Indirectly estimated absolute lung cancer mortality rates by smoking status and histological type based on a systematic review

Lee, Peter N; Forey, Barbara A

doi:10.1186/1471-2407-13-189

Table 5 Indirect estimates of mortality rates ^a by smoking habit – all lung cancer, females

From: Indirectly estimated absolute lung cancer mortality rates by smoking status and histological type based on a systematic review

			Never smoked		Former smoker		Current smoker		Ever smoker
Region	Country^b	Study^c	Rate	Weight	Rate	Weight	Rate	Weight	Rate	Weight
Canada		BEST	17.6	17.7					39.5	3.8
		HOROWI	23.7	17.1					43.1	28.4
		JAIN	23.0	45.9	82.8	50.1	291.2	88.7	188.1	180.0
		WIGLE	24.8	36.6	50.5	9.7	121.9	55.8	101.9	70.4
USA		ANDERS	39.2	52.8	257.6	111.4	854.9	517.1	513.9	1754.5
		BRESLO	22.6	13.0					31.2	11.1
		BUFFLE	18.5	39.2	93.9	64.9	153.1	211.5	132.0	506.0
		CHANG	44.0	13.7	94.4	15.2	226.9	62.8	161.9	178.6
		COMSTO	37.2	14.1	103.5	9.5	487.8	57.1	333.2	122.8
		CPSI	17.9	232.9	24.3	15.4	56.3	195.3	49.8	223.1
		CPSII	38.2	204.8	184.6	338.5	471.5	975.6	311.4	2503.8
		DORGAN	27.3	93.2	86.0	77.7	332.7	143.5	214.2	382.5
		GOODMA	39.1	22.4	239.5	17.1	377.5	46.4	324.4	102.3
		HAENSZ	19.7	112.2	32.3	3.3	42.7	57.5	42.4	65.8
		HORWIT	18.9	11.7					213.4	135.1
		KAISE2	35.2	12.8	166.7	17.0	480.9	166.4	355.1	456.5
		KELLER	28.4	440.9	258.0	383.3	412.5	829.7	354.4	1571.4
		LOMBA2	25.9	81.1					34.4	220.5
		MILLER	20.5	33.2					232.3	515.7
		NAM	37.9	59.3	391.3	151.1	366.5	120.4	379.6	512.5
		OSANN	26.3	103.3	214.0	94.4	487.3	363.9	392.2	675.2
		PIKE	21.7	35.4					105.0	136.3
		SCHWAR	33.3	182.4	153.4	201.1	520.5	330.3	331.5	885.6
		TOUSEY	27.7	13.5	233.6	63.4	784.1	73.4	434.2	355.1
		WU	39.7	29.2	62.1	22.8	258.2	90.4	173.9	237.2
		WYNDE3	22.1	24.2					69.0	56.6
		WYNDE6	25.2	157.9	138.8	201.4	369.2	397.7	262.4	960.3
SC America	Cuba	JOLY	37.0	39.6	253.8	14.5	277.1	48.9	272.0	60.1
SC America	Brazil	WUNSCH	23.6	35.9	78.0	13.4	136.1	31.5	103.8	64.8
UK		ALDERS	38.0	67.7					175.9	526.8
		DARBY	28.0	24.0					343.2	642.9
		DEAN2	36.7	120.7	126.2	1.5	106.3	24.2	107.7	26.6
		DEAN3	43.6	52.6	43.7	7.1	144.0	215.4	125.5	259.5
		DOLL	25.1	37.9	46.3	4.8	52.3	38.4	51.3	51.2
		GREGOR	13.2	1.0	72.5	4.0	189.6	27.1	145.0	90.1
		MCCONN	26.9	7.7					74.0	2.2
		MIGRAN	18.3	4.5	28.0	1.0	150.7	166.6	132.0	204.7
		WILKIN	53.9	12.6					308.2	167.2
Scandinavia	Sweden	AXELSS	17.5	17.6	52.3	11.0	207.8	51.1	150.7	77.3
Scandinavia	Norway	ENGELA	15.7	11.0	27.7	5.0	548.1	9.1	51.4	10.9
	Norway	KREYBE	24.1	9.9					19.3	6.6
	Denmark	LANGE	36.8	7.3	83.4	8.4	135.0	78.5	124.9	97.9
	Sweden	NOU	17.9	5.2					127.2	20.7
	Finland	PERNU	45.1	23.2					84.9	10.3
	Sweden	SVENSS	15.2	28.7	39.9	16.3	128.3	38.4	92.5	58.1
	Iceland	TULINI	16.7	3.4	62.5	3.6	318.0	5.0	249.6	5.0
W Europe	Spain	AGUDO	25.2	127.5	28.8	2.0	67.8	10.1	57.6	13.0
	Germany	BECHER	20.9	11.2	30.2	4.4	137.8	25.9	93.8	52.8
	France	BENHAM	17.5	73.4					77.8	25.4
	Germany	BROCKM	34.7	3.9					69.5	86.5
	Germany	DAVEYS	28.8	144.4					20.8	0.4
	Germany	JAHN	32.9	55.8					101.6	78.6
	Greece	KATSOU	34.7	41.4	96.8	2.8	120.9	15.1	116.5	19.0
	Germany	KREUZE	32.6	100.2	45.3	22.9	191.4	54.9	123.4	116.5
	Germany	RANDIG	21.1	27.6					46.9	18.3
	Italy	TIZZAN	18.1	38.2	66.1	4.9	78.1	10.9	73.8	18.8
	Austria	VUTUC	31.4	74.7	161.2	26.5	245.7	40.5	209.5	63.4
E Europe	Hungary	ABRAHA	37.0	34.2					180.6	102.0
	Poland	JEDRYC	27.8	88.9					222.0	31.3
	Hungary	ORMOS	38.4	42.1					7.4	1.0
	Poland	RACHTA	29.3	37.0	112.9	6.1	189.5	32.6	171.7	46.4
	Poland	STASZE	13.0	25.8					56.2	6.9
Japan		ESAKI	29.6	53.7					72.8	17.4
		HIRAYA	42.0	436.0	125.0	4.0	98.2	101.1	99.0	105.8
		HITOSU	19.6	52.8	164.6	5.6	68.6	38.5	76.5	51.2
		SOBUE	49.3	283.7	126.5	23.1	143.1	77.8	138.5	116.9
		WAKAI	47.8	95.3	138.6	2.6	175.9	19.1	169.9	23.7
China	HK	CHAN	106.9	47.9					371.5	32.0
	China	CHEN2	88.2	25.3					147.4	34.7
	China	DU	78.5	82.9					151.6	169.0
	China	FAN	79.6	107.9					312.1	70.7
	China	GAO	91.5	491.8	284.3	21.6	216.4	71.6	232.1	100.1
	China	GENG	66.1	71.6					195.6	84.5
	China	HU	97.0	60.8					168.1	15.5
	China	HU2	83.8	73.0					157.1	86.4
	China	JIANG	85.8	22.2					213.4	5.6
	HK	KOO	114.7	55.0	392.9	7.2	300.0	17.6	317.5	41.1
	HK	LAMTH	129.0	94.8					491.3	61.7
	HK	LAMWK	117.5	58.8					484.0	30.8
	HK	LAMWK2	119.8	46.5					384.1	31.0
	China	LEI	67.3	101.2					234.7	63.1
	China	LIU2	64.1	50.0					273.3	24.3
	China	LIU4	81.7	994.6					359.5	761.3
	China	WANG	115.4	303.6					461.7	4.1
	China	WUWILL	80.4	345.3					178.0	282.6
	China	XU3	60.5	16.1					243.4	12.5
	China	ZHOU	95.5	125.7					211.8	8.1
Other	S Korea	CHOI	32.4	80.7	140.0	2.0	39.6	8.8	51.2	11.9
	Singapore	MACLEN	40.4	6.3	32.2	1.8	95.9	5.9	84.7	6.1
	Singapore	SEOW	90.8	35.2					501.6	10.8
	Thailand	SIMARA	1.7	7.5					4.0	5.6

^a Mortality rates per 100,000 per year for age 70–74 years.
^b Not shown if same as region. HK = Hong Kong.
^c Six character reference codes used in IESLC. See Table two of [3] for associated reference(s).

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