ARISTOTLE UNIVERSITY OF THESSALONIKI FACULTY OF HEALTH SCIENCES SCHOOL OF MEDICINE THE POTENTIAL ROLE OF NUTRITION ON LENS PATHOLOGY: A SYSTEMATIC REVIEW AND META-ANALYSIS A thesis submitted in fulfilment of the requirements for the degree of Master of Science in Medical Research Methodology By Sideri Olympia Thessaloniki, December 2017 Master’s Committee: Advisor: Tsinopoulos Ioannis Mataytsi Asimina Tsaousis Konstantinos Word count: 8,291 words TABLE OF CONTENTS ABSTRACT ....................................................................................... ERROR! BOOKMARK NOT DEFINED. INTRODUCTION .............................................................................. ERROR! BOOKMARK NOT DEFINED. METHODS .....................................................................................6ERROR! BOOKMARK NOT DEFINED. RESULTS ......................................................................................... ERROR! BOOKMARK NOT DEFINED. 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BOOKMARK NOT DEFINED. DATA AND ANALYSES ..................................................................... ERROR! BOOKMARK NOT DEFINED. APPENDICES ................................................................................... ERROR! BOOKMARK NOT DEFINED. 2 ABBREVIATIONS AHRQ: Agency for Healthcare Research and Quality BCVA: Best Corrected Visual Acuity BMI: Body Mass Index BP: Blood Pressure CDSR: The Cochrane Database of Systematic Reviews CENTRAL: Central Register of Controlled Trials CI: Confidence Intervals FFQ: Food Frequency Questionnaire HR: Hazard Ratio HRT: Hormone Replacement Therapy ICTRP: The WHO International Clinical Trials Registry Platform IU: International Unit IV: Inverse Variance LILACS: Latin American and Caribbean Literature on Health Sciences LOCS: Lens Opacification Classification System mg: milligram mRCT : the metaRegister of Controlled Trials OR: Odds Ratio PSC: Posterior Subcapsular RR: Risk Ratio RRR: Relative Risk Ratio UV: Ultraviolet VA: Visual Acuity μg: microgram μmol: micromole 3 ABSTRACT Background: Cataract is a major cause of blindness today. Certain antioxidants are suspected to have a protective effect on cataract, as oxidative stress is one of the main mechanisms of lens opacification. Objectives: We examine the role of certain antioxidants in cataract prevention. Search methods: We searched the Cochrane Database of Systematic Reviews (CDSR), Central Register of Controlled Trials (CENTRAL), MEDLINE, ScienceDirect, Latin American and Caribbean Literature on Health Sciences (LILACS), the metaRegister of Controlled Trials (mRCT), ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform (ICTRP), Agency for Healthcare Research and Quality (AHRQ) and Open Grey (System for Information on Grey Literature in Europe) and hand-searched relevant reference lists. Last search was performed on 15 October 2017. Selection criteria: We included observational studies investigating the association between one or more of the following micronutrients and cataract: Vitamin A, Vitamin C, Vitamin E, lutein, zeaxanthin, α- and β-carotene. Data collection and analysis: Two independent authors extracted data and assessed their quality. We pooled results for cataract incidence for all types of cataract and independently for nuclear, cortical and posterior subcapsular cataract. We did not perform sensitivity analysis. Main results: Twenty-five studies were included in the qualitative and 24 in the quantitative part of the study with 295,821 participants over 30 years old. Results from pooled analysis showed a protective effect of antioxidants on cataract, but not all of them were statistically significant. For Vitamin C OR=0.88, 95% CI [0.81, 0.97], for Vitamin E OR=0.84, 95% CI [0.70, 1.01], for Vitamin A OR=0.90, 95% CI [0.80, 1.00], for alpha-carotene OR=0.92, 95% CI [0.85, 1.00], for beta-carotene OR=0.89, 95% CI [0.83, 0.95], for lutein and zeaxanthin OR=0.92, 95% CI [0.85, 0.99]. Conclusions: Our study managed to show a relation between certain antioxidants and cataract disease, but further studies, especially interventional, are needed to confirm the hypothesis. 4 INTRODUCTION Rationale Cataract is the leading cause of blindness worldwide. It is estimated that the prevalence of the disease will rise by 50% until 2020 and 30.1 million people will be affected either in one or both eyes, only in the United States (1). Today, one in two people over 75 years old have poor vision because of cataract and the cost is high not only for patient’s quality of life but also for healthcare systems all over the world. Previous studies have shown that a preventive policy that could delay the onset of the disease by 10 years, it could also reduce the expenses related to cataract by five to six billion USD (2). The disease inflicts eye crystalline lens, causing a progressive opacification. Depending on the affected area, there are three main types of cataract: Subcapsular, nuclear and cortical. Most frequently, lens opacification is due to advanced age. Other cataract risk factors include diabetes, UV radiation, smoking, hyperlipidemia and statins, obesity, alcohol, previous eye injury or surgery, use of corticoids or hormone replacement treatment, myopia and family history. The main symptom related to cataract is the progressive loss of visual acuity (VA). Today, the only way of treatment is surgical, and it consists of the extraction of the affected lens and its substitution with artificial lens. Undeniably, much progress has been done on the surgical procedure itself, which is now easier, safer and painless for the patient. Nevertheless, clinicians still don’t have other means of treatment available, e.g. eye drops, protective sunglasses, which is the case for other eye diseases. In terms of prevention, a couple of studies have been held the last few years examining a possible relation between diet and lens opacification. The reason why such a relation would be interesting lies on the fact that cataract formation is mainly due to the activation of oxidative mechanisms resulting in the aggregation of damaged proteins on crystalline lens. Thus, nutrients with antioxidant effect could possibly stop and even reverse the oxidative effect either by attenuating or by repairing the damaged proteins. Furthermore, if such a relation exists for cataract, then the results could easily be generalized to other degenerative diseases and we may even be in place to claim that nutrition plays generally a very important role against aging of living organisms. Antioxidants that are more frequently studied include Vitamin C, Vitamin E, tocopherols, carotenoids (β-carotene, α- carotene, lutein, zeaxanthin, lycopene), Vitamin A and n-3 fatty acids. Vitamin A plays a crucial role in formation of rhodopsin (3). Rhodopsin, the complex of opsin and retinal (the aldehyde form of Vitamin A), is essential for the transmission of the visual signal. There 5 are two sources of Vitamin A, from animals (liver, cow’s milk, human milk) and from plants (orange, red or green fruits and vegetables). Carotenoids are a group of micronutrients that can be either converted into Vitamin A (pro-vitamin A carotenoids) or not. The first category includes α- and β- carotene, that are usually found in fruits and vegetables, whereas the second category includes lutein, zeaxanthin and lycopene, that are found in human milk and vegetables. Lutein and zeaxanthin, normally found in green leafy vegetables, are lipid-based antioxidants and they act protectively to the lens by absorbing light that normally peroxides lipids in the outer retina. DHA (docosahexaenoic acid, C22:6 n-3) is a basic component of disc membranes, thus enabling visual signal generation. Deficiency in this type of n-3 fatty acid reduces membranes’ fluidity and causes problems throughout the whole visual path. DHA is normally found in fish, meat and eggs. The same, Vitamin E protects polyunsaturated fatty acids (PUFA) of membranes from peroxidation. Vitamin E is found mainly in meat, eggs and leafy vegetables. Finally, Vitamin C, found mainly in fruits and vegetables but also in animal products, offers also protection from oxidation. Nevertheless, there are studies supporting an adverse effect of Vitamin C on crystalline lens. Excessive intake may contribute to protein modification and onset of cataract genesis (4). Objectives The aim of this study is to present new evidence between a diet rich in antioxidants and prevention of cataract, based on the latest observational studies findings. Although results from interventional studies usually lead to less biased outcomes, the available trials in the bibliography on the topic are very few and not sufficient to be combined in a meta-analysis. Apart from that, we will try to clarify if there are specific doses to which these nutrients exert their optional effect. We will also try to define whether the nutrient have the same effect on all types of cataract or not. The micronutrients examined in the present study are Vitamin A, Vitamin C, Vitamin E and carotenoids. It is worth to say that there isn’t any registered protocol of ongoing studies on the topic of interest now. METHODS Eligibility criteria 6 Types of participants We included participants irrespectively of their age and origin, males and females, with the diagnosis of age-related cataract in one or both eyes. We excluded studies with patients suffering from cataract from causes others than age. Types of interventions We included case-control, cross-sectional studies and cohorts investigating the association between one or more of the following micronutrients and cataract: Vitamin A, Vitamin C, Vitamin E, lutein, zeaxanthin, α- and β-carotene. There were no restrictions regarding dosage, mode of administration, frequency, duration and time of administration. Only published trials, written in English, concerning Humans and publication date after 1996 were included. Types of outcomes Primary outcome 1. Incidence of cataract, as defined by the included studies Secondary outcomes 1. Effect on each subtype of cataract (nuclear, cortical, subcortical) 2. Doses at which antioxidants exert their optimal effect Information sources We searched the Cochrane Database of Systematic Reviews (CDSR), Central Register of Controlled Trials (CENTRAL), MEDLINE, ScienceDirect, Latin American and Caribbean Literature on Health Sciences (LILACS), the metaRegister of Controlled Trials (mRCT), ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform (ICTRP). Regarding grey literature, we searched Agency for Healthcare Research and Quality (AHRQ) and Open Grey (System for Information on Grey Literature in Europe). Even though we chose to include only observational studies in our Review, we also searched in databases mainly including clinical trials in order not to miss any studies with both an observational and an interventional part. We also searched the reference list of recent Systematic 7 Reviews for any missing studies. All databases have been searched from 1997 until October 2017 and last search was performed on 15 October 2017. Search Search strategy of each database can be found in an appendix (appendix 1-7). The accuracy of the search was evaluated by the Evidence Based Checklist for the Peer Review of Electronic Search Strategies (5). Study selection The studies for inclusion were selected by two independent reviewers. Mendeley Desktop 1.17.9 was used for search results handling. The titles and abstracts of all relevant electronic search results were examined. Duplicates were removed. For studies that met the inclusion criteria, the full-text reports were obtained and examined. Full-text reports that were compatible with all inclusion standards, together with data from other sources (grey literature), were examined again. Any disagreements between reviewers were resolved by discussion. In case of multiple reports of the same study, we decided to choose the highest quality paper, while for multiple papers of the same study covering different follow-up periods we chose the paper with the longer follow-up period. Data collection process Data were extracted on excel data collection forms for non-interventional studies from two independent review authors. Any disagreements were resolved by discussion. A pilot test of the form was carried out firstly in few studies. The appropriate software (Review Manager 5.3) was used for data management. When results from both per-protocol and intention-to-treat (ITT) analysis were reported, we chose to include only results from the ITT analysis. Data items The following data were extracted: • Study ID • Methods: design; duration of study; 8 • Participants: population; setting; age; sex; country of origin; inclusion/exclusion criteria • Outcomes: outcome name; time points measured; unit of measurement; scales: upper and lower limits; dosage; subgroup analysis; imputation of missing data; number of missing participants with reasons; power; statistical methods; covariates • Others: study funding sources Risk of bias in individual studies Risk of bias assessment of included studies was based on the Newcastle-Ottawa quality assessment scale (6). The domains evaluated were selection, comparability and either exposure (for case-control studies) or outcome (for cohorts). Studies awarded with five or more stars were evaluated as high quality or low risk studies. Two independent reviewers evaluated the included studies. Any disagreements were resolved by discussion. The evaluation was done based on available, already published data. Summary measures The Odds Ratios (OR), Risk Ratios (RR), Relative Risk Ratios (RRR), Hazard Ratios (HR) and adjusted- OR or adjusted-RR were used for study comparison in the narrative part of the study. In the meta- analysis we included only studies with all necessary statistical data available. We entered the above data into RevMan software to extract the Inverse Variance (IV) Odds Ratio with 95% CI of each outcome. Unit of analysis issues The unit of measurement was the individual. Nevertheless, in case that there were patients with both eyes with cataract, we tried to confirm whether results were extracted separately for each eye or not. Synthesis of results We assessed clinical heterogeneity of studies based on each study population characteristics, setting, sample size and covariates. We assessed statistical heterogeneity using the Chi2 and I2 values. For I2>70% and/or important clinical heterogeneity the study results were presented only in 9 the narrative part of the study. It was decided that for important clinical heterogeneity we would use the random-effects model, while for no heterogeneity or no more than three studies in the meta-analysis we would use the fixed-effects model. Results would be also presented by forest plots when more than two studies would be combined. Risk of bias across studies It was decided that we would create a funnel plot to exclude or confirm presence of publication bias depending on the number of included studies for each outcome of interest. Egger’s test wasn’t useful, as we didn’t expect to have more than 10 studies for most of the outcomes. Additional analyses Although we would like to perform sensitivity analysis, firstly analyzing all included studies and then only low risk of bias studies, this was impossible due to small number of included studies in total. Regarding subgroup analysis, we tried to extract results separately for nuclear, cortical and posterior subcapsular cataract and synthesize them if data would be sufficient. RESULTS Study selection We searched nine electronic databases and hand-searched references of previous studies for any missing studies. MEDLINE search returned 979 results at first place. Search strategy was limited to humans, excluding studies on animals and cell series, to articles published only in English and the study period was from 1997 to 2017. We also excluded studies that deal with more complicated cases of cataract. For example, patients with significant comorbidities that could influence cataract onset or progress, especially high glucose levels or very high cholesterol levels compared to general population. We also considered funding issues and were ready to exclude any studies that funding was suspicious to change the study’s results. Of 979 studies retrieved, 179 studies remained after title and abstract evaluation and of these, 59 studies were left after full-text examination. From Cochrane database, 142 papers were retrieved at first place, of which 105 reviews and 33 trials, and after title and abstract evaluation 50 studies were included. Thirteen studies were left after full-text examination. Three studies were excluded due to lack of accessibility. ScienceDirect search retrieved 10
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