Table 3.
Characteristics of meta-analyses investigating association between bladder cancer risk and various factors
| References | Risk factor (s) | Primary studies included on bladder cancer in publication | Comparison | Selected as best estimate | Risk estimates | Number of primary studies included | Adjustment level | Heterogeneity | Publication bias (Egger test) |
|---|---|---|---|---|---|---|---|---|---|
| Dietary factors | |||||||||
| Yao et al. [19] | Fruit, vegetables | 20 CC 11 COH |
Fruit and vegetables; high versus low | Yes | RR 0.81; 95 % CI 0.67–0.99 | 10 | Smoking | I2 = 58.4 % | |
| Fruit; high versus low | Yes | RR 0.77; 95 % CI 0.69–0.87 | 27 | Smoking | I2 = 54.9 % | Egger p = 0.003 | |||
| Vegetables; high versus low | Yes (MMA) | RR 0.81; 95 % CI 0.70–0.93 | 21 | Smoking | I2 = 66.0 % | Egger p = 0.389 | |||
| Citrus Fruits; high versus low | No | RR 0.79; 95 % CI 0.68–0.91 | 11 | I2 = 53.2 % | Egger p = 0.034 | ||||
| Cruciferous vegetables; high versus low | Yes | RR 0.84; 95 % CI 0.77–0.91 | 11 | I2 = 30.7 % | Egger p = 0.443 | ||||
| Steinmaus et al. [21] | Fruit (low intake) | 38 CC and COH | Fruits; low versus high | No | RR 1.47; 95 % CI 1.25–1.74 | 8 | Smoking | X2 p = 0.99$ | |
| Vegetables (low intake) | Vegetables; low versus high | Yes (MMA) | RR 1.15; 95 % CI 0.98–1.35 | 8 | Smoking | X2 p = 0.82$ | |||
| Meat | High versus low | No | RR 0.96; 95 % CI 0.73–1.27 | 4 | Smoking | X2 p = 0.97$ | |||
| Vitamin A | Retinol; low versus high intake | No | RR 1.01; 95 % CI 0.90–1.14 | 8 | X2 p = 0.99$ | ||||
| Carotinoids | Carotenoids; low versus high intake | No | RR 1.10; 95 % CI 0.99–1.22 | 3 | X2 p = 0.99$ | ||||
| Vieira et al. [122] | Fruit, Vegetables | 15 COH | Fruit and vegetables; high versus low | No | RR 0.89; 95 % CI 0.75–1.05 | 8 | I2 = 33.8 % | ||
| Fruit; high versus low | No | RRs = 0.91; 95 % CI 0.82–1.00 | 11 | Smoking | I2 = 11.0 % | Egger p = 0.48 | |||
| Vegetables; high versus low | No | RRs = 0.92; 95 % CI 0.84–1.01 | 9 | Smoking | I2 = 5.0 % | Egger p = 0.02 | |||
| Citrus fruit; high versus low | No | RRs = 0.88; 95 % CI 0.77–1.01 | 6 | Smoking | I2 = 0.0 % | Egger p = 0.38 | |||
| Cruciferous vegetables; high versus low | No | RRs = 0.85; 95 % CI 0.69–1.06 | 6 | Smoking | I2 = 62.6 % | Egger p = 0.5 | |||
| Liu et al. [123] | Fruit, vegetables | 15 CC 12 COH |
Fruit and vegetables; high versus low | No | RR 0.83; 95 % CI 0.69–1.01 | 9 | I2 = 57.0 % | ||
| Fruit; high versus low | No | RR 0.81; 95 % CI 0.73–0.89 | 27 | I2 = 53.7 % | Egger p = 0.052 | ||||
| Vegetables; high versus low | No | RR 0.84; 95 % CI 0.72–0.96 | 24 | I2 = 76.3 % | Egger p = 0.74 | ||||
| Xu et al. [124] | Fruit, vegetables | 14 COH | Fruit and vegetables; every 0.2 serving increment per day | No | RR 1.00; 95 % CI 0.99–1.00 | 8 | I2 = 38.5 % | ||
| Fruit; every 0.2 serving increment per day | No | RRs = 1.00; 95 % CI 0.99–1.00 | 14 | Smoking | I2 = 45.8 % | Egger p < 0.01 | |||
| Vegetables; every 0.2 serving increment per day | No | RRs = 1.00; 95 % CI 0.99–1.00 | 14 | Smoking | I2 = 19.0 % | Egger p = 0.93 | |||
| Citrus fruit; every 0.2 serving increment per day | No | RRs = 1.00; 95 % CI 1.00–1.00 | 7 | I2 = 0.0 % | |||||
| Cruciferous vegetables; every 0.2 serving increment per day | No | RRs = 0.97; 95 % CI 0.93–1.01 | 8 | I2 = 55.8 % | |||||
| Liang et al. [20] | Citrus fruits | 8 CC 6 COH |
Citrus fruits; high versus low | Yes | RR 0.85; 95 % CI 0.76–0.94 | 14 | I2 = 72.1 % | Egger p = 0.004 | |
| 6 COH | Citrus fruits; high versus low | No | RR 0.96; 95 % CI 0.87–1.07 | 6 | I2 = 19.8 % | ||||
| 8 CC | Citrus fruits; high versus low | No | RR 0.77; 95 % CI 0.64–0.92 | 8 | I2 = 68.7 % | ||||
| Liu et al. [121] | Cruciferous vegetables | 5 CC 5 COH |
Cruciferous vegetables; high versus low | No | RR 0.80; 95 % CI 0.69–0.92 | 10 | I2 = 45.9 % | Egger p = 0.51 | |
| 5 COH | Cruciferous vegetables; high versus low | No | Cohort: RR 0.86; 95 % CI 0.61–1.11 | 5 | I2 = 73 % | ||||
| 5 CC | Cruciferous vegetables; high versus low | No | CC: RR 0.78; 95 % CI 0.67–0.89 | 5 | I2 = 0.0 % | ||||
| Bai et al. [22] | Total fluid intake | 17 CC 4 COH |
High versus low | Yes | RRm = 1.12; 95 % CI 0.94–1.33 | 14 | Most adjusted | I2 = 82.8 % | Egger p = 0.059 |
| Isa (submitted) | Total fluid intake | 15 CC 3 COH |
250 ml/day increment | No | RR 1.02; 95 % CI 1.00–1.04 | 15 | Egger p = 0.614 | ||
| Zhang et al. [126] | Tea | 7 COH | All tea; high versus low | No | RR 0.92; 95 % CI 0.76–1.13 | 7 | I2 = 23.8 % | ||
| All tea; one cup/day increment | No | RR 0.98; 95 % CI 0.93–1.02 | 7 | I2 = 44.1 % | |||||
| Green tea; one cup/day increment | No | RR 1.02; 95 % CI 0.95–1.11 | 3 | I2 = 63.9 % | |||||
| Black tea; one cup/day increment | No | RR 0.73; 95 % CI 0.33–1.60 | 1 | ||||||
| Wu et al. [127] | Tea | 12 CC 3 COH |
All tea; high versus low | No | RRm = 1.01; 95 % CI 0.80–1.29 | 7 | Most adjusted | Egger p = 0.88 | |
| Green tea; high versus low | No | RR 1.03; 95 % CI 0.82–1.31 | 5 | I2 = 0.0 % | Egger p = 0.49 | ||||
| Black tea; high versus low | No | RR 0.84; 95 % CI 0.7–1.01 | 6 | I2 = 0.0 % | Egger p = 1.0 | ||||
| Wang et al. [128] | Tea | 13 CC 4 COH |
All tea; high versus low | No | RRm = 1.12; 95 % CI 0.88–1.43; I2 = 64.6 %; n = 17 | 17 | Most adjusted | Egger p = 0.298 | |
| Green tea; high versus low | No | RR 0.81; 95 % CI 0.68–0.98 | 4 | I2 = 0.0 % | Egger p = 0.73 | ||||
| Black tea; high versus low | No | RR 1.05; 95 % CI 0.83–1.32 | 5 | I2 = 49.4 % | Egger p = 0.41 | ||||
| Qin et al. [130] | Tea | 17 CC 6 COH |
All tea; high versus low | Yes | RR 0.94; 95 % CI 0.85–1.04 | 23 | I2 = 28.3 % | Egger p = 0.52 | |
| Green tea; high versus low | No | RR 0.97; 95 % CI 0.73–1.21; | 5 | I2 = 0.0 % | Egger p = 0.38 | ||||
| Black tea; high versus low | No | RR 0.79; 95 % CI 0.59–0.99 | 7 | I2 = 33.1 % | Egger p = 0.38 | ||||
| Huang et al. [24] | Coffee | 5 COH | High versus none/low | No | RR 1.08; 95 % CI 0.71–1.66 | 5 | I2 = 62.9 % | ||
| Zhou et al. [25] | Coffee | 20 CC 5 COH |
High (>5–6 cups/day) versus none | No | Case–control: RRs = 1.45; 95 % CI 1.29–1.63 This category was not calculated for cohort studies |
20 | I2 = 31.8 % | No publication bias (no test estimate reported) | |
| Sala et al. [28] | Coffee | Pooled analysis of 10 CC | 6–9 cups versus none | No | RRm = 1.0; 95 % CI 0.6–1.4 | Most adjusted, analysis restricted to non-smokers | |||
| ≥10 cups versus none | No | RRm = 1.8; 95 % CI 1.0–3.3 | Most adjusted, analysis restricted to non-smokers | ||||||
| Villanueva et al. [27] | Coffee | Pooled analysis of 6 CC | >5 cups/day versus ≤5 cups/day; overall | Yes (MMA) | RRms = 1.25; 95 % CI 1.08–1.44 | 6 | Most adjusted, incl. smoking | ||
| >5 cups/day versus ≤5 cups/day; men only | No | RRms = 1.23; 95 % CI 1.05–1.44 | 5 | Most adjusted, incl. smoking | |||||
| >5 cups/day versus ≤5 cups/day; women only | No | RRms = 1.31; 95 % CI 0.99–1.74 | 5 | Most adjusted, incl. smoking | |||||
| 1 l/day increment | No | RRms = 1.24; 95 % CI 1.08–1.43 | 6 | Most adjusted, incl. smoking | |||||
| Yu et al. [26] | Coffee | 9 COH | Drinkers versus none/lowest | Yes (MMA) | RR 0.83; 95 % CI 0.73–0.94 | 9 | I2 = 39.3 % | Egger p = 0.793 | |
| Wu et al. [29] | Coffee | 34 CC 6 COH |
High versus low | Yes (MMA) | RRms = 1.28; 95 % CI 1.21–1.46 | 18 | Most adjusted, incl. smoking | I2 = 28.5 | Egger p = 0.051 |
| Boyle et al. [30] | Sweetened carbonated beverages | 5 studies | High versus low | Yes | RR 1.13; 95 % CI 0.89–1.45 | 5 | I2 = 0.0 % | Egger p = 0.05 | |
| Li et al. [135] | Milk Dairy products |
12 CC 6 COH |
Milk; high versus low | Yes | RRm = 0.91; 95 % CI 0.72–1.15 | 7 | Most adjusted | Q p = 0.020 | Egger p = 0.048 |
| Dairy products; high versus low | Yes | RRm = 1.01; 95 % CI 0.86–1.19 | 3 | Most adjusted | Q p = 0.108 | Egger p = 0.73 | |||
| Mao et al. [31] | Milk and Dairy products | 8 HCC 5 PCC 6 COH |
All milk; high versus low | No | RRms = 0.84; 95 % CI 0.72–0.97 | 16 | Most adjusted, incl. smoking | I2 = 70.1 % | Egger p = 0.055 |
| Whole milk; high versus low | No | RR 2.23; 95 % CI 1.45–3.00 | 2 | I2 = 0 | |||||
| Skim milk; high versus low | No | RR 0.47; 95 % CI 0.18–0.79 | 2 | I2 = 0 | |||||
| Fermented milk; high versus low | No | RR 0.69; 95 % CI 0.47–0.91 | 5 | I2 = 62.5 % | |||||
| Li et al. [32] | Fish | 6 HCC 3 PCC 5 COH |
High versus low | Yes | RRs = 0.86; 95 % CI 0.61–1.12; I2 = 85.4 %; n = 14; Begg’s p = 0.101 | 14 | Smoking | ||
| Li et al. [33] | Meat | 9 CC 5 COH |
Red meat; high versus low | Yes | RR 1.15; 95 % CI 0.97–1.36 | 14 | I2 = 73.5 % | Egger p = 0.83 | |
| 6 CC 5 COH |
Processed meat; high versus low | Yes | RR 1.22; 95 % CI 1.04–1.43 | 11 | I2 = 64.9 % | Egger p = 0.35 | |||
| Pelucchi et al. [34] | Alcohol | 14 CC 2 NCC 3 COH |
Heavy intake, ≥ 3 drinks (≥ 37.5 g)/day versus non-drinkers | Yes | RR 0.97; 95 % CI 0.72–1.31 | 7 | Smoking | X2 p < 0.01 | |
| Moderate intake, <3 drinks/day versus non-drinkers | No | RR 0.98; 95 % CI 0.89–1.07 | 15 | Smoking | X2 p = 0.05 | ||||
| Bagnardi et al. [139] | Alcohol | 9 CC 2 COH |
Highest category (100 g/day) versus non-drinkers | No | RR 1.17; 95 % CI: 0.97–1.41 | 11 | Het. p = N.S. | ||
| Highest category (100 g/day) versus non-drinkers | No | RRs = 1.09; 95 % CI: 0.89–1.33 | Smoking | Het. p < 0.05 | |||||
| Zeegers et al. [140] | Alcohol | 6 studies | Current alcohol use versus non-use | No | RR 1.3; 95 % CI 1.1–1.5 | 6 | |||
| Li et al. [35] | Egg | 9 CC 4 COH |
All eggs; high versus low | Yes | RRm = 1.11; 95 % CI 0.73–1.69 | 6 | Most adjusted | I2 = 75.8 % | Egger p = 0.55 |
| Fried eggs; high versus low | No | RR 2.04; 95 % CI 1.41–2.95 | 2 | I2 = 0.0 % | |||||
| Boiled eggs; high versus low | No | RR 1.25; 95 % CI 0.82–1.91 | 2 | I2 = 35.5 % | |||||
| Pelucchi et al. [45] | Dietary acrylamide | 1 CC 1 COH 1 C-COH |
High versus low | Yes | RR 0.93; 95 % CI 0.78–1.11 | 3 | X2 p = 0.91 | ||
| 10 mg/day increase in intake | No | RR 1.00; 95 % CI 0.96–1.03 | 3 | X2 p = 0.97 | |||||
| Tang et al. [36] | Vitamin A (total) | 14 CC 11 COH |
Supplement, diet and blood levels; high versus low | Yes | RRms = 0.82; 95 % CI 0.65–0.95 | 11 | Most adjusted, incl. smoking | I2 = 46.3 % | Egger p = 0.057 |
| Dietary intake; high versus low | No | RRms = 0.90; 95 % CI 0.80–1.01 | Most adjusted, incl. smoking | I2 = 0 % | |||||
| Supplementation versus placebo or no supplementation | Yes | RRms = 0.64; 95 % CI 0.47–0.82 | Most adjusted, incl. smoking | I2 = 0 % | |||||
| Jeon et al. [37] | Beta-carotene supplements | 2 RCT | Supplementation versus placebo or no supplementation | No | RR 1.52; 95 % CI 1.03–2.24 | 2 | I2 = 0.0 % | ||
| Liao et al. [39] | Vitamin D | 1 CC 2 NCC 2 COH |
Serum levels; high versus low | Yes | RRs = 0.75; 95 % CI 0.65–0.87 | 5 | Smoking | I2 = 0.0 % | Egger p = 0.57 |
| Chen et al. [40] | Vitamin D | 1 CC 3 COH |
Circulating levels; high versus low | No | RR 0.75; 95 % CI 0.57–0.99 | 4 | I2 = 51.7 % | Egger p = 0.87 | |
| 3 studies | Diet and supplement; high versus low | No | RR 0.92; 95 % CI 0.66–1.28 | 3 | I2 = 32.3 % | Egger p = 0.41 | |||
| Vitamin E | 4 CC 5 COH |
Diet; high versus low | No | RRm = 0.69; 95 % CI 0.52–0.92 | 5 | I2 = 47.1 % | Egger p = 0.01 | ||
| 3 CC 3 COH |
Diet and supplement; high versus low | No | RRm = 0.76; 95 % CI 0.56–1.02 | 5 | I2 = 49.8 % | Egger p = 0.35 | |||
| 1 CC 6 COH |
Supplementation versus placebo or no supplementation | No | RRm = 0.64; 95 % CI 0.48–0.85 | I2 = 0.6 % | Egger p = 0.39 | ||||
| Vitamin C | 7 CC 7 COH |
Diet; High versus Low | No | RRm = 0.69; 95 % CI 0.58–0.82 | 6 | I2 = 13.7 % | Egger p = 0.28 | ||
| 5 CC 3 COH |
Diet and supplement; high versus low | No | RRm = 0.80; 95 % CI 0.62–1.03 | 5 | I2 = 33.4 % | Egger p = 0.03 | |||
| 6 CC 3 COH |
Supplementation versus placebo or no supplementation | No | RRm = 0.84; 95 % CI 0.55–1.29 | 4 | I2 = 74.4 % | Egger p = 0.002 | |||
| Wang et al. [38] | Vitamin C | 11 CC 9 COH |
Intake; high versus low | Yes | RRs = 0.90; 95 % CI 0.79–1.00 | 20 | Smoking | I2 = 43.7 % | Egger p = 0.064 |
| Vitamin E | 7 CC 8 COH |
Intake; high versus low | Yes | RRs = 0.82; 95 % CI 0.74–0.90 | 15 | Smoking | I2 = 0 % | Egger p = 0.534 | |
| He et al. [41] | Folate | 6 CC 7 COH |
Intake; high versus low | Yes | RR 0.84; 95 % CI 0.72–0.96 | 13 | I2 = 28.9 % | Egger p = 0.06 | |
| Myung et al. [37] | Antioxidant supplement | 4 RCT | Supplementation versus placebo or no supplementation | No | RR 1.52; 95 % CI 1.06–2.17 | 4 | I2 = 0.0 % | ||
| Amaral et al. [42] | Selenium | 3 CC 3 NCC 1 C-COH |
Serum and toenail levels; high versus low | Yes | OR = 0.61; 95 % CI 0.42–0.87 | 7 | I2 = 60.8 % | Egger p = 0.357 | |
| Vinceti et al. [43] (Cochrane SR) | Selenium | 5 prospective studies | Serum, toenail or plasma levels; high versus low | No | OR = 0.67; 95 % CI 0.46–0.97 | 5 | I2 = 30 % | ||
| 2 RCT | Supplementation versus Placebo | Yes | RR 1.14; 95 % CI 0.81–1.61 | 2 | I2 = 0.0 % | ||||
| Sun et al. [46] | Obesity | 15 COH | Obese versus normal weight | Yes | RRs = 1.10; 95 % CI 1.03–1.18 | 12 | Smoking | I2 = 8.8 % | Egger p = 0.712 |
| Pre-obese versus normal weight | Yes | RRs = 1.07; 95 % CI 0.99–1.16 | 13 | Smoking | I2 = 46.1 % | Egger p = 0.712 | |||
| Qin et al. [47] | Obesity | 11 COH | Obese versus normal weight | No | RRs = 1.09; 95 % CI 1.01–1.17 | 9 | Smoking | I2 = 35.9 % | Egger p = 0.244 |
| Behavioural factors | |||||||||
| Hemelt et al. [11] | Smoking | 21 CC 11 COH 2 NCC |
All tobacco; Ever smokers versus never smokers | No | RR 2.25; 95 % CI 1.96–2.59 | 15 | |||
| All tobacco; Ex smokers versus never smokers | No | RR 1.90; 95 % CI 1.71–2.11 | 8 | ||||||
| All tobacco; Current smokers versus never smokers | No | RR 3.35; 95 % CI 2.90–3.88 | 11 | ||||||
| Cigarettes; Ever smokers versus never smokers | No | RR 2.24; 95 % CI 1.81–2.78 | 9 | ||||||
| Cigarettes; Ex smokers versus never smokers | No | RR 1.95; 95 % CI 1.55–2.47 | 4 | ||||||
| Cigarettes; Current smokers versus never smokers | No | RR 3.13; 95 % CI 2.33–4.21 | 6 | ||||||
| Puente et al. [48] | Smoking | Pooled analysis of 14 CC | Current smokers versus never smokers; Male | No | RR 3.89; 95 % CI 3.53–4.29 | ||||
| Current smokers versus never smokers; Female | No | RR 3.55; 95 % CI 3.06–4.10 | |||||||
| Ex-smokers versus never smokers; Male | No | RR 2.21; 95 % CI 2.01–2.43 | |||||||
| Ex-smokers versus never smokers; Female | No | RR 2.21; 95 % CI 1.87–2.61 | |||||||
| Freedman et al. [49] | Smoking | 7 COH | Current smokers versus never smokers | No | RR 2.94; 95 % CI 2.45–3.54 | 7 | I2 = 0.0 % | Egger p = 0.32 | |
| Brennan et al. [50] | Smoking | Pooled analysis of 11 CC (men only) | Ever-smokers versus never smokers | No | RR 3.63; 95 % CI 3.13–4.20 | ||||
| Current smokers versus never and ex-smokers | No | RR 2.47; 95 % CI 2.23–2.74 | |||||||
| Brennan et al. [51] | Smoking | Pooled analysis of 11 CC (women only) | Ever-smokers versus never smokers | No | RR 3.1; 95 % CI 2.5–3.9 | ||||
| Current smokers versus never and ex-smokers | No | RR 2.9; 95 % CI 2.3–3.7 | |||||||
| Van Osch et al. submitted [10] | Active smoking | 18 COH 71 CC |
Active smoking; Ex-smokers versus never smokers | Yes | RR 1.83; 95 % CI 1.52–2.14 | 12 | Age, sex | Egger p = 0.150 | |
| Active smoking; Current smokers versus never smokers | Yes | RR 3.14; 95 % CI 2.53–3.75 | 13 | Age, sex | |||||
| Active smoking; ≤20 versus >20 years at first exposure | No | RR 1.33; 95 % CI 0.92–1.74 | 4 | ||||||
| Cumberbatch et al. [53] | Active smoking | Ex-smokers versus never smokers | No | RR 3.37; 95 % CI 3.01–3.78 | 48 | Most adjusted estimates in MA | I2 = 82.2 % | Egger p = 0.13 Begg p = 0.03 |
|
| Current smokers versus never smokers | No | RR 1.98; 95 % CI 1.76–2.22 | 49 | Most adjusted estimates in MA | I2 = 78.6 % | ||||
| Pipe; Smokers versus never smokers | No | RR 1.49; 95 % CI 1.18–1.88 | 4 | I2 = 39.4 % | |||||
| Cigar; Smokers versus never smokers | No | RR 1.62; 95 % CI 1.18–2.22 | 4 | I2 = 0.0 % | |||||
| Smokeless tobacco | Snuff; users versus non-users | No | RR 0.89; 95 % CI 0.56–1.42 | 2 | I2 = 23.7 % | ||||
| Chewing tobacco; users versus non-users | No | RR 1.04; 95 % CI 0.75–1.45 | 2 | I2 = 0.0 % | |||||
| Pitard et al. [52] | Active smoking | Pooled analysis of 6 CC (men only) | Pipe only; Smokers versus never smokers | Yes | RR 1.9; 95 % CI 1.2–3.1 | ||||
| Cigar only; Smokers versus never smokers | Yes | RR 2.3; 95 % CI 1.6–3.5 | |||||||
| Cigarette only; Smokers versus never smokers | No | RR 3.5; 95 % CI 2.9–4.2 | |||||||
| Van Hemelrijck et al. [54] | Passive smoking | 5 CC 3 COH |
Exposed versus not exposed | Yes | RR 0.99; 95 % CI 0.86–1.14 | 8 | Non-smokers only | I2 = 35.6 % | Begg p = 0.32 |
| Lee et al. [55] | Smokeless tobacco | 12 CC 1 COH |
Smokeless tobacco use versus never use | Yes | RRs = 0.95; 95 % CI 0.71–1.29 | 9 | Smoking | I2 = 59.6 % | |
| Keimling et al. [56] | Physical activity | 4 CC 11 COH |
High versus low | Yes | RRm = 0.86; 95 % CI 0.77–0.95 | 7 | Most adjusted | I2 = 0.0 % | |
| Turati et al. [57] | Personal hair dye | 15 CC 2 COH |
Personal use of any type of hair dyes versus no use | Yes | RRs = 0.94; 95 % CI 0.82–1.08 | 12 | Smoking | I2 = 49.9 % | Egger p = 0.54 |
| Occupational (Comparing the specific occupation versus any other occupation or the general population) | |||||||||
| Guha et al. [158] | Painters | 30 CC 2 COH 9 RL |
Painters | No | RR 1.25; 95 % CI 1.16–1.34 | 41 | I2 = 23.5 % | ||
| Painters | No | RRs = 1.28; 95 % CI 1.15–1.43 | Smoking | I2 = 0.7 % | |||||
| Painters | No | RRms = 1.27; 95 % CI 0.99–1.63 | Most adjusted, incl. smoking | I2 = 0.1 % | |||||
| Bachand et al. [159] | Painters | 33 CC | Painters | No | RR 1.30; 95 % CI 1.17–1.44 | 33 | Smoking; morbidity and mortality combined | ||
| 4 COH | Painters | No | RR 1.23; 95 % CI 0.95–1.59 | 4 | Smoking; morbidity only | ||||
| Harling et al. [161] | Hairdressers | 28 CC 14 RCOH |
Hairdressers | No | RR 1.35; 95 % CI 1.13–1.61 | 23 | Smoking | X2 p = 0.19 | |
| Hairdressers; job held ≥ 10 years | No | RR 1.70; 95 % CI 1.01–2.88 | 6 | X2 p = 0.46 | |||||
| Takkouche et al. [160] | Hairdressers | 26 CC 8 COH |
Hairdressers | No | RR 1.33; 95 % CI 1.07–1.67 | 19 | Smoking | Q p = 0.77 | |
| Hairdressers | No | RR 1.35; 95 % CI 1.21–1.50 | 26 | Incidence only | Q p = 0.78 | ||||
| ‘t Mannetje et al. [162] | Sales workers | 10 CC 2 RL 3 mortality studies |
Sales workers; Men | No | RR 1.04; 95 % CI 0.97–1.12 | Smoking, incidence only | Q p = 0.3 | Egger p = 0.4 | |
| Sales workers; Women | No | RR 1.22; 95 % CI 1.06–1.41 | Smoking, incidence only | Q p = 0.44 | Egger p < 0.01 | ||||
| Manju L et al. [164] | Motor vehicle driving | 3 COH | Overall (motor vehicle drivers and railroad workers) | No | RR 1.08; 95 % CI 1.00–1.17 | 3 | Het. p = 0.85 | ||
| 27 CC | Truck drivers | No | RR 1.18; 95 % CI 1.09–1.28 | 18 | Het. p = 0.25 | ||||
| 27 CC | Bus drivers | No | RR 1.23; 95 % CI 1.06–1.44 | 11 | Het. p = 0.19 | ||||
| Boffetta and Silverman [163] | Motor vehicle driving | 16 CC 7 COH 6 routinely collected data (men only) |
Truck drivers | No | RR 1.17; 95 % CI 1.06–1.29 | 15 | Het. p = 0.3 | Egger p = 0.07 | |
| Bus drivers | No | RR 1.33; 95 % CI 1.22–1.45 | 10 | Het. p = 0.4 | Egger p = 0.001 | ||||
| Acquavella et al. [165] | Farmers | 10 Follow-up studies 8 CC 11 PMR (men only) |
Farmers | No | RR 0.79; 95 % CI 0.72–0.86 | 29 | X2 p < 1*10−5 | ||
| 10 Follow-up studies | Farmers | No | RR 0.62; 95 % CI 0.59–0.65 | 10 | X2 p = 0.08 | ||||
| 8 CC | Farmers | No | RR 0.94; 95 % CI 0.86–1.04 | 8 | X2 p = 0.09 | ||||
| Gaertner et al. [166] | Foundry workers | 22 CC 9 COH 14 surveillance studies |
Foundry workers | No | RR 1.11; 95 % CI 0.96–1.29 | 16 (CC only) | Smoking | X2 p = 0.07 (15df) | |
| Foundry workers | No | RR 1.14; 95 % CI 1.04–1.26; | 11 | Incidence only | X2 p = 0.28 (10df) | ||||
| Mastrangelo et al. [167] | Textile workers | Unknown | Spinners | No | RR 1.19; 95 % CI 0.80–1.57 | 2 | X2 p < 0.001$ | ||
| Weavers | No | RR 2.40; 95 % CI 1.62–3.18 | 2 | X2 p = 0.001$ | |||||
| Dyers | No | RR 1.39; 95 % CI 1.07–1.71 | 3 | X2 p = 0.505$ | |||||
| Tokumaru et al. [168] | Flight attendants | 3 COH (female only) | Flight attendants | No | RR 2.03; 95 % CI 0.75–5.43 | 3 | Incidence only | Q p = N.S. | |
| Buja et al. [169] | Flight attendants | 4 COH (female only) | Flight attendants | No | RR 1.45; 95 % CI 0.33–3.16 | 4 | Incidence only | Tau = 0.39 | |
| Baena et al. [171] | Petroleum industry | 8 CC | Petroleum industry workers | No | RR 1.5; 95 % CI 1.29–1.75 | 8 | |||
| Greenberg et al. [172] | Chemical workers | 19 COH for incidence | Chemical workers | No | RR 2.21; 95 % CI 1.18–4.15 | 19 | Incidence only | ||
| Vlaanderen et al. [173] | Dry cleaning | 4 CC 3 COH |
Dry cleaning workers | No | RR 1.47; 95 % CI 1.16–1.85 | 7 | I2 = 0 % | Egger p > 0.05 | |
| Fu et al. [174] | Inorganic lead compounds | 5 studies | Exposed to inorganic lead compounds versus non-exposed | No | RR 1.41; 95 % CI 1.16–1.71 | 5 | Hom. p > 0.30 | ||
| Collins et al. [176] | Acrylonitrile workers | 10 studies | Acrylonitrile workers | No | RR 0.8; 95 % CI 0.3–2.2 | 3 | Incidence | Het. p = 0.49 | |
| Rota et al. [179] | Polycyclic aromatic hydrocarbons (PAHs) | 13 COH | Aluminium production workers | No | RR 1.28; 95 % CI 0.98–1.68 | 10 | X2 p = 0.002 | Egger p = 0.22 | |
| Asphalt workers | No | RR 1.03; 95 % CI 0.82–1.30 | 2 | X2 p = 0.31 | |||||
| Carbon black production | No | RR 1.10; 95 % CI 0.61–2.00 | 3 | X2 p = 0.29 | Egger p = 0.61 | ||||
| Workers in iron and steel foundry | No | RR 1.38; 95 % CI 1.00–1.91 | 9 | X2 p = 0.001 | Egger p = 0.3 | ||||
95 % CI 95 % confidence interval, CC case–control study, C-COH case-cohort study, COH cohort study, df degrees of freedom, ECO ecological study, HCC hospital-based case–Control study, Het. heterogeneity, Hom. homogeneity, NCC nested case–control study, N.S. not significant, OR odds ratio, PCC population-based case–control study, PCOH prospective cohort study, PMR proportional mortality ratio, RCOH retrospective cohort study, RE risk estimate, RCT randomised controlled trial, RL record linkage study, RR relative risk, SIR standardised incidence ratio
$The p value was calculated by the authors of the current article when only the X 2 statistic and degrees of freedom were presented