6019 | Oceania and North America (BDES and BMES) | Baseline age, gender, smoking status (current, past, and never), and preexisting early-stage ARM lesions at baseline | Late AMD | 5 years | OR = 5.7 | 2.4–13.6 | — | — |
| Dry AMD | OR = 4.5 | 1.4–14.7 | |||||||||
| Wet AMD | OR = 4.9 | 1.9–12.4 | |||||||||
| North America (BDES) | Late AMD | OR = 7.3 | 2.6–20.4 | ||||||||
| Dry AMD | OR = 4.7 | 1.4–16.1 | |||||||||
| Wet AMD | OR = 6.8 | 1.9–24.3 | |||||||||
| Oceania (BMES) | Late AMD | OR = 4.2 | 1.0–17.5 | ||||||||
| Dry AMD | OR = 7.6 | 1.1–55.0 | |||||||||
| Wet AMD | OR = 3.1 | 0.7–13.2 | |||||||||
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| Sudha Cugati | 2006 | Cohort | 1952 | Oceania (BMES) | Age, gender, smoking | Early AMD | 10 years | OR = 1.25 | 0.69–2.25 | — | ≥49 |
| Age, gender, smoking, and presence of early ARM lesions | Late AMD | OR = 3.31 | 1.11–9.87 | ||||||||
| Dry AMD | OR = 2.34 | 0.51–10.8 | |||||||||
| Wet AMD | OR = 3.42 | 1.07–10.91 | |||||||||
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| Jau-Der Ho | 2018 | Cohort | 3465/10395 | Asia | Patient's geographical location, urbanization level, monthly income, diabetes, hypertension, and cardiovascular and hyperlipidaemia | Wet AMD | 5 years | HR = 2.68 | 1.55–4.66 | <0.01 | 70.2 ± 9.6 |
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| Helena Buch | 2005 | Cohort | 359 | Europe | Age, sex | AMD | 14 years | OR = 1.3 | 0.7–2.4 | — | 82.4 ± 4.63 (75–95) |
| Late AMD | OR = 1.6 | 0.8–3.2 | |||||||||
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| Emily Y. Chew | 2009 | Cohort | 6037 | America (AREDS) | Age, gender, race, smoking, AREDS treatment group, and eye-specific AMD severity status | Wet AMD | 5 years | OR = 0.76 | 0.44–1.30 | 0.31 | 55–80 |
| Dry MD | OR = 0.55 | 0.31–0.99 | 0.047 | ||||||||
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| Jie Jin Wang | 2012 | Cohort | 1178 | Oceania (CSAMD) | Baseline early AMD in models for late AMD outcome (paired comparison) | Late AMD | 3 years | OR = 0.74 | 0.23–2.36 | ≥65 | |
| Early AMD | OR = 1.07 | 0.74–1.65 | |||||||||
| Jie Jin Wang | 2016 | Cohort | 2029 | Baseline early AMD in models for late AMD outcome (paired comparison) | Late AMD | 5 years | OR = 0.7 | 0.4–1.2 | |||
| Early AMD | OR = 0.7 | 0.5–1.1 | |||||||||
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| Ronald Klein | 2002 | Cohort | 2764 | North America (BDES) | Age, sex, vitamin use, smoking, drinking, and systolic blood pressure | AMD | 10 years | RR = 1.97 | 1.29–3.02 | <0.01 | 43–86 |
| Early AMD | RR = 1.36 | 0.82–2.23 | 0.23 | ||||||||
| Late AMD | RR = 3.81 | 1.89–7.69 | <0.01 | ||||||||
| Wet AMD | RR = 4.31 | 1.71–10.9 | <0.01 | ||||||||
| Dry AMD | RR = 3.18 | 1.33–7.60 | <0.01 | ||||||||
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| Klein, B. E. | 2012 | Cohort | 3275 | North America (BDES) | Age, sex, education, smoking, drinking, cardiovascular disease, diabetes, and diastolic blood pressure | Early AMD | 20 years | OR = 1.06 | 0.81–1.38 | 0.7 | 43–86 |
| 3585 | Late AMD | OR = 1.96 | 1.28–3.02 | 0.002 | |||||||
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| Ronald Klein | 1998 | Cohort | 3684 | North America (BDES) | Age, smoking, beer consumption, drinking, pulse pressure, hypertension, and vitamin use | Early AMD | 5 years | OR = 1.73 | 0.93–3.21 | 0.08 | 43–86 |
| Late AMD | OR = 2.80 | 1.03–7.63 | 0.04 | ≥65 | |||||||
| Wet AMD | OR = 1.67 | 0.39–7.18 | 0.49 | ≥65 | |||||||
| Dry AMD | OR = 3.49 | 0.80–15.16 | 0.1 | ≥65 | |||||||
| AMD | OR = 2.57 | 1.61–4.11 | <0.001 | 43–86 | |||||||
Evaluation of the quality of cohort studies included in the meta-analysis.
| Author | Publish year | Study design | Selection | Comparability | Outcome | Score | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Representativeness of the exposed cohort | Selection of the nonexposed cohort | Ascertainment of exposure | Demonstration that outcome of interest was not present at start of study | Comparability of cohorts on the basis of the design or analysis | Assessment of outcome | Was follow-up long enough for outcomes to occur? | Adequacy of follow-up of cohorts | ||||
| Pollack | 1996 | Cohort | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 8 |
| Lintje Ho | 2008 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Jie Jin Wang | 2003 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Sudha Cugati | 2006 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Jau-Der Ho | 2018 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Helena Buch | 2005 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Emily Y. Chew | 2009 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Jie Jin Wang | 2012 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Jie Jin Wang | 2016 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Ronald Klein | 2002 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Klein | 2012 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
| Ronald Klein | 1998 | Cohort | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 10 |
Figure 2The funnel plot in Egger's test and Begg's test.
Figure 3The filled funnel plot.
Figure 4The RR for cataract surgery and AMD in the random effects model.
Figure 5Sensitivity analysis.
Figure 6Subgroup analysis on different regions.
Figure 7Subgroup analysis on different AMD classification.
Figure 8Subgroup analysis on follow-up time.