Table 2.

Effect of the fact box on the knowledge of the 207 gynecologists who said that seeing the evidence from the PLCO trial changed their estimates.

	Number of physicians providing the correct response (%; 95% CI)
	Before seeing the evidence	After seeing the evidence
Knowledge on Benefit
Reduction of ovarian cancer mortality?
- Correct estimate (0 out of 1,000)	68 (32.9; 26.5 to 39.7)	160 (77.3; 71.0 to 82.8)
- Overestimate	128 (61.8; 54.8 to 68.5)	33 (15.9; 11.2 to 21.7)
- Underestimate	11 (5.3; 2.7 to 9.3)	14 (6.8; 3.7 to 11.1)
Knowledge on Harms
Do you think that ovarian cancer screening can also harm a woman?
- Yes (correct)	90 (43.5; 36.6 to 50.5)	180 (87.0; 81.6 to 91.2)
How many of every 1,000 women attending ovarian cancer screening over a period of 10 years do you think will receive a positive test result? (X out of 1,000 screened)
- Correct estimate (101 women; ±10%: 91 to 111)	24 (11.6; 7.6 to 16.8)	66 (31.8; 25.6 to 38.7)
- Underestimate (<91)	171 (82.6; 76.7 to 87.5)	138 (66.7; 59.8 to 73.0)
- Overestimate (>111)	12 (5.8; 3.0 to 9.9)	3 (1.5; 0.3 to 4.2)
How many of these positive test results do you think are false-positive test results? (%)
- Correct estimate (95%; ±10%: 86% to 99%)	21 (10.1; 6.4 to 15.1)	67 (32.4; 26.0 to 39.2)
- Underestimate (<86%)	186 (89.9; 84.9 to 93.6)	139 (67.1; 60.8 to 74.0)
- Overestimate (100%)	—	1 (0.5; 0.0 to 2.7)
How many of these women who received a false-positive test result will have their ovaries removed as a consequence of further diagnostic work-up? (%)
- Correct estimate (33%; ±10%: 30% to 37%)	4 (1.9; 0.5 to 4.9)	49 (23.7; 18.1 to 30.1)
- Underestimate (<30%)	84 (40.6; 33.8 to 47.6)	47 (22.7; 17.2 to 29.0)
- Overestimate (>37%)	119 (57.5; 50.4 to 64.3)	111 (53.6; 46.6 to 60.6)
Do you think that the potential benefit of ovarian cancer screening (e.g., reduction of disease-specific mortality) outweighs the potential harms (e.g., false positives, overdiagnosis)?
- No (correct)	84 (40.4; 33.3 to 47.6)	145 (70.0; 63.3 to 76.2)