Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) There can be instances where direct correlation to the claim is not available. Make use of the sentences in the paragraph to provide a corresponding output supporting the claim. 3) The explanation should be at least one and at most twelve sentences long.

Input: Consider Input: Paragraph: Urinary incontinence or loss of bladder control is by far the most common problem, and childbirth, which can weaken pelvic floor muscles, is the most frequent cause. "What stands out is such a large number of women had symptoms of a moderate-to-severe pelvic floor disorder," said Dr. Ingrid Nygaard of the University of Utah, whose study appears in Journal of the American Medical Association. "We know many women leak urine once in a blue moon if they are doing strenuous exercise. That such a large number leaks on a regular basis was surprising to see," she said by telephone. Nygaard's team studied 1,961 nonpregnant women aged 20 and older who were part of a national health survey in 2005-2006. They were examined for symptoms of urinary and fecal incontinence and pelvic organ prolapse, in which an organ such as the bladder drops and pushes against the walls of the vagina. Overall, 23.7 percent of women reported symptoms of at least one pelvic floor disorder. Of these, 15.7 percent had urinary incontinence, 9 percent had fecal incontinence and 2.9 percent had pelvic organ prolapse, in which women reported seeing or feeling a vaginal bulge. Age plays a major role, with just 10 percent of women 20 to 39 reporting at least one disorder, compared with about a quarter of women 40 to 59, 37 percent of women 60 to 79, and nearly half of women 80 and older. Women were considered to have urinary incontinence if they had at least weekly leakage, or monthly leakage of volumes of more than just a few drops. If women with occasional leakage were included, the numbers might be much higher, the researchers said. "The study results underscore the need to identify the causes of pelvic floor disorders and the means to prevent and treat them," Dr. Duane Alexander, director of the National Institute of Child Health and Human Development, said in a statement. Treatments for urinary stress incontinence the kind linked with laughing, coughing, sneezing or exercise range from exercises to surgical options. Urge incontinence or overactive bladder can be treated by lifestyle changes and a number of drugs, including tolterodine or Detrol made by Pfizer Inc; Vesicare or solifenacin made by GlaxoSmithKline and Astellas Pharma Inc; and Enablex or darifenacin by Novartis AG. Claim: Pelvic disorders common among women: study.

Output: Nearly one quarter of all U.S. women have some sort of pelvic floor disorder such as urinary or fecal incontinence, and more cases are likely as the population ages, researchers said on Tuesday.

Input: Consider Input: Paragraph: The story notes the an additional $20 per mammogram with CAD when billed to Medicare. With the newer technology, costs to public health would increase via additional screening and unnecessary biopsies, and treatment would increase for cancers that may never become problematic (i.e. some forms of DCIS or ductal carcinoma in situ). The story provides data that there was little positive difference between radiologists' and CAD detection of cancer via mammogram images. However, the story does not mention results of any other evaluations of the technology (e.g. how it has been used in UK and other countries where results did show benefit in terms of increased detection of cancer). The story mentions that the newer technology may result in over treatment as there are more false positives with the CAD technology vs. radiologists' analysis alone. In a recent study published in the New England Journal of Medicine, there was 20% increase in biopsy rates after mammographers used the CAD software. The article does not present the study well. It was anobservational study of select practices in the US not randomized, not controlled and there was no information about how representative these samples were, especially the centers that used CAD. The story presented some key results but virtually nothing about the study design. The story does not engage in disease mongering or suggest that women should opt for mammograms at centers that have the new CAD technology. The story provides many clinical perspectiveson the CAD technology. The reporter interviews not only the study author and the author of an accompanying NEJM editorial, but also clinicians and radiologists who talk about use of CAD in practice. Interviews with clinicians who provide their rationale for not using the CAD technology provide excellent balance to the story. The story discusses the continued benefit of mammography for early detection of breast cancer. The story highlights that computer-assisted screening does not replace human judgment in interpretation of radiological films. The story mentions that about 30% of mammography centers use computer-aided detection (CAD) technology. The story mentions that CAD is a newer method of reading mammographies, but in a recent observational trial it was no betterand may have produced more false positivesthan images read and interpreted by radiologists alone. The story does not rely solely on a press release for information, and there is independent reporting and sources cited not affiliated with the recently published data on CAD. Claim: Doubts on mammogram software

Output: This story provides readers with a balanced discussion of the potential downside of incorporating newer technologies into routine practice too soon. Specifically, the story reports evidence recently published in the New England Journal of Medicine that computer-aided detection (CAD), a newer method of reading mammographies, was no betterand may have produced more false positivesthan images read and interpreted by radiologists alone. There was 20% increase in biopsies after mammographers used the CAD software, and many of these women had non-malignant lesions. The article did not adequately describe the study. It wasan observational study of select practices in the US not randomized, not controlled and there was no information about how representative these samples were, especially inthe centers that used CAD. The story reported on key results, but without adequately explaining how they were arrived at. The story provides multiple perspectives on the CAD technology in breast cancer detection. The reporter interviews not only the lead author of the NEJM study, but also the author of an accompanying editorial on this newer technology, as well as radiologists who talk about CAD in their practice. Interviews with clinicians who offer a rationale for not using the CAD technology give excellent balance to the story and provide an often overlooked perspective: newer and more high-tech devices are not necessarily better. The story notes the additional $20 per mammogram cost to Medicare with CAD. With the newer technology, costs to public health would increase via additional screening and unnecessary biopsies, and treatment would likely increase for cancers that may never become problematic (i.e. some forms of DCIS or ductal carcinoma in situ). Importantly, the story discuses the continued benefit of mammography for early detection of breast cancer. The story highlights that computer-assisted screening does not replace human judgment in interpretation of radiological films. More screening centers with the CAD technology are available; however, the new technologymay not serve women any better. Traditional mammography with a radiologist interpreting the results may be more accurate and result in fewer unnecessary tests and biopsies.

Input: Consider Input: Paragraph: "As New York state began implementing a regional approach to reopening after coronavirus-related shutdowns, a lawmaker from western New York complained that many of his constituents faced a longer wait to reopen because they were geographically linked to more hard-hit counties. State Sen. George Borrello, who made the comments in a statement on May 11, represents New York's 57th district, which includes three less-populated counties Allegany, Cattaraugus and Chautauqua south of more heavily populated regions near Buffalo (Erie County) and Niagara Falls (Niagara County). ""While infection rates in Allegany, Cattaraugus and Chautauqua counties have consistently been among the lowest in the state throughout the COVID-19 crisis, our linkage with Erie County and its higher infection rates means that we don't meet the metrics for reopening, and our hurting, rural economies must remain shut down for at least another two weeks,"" Borrello said in the statement. The state's reopening plan allowed regions to begin Phase 1 of the reopening process on May 15 as long as they met seven metrics established by the state. The Western New York Region subsequently met all seven metrics on May 18 and entered Phase 1 the following day. But we wondered whether Borrello was correct in his May 11 statement that the infection rates in the three rural counties was substantially lower than those of the more urbanized counties to the north, and consistently among the state's lowest. We used the county-by-county infection tallies posted on Gov. Andrew Cuomo's pressroom page and converted them to a rate per 10,000 residents. We ranked the counties from the highest to the lowest for each week from March 30 to mid-May, when Borrello made his statement. We found that, as Borrello had said, Allegany, Cattaraugus and Chautauqua counties ranked low in infection rates consistently over that period, while Erie and Niagara started higher and continued to rise: Our analysis found that Chautauqua never ranked higher than sixth from the bottom for infection rates among the 58 New York counties for which data was available, and Chautauqua had the lowest rate of any county for much of the period. Allegany and Cattaraugus ranked marginally higher than Chautauqua, but well below Erie and Niagara. Overall, the three small counties usually ranked in the bottom one-third of counties in the state, and by the time Borrello made his statement, they were all in the bottom one-fifth of counties. By contrast, Erie and Niagara were consistently in the top half of counties as measured by infections per capita. New York City (including all five boroughs) ranked at or near the top for the entire period. The state reopening plan mirrored what many other states are doing, with certain types of non-essential businesses opening in phases in each of 10 regions, as long as certain health measurements are met in the region. Borrello said in an interview that he just wants sensible reopening policies that are implemented ""fairly and equitably."" ""Even though the infection rates are higher in Erie County than the rest of the region, we're still talking about keeping those same precautions and ensuring that they're being adhered to,"" he said. Borrello said that ""infection rates in Allegany, Cattaraugus and Chautauqua counties have consistently been among the lowest in the state."" A look at the data from the end of March to mid-May confirms that the infection rate in each of the three counties was usually in the bottom one-third of counties in the state, and by the time Borello made his statement, they were all in the bottom one-fifth of counties. By contrast, Erie and Niagara were consistently in the top half of counties as measured by infections per capita." Claim: "Infection rates in Allegany, Cattaraugus and Chautauqua counties have consistently been among the lowest in the state."
Output: A look at the data from the end of March to mid-May confirms that the per capita infection rate in Allegany, Cattaraugus and Chautauqua counties was typically in the bottom one-third of counties in the state. By contrast, the other two counties in western New York, Erie and Niagara, were consistently in the top half of counties for infections per capita.