Context Ovarian cancer is common and has significant morbidity and mortality, partly because it is often diagnosed at a late stage. This study sought to determine the accuracy of individual symptoms ...and combinations of symptoms for the diagnosis of ovarian cancer. Evidence acquisition MEDLINE was searched, identifying 2,492 abstracts, reviewing 71 articles in full, and ultimately identifying 17 studies published between 2001 and 2014 that met the inclusion criteria. Data were abstracted by two researchers, and quality was assessed using the QUADAS-2 criteria adapted to the study question. Bivariate random effects meta-analysis was used where possible, and heterogeneity and threshold effects were explored using receiver operating characteristic curves. Data were analyzed in 2015. Evidence synthesis Most studies were at high risk of bias, primarily because of case-control design or differential verification bias. The highest positive likelihood ratios (LRs+) were found for presence of abdominal mass (LR+, 30.0); abdominal distension or increased girth (LR+, 16.0); abdominal or pelvic pain (LR+, 10.4); abdominal or pelvic bloating (LR+, 9.3); loss of appetite (LR+, 9.2); and a family history of ovarian cancer (LR+, 7.5). No symptoms were helpful at ruling out ovarian cancer when absent. The Ovarian Cancer Symptom Index was validated in five studies and (after excluding one outlier with different inclusion criteria) was 63% sensitive and 95% specific (LR+, 12.6; LR–, 0.39). Two other symptom scores had not been validated prospectively. Conclusions Several individual signs and symptoms significantly increase the likelihood of ovarian cancer when present. More work is needed to validate decision rules and develop new decision support tools integrating risk factors, symptoms, and possibly biomarkers to identify women at increased ovarian cancer risk.
Evidence of whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), can be transmitted as an aerosol (ie, airborne) has ...substantial public health implications.
To investigate potential transmission routes of SARS-CoV-2 infection with epidemiologic evidence from a COVID-19 outbreak.
This cohort study examined a community COVID-19 outbreak in Zhejiang province. On January 19, 2020, 128 individuals took 2 buses (60 46.9% from bus 1 and 68 53.1% from bus 2) on a 100-minute round trip to attend a 150-minute worship event. The source patient was a passenger on bus 2. We compared risks of SARS-CoV-2 infection among at-risk individuals taking bus 1 (n = 60) and bus 2 (n = 67 source patient excluded) and among all other individuals (n = 172) attending the worship event. We also divided seats on the exposed bus into high-risk and low-risk zones according to the distance from the source patient and compared COVID-19 risks in each zone. In both buses, central air conditioners were in indoor recirculation mode.
SARS-CoV-2 infection was confirmed by reverse transcription polymerase chain reaction or by viral genome sequencing results. Attack rates for SARS-CoV-2 infection were calculated for different groups, and the spatial distribution of individuals who developed infection on bus 2 was obtained.
Of the 128 participants, 15 (11.7%) were men, 113 (88.3%) were women, and the mean age was 58.6 years. On bus 2, 24 of the 68 individuals (35.3% including the index patient) received a diagnosis of COVID-19 after the event. Meanwhile, none of the 60 individuals in bus 1 were infected. Among the other 172 individuals at the worship event, 7 (4.1%) subsequently received a COVID-19 diagnosis. Individuals in bus 2 had a 34.3% (95% CI, 24.1%-46.3%) higher risk of getting COVID-19 compared with those in bus 1 and were 11.4 (95% CI, 5.1-25.4) times more likely to have COVID-19 compared with all other individuals attending the worship event. Within bus 2, individuals in high-risk zones had moderately, but nonsignificantly, higher risk for COVID-19 compared with those in the low-risk zones. The absence of a significantly increased risk in the part of the bus closer to the index case suggested that airborne spread of the virus may at least partially explain the markedly high attack rate observed.
In this cohort study and case investigation of a community outbreak of COVID-19 in Zhejiang province, individuals who rode a bus to a worship event with a patient with COVID-19 had a higher risk of SARS-CoV-2 infection than individuals who rode another bus to the same event. Airborne spread of SARS-CoV-2 seems likely to have contributed to the high attack rate in the exposed bus. Future efforts at prevention and control must consider the potential for airborne spread of the virus.
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