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 4 Indirect estimates of mortality rates ^a by smoking habit - all lung cancer, males

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	6.2	1.0	70.8	17.6	174.2	252.7	156.6	266.2
		HOROWI	77.8	18.6					278.1	300.7
		JAIN	59.1	11.0	331.9	103.2	940.7	129.6	591.2	611.6
		MCDUFF	83.8	5.3					513.5	407.8
		SIEMIA	40.3	11.9					642.0	856.2
		WIGLE	43.6	14.2	309.7	108.2	516.2	358.5	444.8	626.4
USA		BLOT4	38.8	7.7					563.0	808.7
		BOUCOT	5.0	0.5	93.4	9.2	253.2	702.3	202.2	3203.4
		BRESLO	17.7	6.1					114.1	1284.3
		BROSS	55.7	33.0	325.1	109.0	296.3	582.3	286.8	2219.5
		BUFFLE	46.8	4.6	535.2	143.8	474.2	249.1	493.3	2886.8
		CHANG	109.5	5.3	435.1	85.4	918.7	54.1	569.6	985.3
		CHOW	47.3	6.2	193.2	31.1	688.1	911.6	504.0	4110.0
		COMSTO	55.4	3.9	328.5	50.6	967.4	102.3	599.1	882.9
		CPSI	32.2	85.2	111.4	335.8	364.3	4374.2	295.9	4642.6
		CPSII	52.5	83.4	470.6	1748.1	1124.2	1982.6	673.5	11885.8
		DORGAN	55.2	13.5	325.4	191.2	865.7	213.6	542.7	2113.1
		DORN	35.0	80.7	142.8	268.2	285.2	2347.6	246.3	3553.1
		GOODMA	62.4	10.1	368.6	76.7	1087.0	150.6	673.7	901.0
		GRAHAM	26.4	17.6	427.0	94.3	177.8	1078.2	204.7	2385.0
		HAMMON	22.5	15.4					145.0	1863.0
		HENNEK	128.9	26.5	472.8	109.4	1983.2	139.5	804.2	962.1
		KAISE2	143.0	16.5	448.6	36.0	1063.9	122.0	772.5	506.6
		KELLER	62.6	267.2	453.0	1313.5	824.9	1455.2	631.8	5420.3
		KHUDER	79.1	22.8	594.7	203.6	642.4	316.8	621.1	1889.8
		LOMBAR	21.7	12.7	114.7	84.0	218.8	1040.2	192.2	2474.5
		NAM	67.3	30.2	885.6	378.3	477.2	268.6	661.8	2244.7
		OSANN	40.5	45.3	497.7	255.7	1095.0	564.4	815.1	1838.5
		PIKE	86.2	15.1					452.9	1709.4
		SADOWS	28.1	15.4					108.6	1047.1
		SCHWAR	74.7	99.5	350.7	674.0	1116.9	406.9	613.1	2889.0
		STAYNE	134.4	59.2					492.8	862.3
		TOUSEY	27.7	4.0	373.0	177.5	1469.6	83.3	612.3	1602.8
		WYNDE2	33.4	7.6					281.8	2151.2
		WYNDE3	52.7	8.6	198.0	43.4	565.3	288.7	427.0	1141.2
		WYNDE4	12.4	11.1					112.8	1139.8
		WYNDE6	59.7	80.3	411.1	854.2	903.0	799.7	598.7	5040.3
SC America	Uruguay	DESTE2	85.1	24.6					570.0	137.9
SC America	Uruguay	DESTEF	68.3	22.1	412.5	48.7	660.7	108.4	580.5	139.7
	Cuba	JOLY	35.7	11.4	314.2	72.4	475.2	275.5	434.8	347.2
	Argentina	MATOS	50.2	10.7	252.7	75.7	426.0	100.6	333.5	437.2
	Argentina	PEZZO2	20.8	5.8	191.7	123.8	477.6	169.1	312.4	678.0
	Argentina	PEZZOT	18.2	4.0	185.4	68.4	593.6	113.7	351.5	489.7
	Brazil	WUNSCH	47.2	12.9	165.4	92.9	267.1	187.5	219.6	657.6
UK		ALDERS	74.8	13.9					784.3	2386.1
		BENSHL	134.1	6.2	395.6	51.5	1096.9	547.8	791.3	2968.5
		BRETT	149.1	6.2	139.3	9.5	585.1	926.6	487.6	1638.2
		DARBY	13.1	3.0					648.1	3292.2
		DEAN2	131.4	27.0	496.6	51.5	498.6	1009.9	498.4	1703.2
		DEAN3	138.4	24.9	602.7	84.7	866.5	1286.8	812.9	2832.9
		DOLL	20.4	6.3	100.3	46.1	194.1	1011.7	185.1	1154.3
		DOLL2	73.3	19.1	305.8	266.4	805.8	1117.6	561.6	2915.3
		GILLIS	117.0	12.3	522.1	128.0	829.5	870.5	733.5	3445.4
		GOLLED	67.8	15.1					427.8	1623.4
		GREGOR	655.4	6.6	469.0	22.4	848.3	54.6	674.1	319.6
		HOLE	141.9	7.2	333.3	27.0	951.4	808.6	768.5	2647.8
		MCCONN	148.1	3.7					179.7	552.6
		MIGRAN	111.1	4.1	367.3	26.6	852.1	1004.6	738.5	3227.9
		PETO	98.3	2.0	75.0	2.0	705.3	1288.0	604.7	2008.3
		STOCKS	51.6	42.0					297.1	1793.5
		WILKIN	25.3	2.0					636.4	1166.6
Scandinavia	Sweden	AXELSS	36.6	15.2	167.7	82.5	546.5	99.1	310.9	279.6
Scandinavia	Sweden	DAMBER	45.6	35.7					333.0	251.1
	Norway	ENGELA	39.1	6.9	63.4	10.7	225.9	80.2	180.2	87.5
	Norway	KJUUS	24.2	1.9	151.0	30.9	509.1	72.7	332.4	176.1
	Finland	KNEKT	121.3	6.2	423.4	20.0	917.7	196.4	771.6	299.4
	Finland	KOULUM	8.9	4.4					315.2	72.9
	Norway	KREYBE	3.3	3.6					25.5	9.0
	Denmark	LANGE	117.3	5.0	283.5	22.0	648.7	343.6	569.7	445.7
	Sweden	NOU	48.9	6.1					297.8	184.2
	Finland	PERNU	44.3	40.2					395.6	71.9
	Finland	TENKAN	46.9	5.0	212.1	23.1	886.8	199.1	687.1	224.2
	Iceland	TULINI	42.4	4.3	120.0	6.4	440.8	8.0	341.8	8.0
W Europe	Switzerland	ABELIN	9.1	2.0					284.0	99.8
	Spain	ARMADA	22.4	3.8	347.6	104.2	548.0	128.5	441.5	757.4
	Italy	BARBON	50.5	20.7	359.9	120.3	669.9	469.3	557.8	1394.7
	Germany	BECHER	45.5	2.9	296.8	44.6	678.5	123.6	492.4	840.7
	France	BENHAM	32.7	34.9	312.7	235.6	492.7	782.3	406.9	2071.8
	Germany	BLOHMK	188.4	108.5	563.3	221.1	602.4	282.5	584.2	1026.2
	Germany	BROCKM	375.0	1.0					402.8	1208.1
	Germany	DAVEYS	26.7	2.8					127.9	369.3
	Netherlands	DORANT	101.4	6.8	436.4	161.4	1097.6	400.8	750.3	1217.4
	Belgium	DROSTE	51.9	6.6	360.4	74.6	978.7	308.1	733.1	804.9
	Germany	EBELIN	105.1	12.5					728.9	196.1
	Switzerland	GSELL	10.5	1.9					185.4	77.4
	Germany	JAHN	52.4	16.5	446.3	398.5	516.0	228.2	470.9	1877.1
	Germany	KREUZE	23.9	22.2	218.2	389.7	1002.0	565.0	520.7	2549.4
	Italy	PASTOR	72.0	9.6					474.7	656.7
	Germany	RANDIG	26.8	4.1					134.5	699.6
	Italy	RONCO	87.3	5.9					445.3	733.7
	France	STUCKE	3.3	0.5	451.4	183.5	347.7	46.4	416.8	725.4
	Italy	TIZZAN	54.6	110.5	109.5	153.1	103.4	305.4	105.3	439.2
	Austria	VUTUC	84.7	18.0					591.0	454.1
E Europe	Hungary	ABRAHA	69.5	10.2					607.9	755.4
	Poland	JEDRYC	92.3	43.0					536.1	1022.1
	Czechoslovakia	KUBIK	28.9	2.0	326.3	8.5	937.3	478.6	813.3	776.8
	Hungary	ORMOS	21.9	7.1					204.4	113.0
	Poland	PAWLEG	44.0	4.0					699.6	597.2
	Poland	STASZE	10.9	4.8					116.0	171.5
Japan		ESAKI	75.8	11.4					143.7	375.7
		GAO2	69.7	11.4	234.2	71.1	472.3	140.8	357.4	791.2
		HIRAYA	46.7	88.6	80.2	16.4	208.6	1645.6	203.5	1675.5
		HITOSU	43.9	7.1	199.8	25.5	111.2	315.2	120.7	624.6
		KIHARA	69.9	20.4					413.8	531.1
		MATSUD	7.5	3.0					160.5	797.2
		SEGI	12.9	16.5					22.0	99.9
		SOBUE	83.2	28.1	247.5	215.4	354.5	769.2	316.1	2720.6
		WAKAI	92.2	9.1	231.2	50.6	382.0	319.2	332.2	1426.3
China	HK	CHAN	18.3	1.9					504.0	88.1
	China	CHEN2	76.7	7.9					350.7	274.8
	China	DU	89.6	22.7					316.3	1155.0
	China	FAN	148.0	37.0					420.8	619.4
	China	GAO	89.5	53.1	344.9	76.1	352.0	514.8	350.5	950.9
	China	GENG	63.5	6.4					380.3	171.7
	China	HU	172.0	36.6					358.9	142.9
	China	HU2	119.8	42.2					362.5	415.7
	China	JIANG	115.7	5.5					315.0	307.7
	HK	LAMWK2	200.4	15.2					567.8	105.5
	China	LEI	93.7	34.7					345.0	743.8
	China	LIU2	76.7	10.2					331.1	557.7
	China	LIU3	236.7	3.6					285.2	447.1
	China	LIU4	129.9	1402.0					373.4	2121.6
	China	WANG	131.8	24.8					457.5	504.6
	China	XU	131.3	84.4					345.1	823.1
	China	XU3	63.5	6.4					380.3	171.7
	China	ZHOU	162.9	55.9					384.9	81.8
Other	S Korea	CHOI	37.3	11.7	70.1	29.3	192.1	178.9	156.4	241.8
	Singapore	MACLEN	78.1	3.5	106.5	3.2	297.3	25.4	279.7	26.2
	Thailand	SIMARA	7.0	17.2					13.9	18.9

^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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ISSN: 1471-2407

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