Lancet
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Evidence that aspirin and other non-steroidal anti-inflammatory drugs reduce risk for colorectal cancer has prompted interest in their ability to prevent other cancers. We aimed to find out what effect over-the-counter analgesics have on risk of ovarian cancer. ⋯ In our data, there was a statistically significant inverse association between paracetamol use and ovarian cancer risk. There was a modest but non-significant inverse association with aspirin use and ovarian cancer and no association with ibuprofen use. Experimental studies in rodents demonstrating uterine and ovarian atrophy at high doses of paracetamol and decreased ovarian-cyst formation at lower doses suggest a biological basis for our observations.
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Are meta-analyses the brave new world, or are the critics of such combined analyses right to say that the biases inherent in clinical trials make them uncombinable? Negative trials are often unreported, and hence can be missed by meta-analysts. And how much heterogeneity between trials is acceptable? A recent major criticism is that large randomised trials do not always agree with a prior meta-analysis. Neither individual trials nor meta-analyses, reporting as they do on population effects, tell how to treat the individual patient. Here we take a more rounded approach to meta-analyses, arguing that their strengths outweigh their weaknesses, although the latter must not be brushed aside.