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Influence of smoking on osseointegratedimplant failure: a meta-analysis
Daisuke HinodeShin-ichi TanabeMasaaki YokoyamaKenji FujisawaEiji YamauchiYouji Miyamoto
Authors’ affiliations:Daisuke Hinode, Shin-ichi Tanabe, MasaakiYokoyama, Department of Preventive Dentistry,Institute of Health Bioscience, The University ofTokushima Graduate School, Tokushima City,JapanKenji Fujisawa, Department of Oral andMaxillofacial Surgery, Tokushima UniversityHospital, Tokushima City, JapanEiji Yamauchi, Department of Oral Care andClinical Education, Tokushima UniversityHospital, Tokushima City, JapanYouji Miyamoto, Division of Dentistry and OralSurgery, School of Medicine, Akita University,Akita City, Japan
Correspondence to:D. HinodeDepartment of Preventive DentistrySubdivision of StomatologyDivision of Biosystem and Nutritional ScienceInstitute of Health BioscienceThe University of Tokushima Graduate SchoolTokushima 770-8504JapanTel.: þ81 88 633 7337Fax: þ81 88 633 7338e-mail: [email protected]
Key words: implant failure, meta-analysis, smoking
Abstract: The aim of this study was to examine the influence of smoking on osseointegrated
implant failure by performing a meta-analysis. A computerized literature search using
PubMed database (in English) and Japana Centra Revuo Medicina (in Japanese) was carried
out to identify all relevant studies. Among 175 studies identified and chosen for detailed
review, 19 were appropriate for inclusion in our meta-analysis. When smokers were
compared with non-smokers, odds ratio (OR) for osseointegrated implant failure was
significantly elevated (OR 2.17, 95% confidence intervals (CI), 1.67–2.83). Seven studies
were appropriate to examine the influence of intra-oral location (maxillary arch vs.
mandibular arch) of implant failure on smoking. The OR for implant failure occurring in the
maxillary arch was significantly elevated (OR 2.06, 95% CI, 1.61–2.65), whereas the OR in the
mandibular arch did not demonstrate a significant increased risk associated with smoking
(OR 1.32, 95% CI, 0.72–2.4). Our meta-analysis revealed a significant relationship between
smoking and the risk of osseointegrated implant failure, more particularly those implants
located in the maxillary arch.
The success of osseointegration between an
endosseous titanium implant and bone can
be expected. Failure to achieve osseointe-
gration and loss of acquired osseointegra-
tion has been related to several factors such
as the length, diameter and surface rough-
ness of the fixture, overloading and infec-
tion (Esposito et al. 1998a, 1998b). A
literature review revealed that information
related to the effect of smoking on endoss-
eous dental implants is poorly described.
Wallace (2000) has demonstrated the dele-
terious effect of tobacco use on implant
treatment, and proposed that smoking
should be considered a relative contraindi-
cation to implant placement when plan-
ning treatment. Johnson & Hill (2004)
reported that implant failure in smokers
is twice as much as those in non-smokers,
with a higher failure rate in maxillary arch
accounting for the majority of the differ-
ence.
On the contrary, Bain et al. (2002) re-
cently reported that no difference in im-
plant failure between smoking and non-
smoking groups was detected. Kumar et
al. (2002) also showed that the success rate
was not significantly different between
smokers and non-smokers when the suc-
cess was defined as no clinical signs or
symptoms of peri-implant pathosis, no
clinically visible mobility and no evidence
of bone loss.
To clarify the relationships between smok-
ing habit and osseointegrated implant failure,
we conducted a meta-analysis of published
epidemiological reports. In addition, we ex-
amined the influence of intra-oral location
(maxillary arch vs. mandibular arch) of os-
seointegrated implant failure in smokers.Copyright r Blackwell Munksgaard 2006
Date:Accepted 5 October 2005
To cite this article:Hinode D, Tanabe S-i, Yokoyama M, Fujisawa K,Yamauchi E, Miyamoto Y. The influence of smoking onosseointegrated implant failure: a meta-analysis.Clin. Oral Impl. Res. 17, 2006; 473–478doi: 10.1111/j.1600-0501.2005.01244.x
473
Material and methods
Literature search
Studies with potential relevance for our
meta-analysis were identified by using
both exploded MeSH heading and text
words in search of MEDLINE (online
PubMed 1993 to August 2004) and Japana
Centra Revuo Medicina (1993–2003) data-
bases. The main search terms were ‘smok-
ing’, ‘smoke’ and ‘tobacco’ in combination
with ‘implant’. Additional articles of po-
tential relevance were identified in current
journals (Dentistry in Japan, 1993–2004,
Japan Printing Co., Ltd, Tokyo, Japan and
Clinical Research in Dentistry, 2004,
Quintessence Publishing, Tokyo, Japan).
Inclusion criteria
Data extraction was performed by two of
the authors and the selected data were
entered into a standard evidence table.
Selected studies were limited to case–con-
trol and cohort studies that included data in
which smoking was examined as a risk
factor for the failure of osseointegrated
implant and variance for that estimate
were provided. Failures of implant can be
divided into biological failure, mechanical
failure, iatrogenic failure, and inadequate
patient adaptation as described by Esposito
et al. (1998a, 1998b). Several kinds of
definition of implant failure have been
reported by researchers. We chose the defi-
nitions of implant failure according to the
criteria of Bain & Moy (1993) with slight
modification. In brief, an implant was
considered to be a failure when it had
been removed for any reason, and showed
progressive bone loss assessed by radio-
graph. Furthermore, the data extracted
were entered into each table of the max-
illary arch or the mandibular arch when
this information was available. Studies
were excluded if they were case reports,
case series or reviews. When studies over-
lapped, only the largest data set, or the data
set with the most relevant data, was in-
cluded.
Statistical analysis
Figure 1 enumerates the key steps of the
statistical analysis of this study. The
strength of the relationship between smok-
ing and osseointegrated implant failure was
assessed by odds ratio (OR). All calcula-
tions for the meta-analysis were performed
using Microsoft Excel 2000 (Microsoft
Corporation, Redmond, WA, USA) or the
SPSS 11 for Windows statistical software
package (SPSS Inc., Chicago, IL, USA). We
used both random-effects and fixed-effects
models to derive the pooled OR from com-
binations of studies. Heterogeneity among
the studies was assessed using the Q-sta-
tistic test and by comparing random-effects
and fixed-effects estimates. A random-ef-
fects model (DerSimonian–Laird method)
of meta-analysis was used if the P-value
was less than 0.05. When there was no
significant difference, we used a fixed-ef-
fects model (general variance-based
method). Statistical significance was
judged by using the OR and 95% confi-
dence interval (CI), and there was statisti-
cal significance if the 95% CI did not
include one.
A sensitivity analysis was conducted to
assess the friability of our findings with
respect to different assumptions as shown
in Fig. 1. It was performed on pooled out-
comes in terms of study design (cohort vs.
case–control study), year of publication
(before 2000 vs. after 2000), case number
(less than 200 vs. 200 or more) and the
ratio of implant failure (less than 10% vs.
10% or more). Estimates of OR and the
95% CI were calculated. To explore the
potential for publication bias, data were
examined by means of the formal tests
proposed by Begg’s method (Begg & Ma-
zumdar 1994) in addition to the Fail-Safe n
statistical measure (Rosenthal 1979). The
Fail-Safe n is the number of unpublished
studies finding no association that would
be required to change a significant meta-
analysis result (based on the published
studies) to a non-significant result. If n is
more than 5 times the number of studies
plus 10, then in general publication bias is
not considered to be a problem.
Results
Of the 175 studies identified by our litera-
ture search in MEDLINE and Japana Cen-
tra Revuo Medicina databases, 19 were
chosen for detailed review. The number
of cases and selected study design charac-
teristics are shown in Table 1. Among
these, 12 case–control and seven cohort
studies were appropriate for inclusion in
our analysis. A significant heterogeneity
was demonstrated by the Q-statistic test
(Po0.05); therefore, a random-effects
model was used. The synthesized OR for
overall studies was 2.17 (95% CI: 1.67–
2.83) with a range of 0.64 to 23.1 (Fig. 2).
No publication bias was confirmed by the
analysis of Begg’s method (P40.1) and the
Fail-Safe n statistical measure (n¼69545 � 19þ 10). Therefore, the result of the
synthesized OR for overall studies was not
adjusted.
By investigating dependence of OR on
study characteristics, we have already im-
plicitly examined sensitivity of results to
these characteristics (study design, year of
publication, case number and rate of im-
plant failure) as shown in Table 2. The
1. Test of heterogeneity (Q statistic test)
Random effects model(DerSimonian-Laird method)
Fixed effects model(general variance-based method)
2. Sensitivity analysis 1) study design (cohort versus case-control study)2) year of publication (before 2000 versus after 2000)3) case number (less than 200 versus 200 or more)4) success rate (less than 90% versus 90% or more)
3. Analysis of the potential for publication bias1) formal tests by Begg’s method2) Fail-Safe N statistical measure
Adjust synthesized odds ratioSynthesized odds ratio
Fig. 1. Key steps of statistical analysis.
Hinode et al . Smoking and implant failure
474 | Clin. Oral Impl. Res. 17, 2006 / 473–478
synthesized OR of the subgroup by cohort
study and by case–control study was 1.98
(95% CI: 1.31–3) and 2.36 (95% CI:
1.63–3.42), respectively. Furthermore, the
synthesized OR of the subgroup (case num-
ber 4200, n¼ 13) and the subgroup (im-
plant failure rate o10%, n¼ 12) was 2.12
(95% CI: 1.61–2.8) and 2.1 (95% CI: 1.56–
2.82), respectively. In subgroup based on
the year of publication, the synthesized OR
before 2000 (n¼ 9) and after 2000 (n¼ 10)
was 2.05 (95% CI: 1.65–2.55) and 2.5
(95% CI: 1.64–3.82), respectively, and
both of them revealed a significant differ-
ence between smokers and non-smokers.
Table 1. Characteristics of studies selected in meta-analysis aimed to examine the influence of smoking on osseointegrated implant failure
Author, the year of publish No. cases/no. controls
OR 95% CI(confidenceinterval)
Rate ofimplantfailure (%)
Studydesign
Cigarettesmoking
Diagnosisof implantfailure
Bain & Moy (1993) 390/1804 2.54 1.74–3.72 5.93 Case–control nr r, bn
De Bruyn & Collaert (1994) 114/338 5.46 1.57–19.02 2.43 Case–control nr rGorman et al. (1994) 646/1420 2.03 1.33–3.11 4.31 Cohort nr rMinsk et al. (1996) 157/570 1.21 0.68–2.16 9.49 Case–control nr rWang et al. (1996) 13/70 0.98 0.19–5.02 15.66 Case–control nr rYamada et al. (1997) 389/347 2.08 1.04–4.18 5.3 Casecontrol nr r, bnn
Keller et al. (1999) 32/216 2.05 0.80–5.2 13.31 Case–control Current vs. never or former rDe Bruyn et al. (1999) 30/32 0.64 0.2–2.08 24.19 Cohort nr rJones et al. (1999) 126/217 4.06 1.38–11.96 4.66 Case–control nr rWallace (2000) 72/115 2.68 1.04–6.91 10.70 Case–control nr rLambert et al. (2000) 959/1928 1.53 1.15–2.05 6.93 Cohort Current vs. never or former rKuroyama et al. (2001) 1522/2994 1.22 0.93–1.59 5.43 Case–control nr rGeurs et al. (2001) 62/279 2.6 0.99–6.83 5.87 Case–control Current vs. never or former rWidmark et al. (2001) 67/131 5.3 2.53–11.12 20.2 Cohort nr rSchwartz-Arad et al. (2002) 380/579 1.86 0.79–4.34 2.29 Cohort nr rKan et al. (2002) 70/158 2.76 1.16–6.62 10.09 Case–control Current vs. never or former rKaroussis et al. (2003) 28/84 2.08 0.33–13.12 4.46 Cohort nr rLeonhardt et al. (2003) 31/13 3.5 0.39–31.81 18.18 Cohort nr rShiratori & Isokawa (2003) 303/592 23.1 5.39–98.9 2.68 Case–control nr r
vs., versus; nr, not reported; current, current smoker; quit, subject who quit smoking; never, subjects who had never smoked; r, removal; b, progressive bone
loss assessed by the radiograph; bn, bone loss in excess of 50% of the fixture length; bnn, progressive bone loss with mobility or pain.
Fig. 2. Random effects of the odds ratios of osseointegrated implant failure on smoking for individual studies
and overall. The diamond symbol shows the odds ratio and the horizontal line represents the 95% confidence
intervals.
Table 2. Distribution of odds ratio betweensmoking and non-smoking
Group Studies(n)
OR (95% CI)
All study 19 2.17 (1.67–2.83)Study design
Cohort 7 1.98 (1.31–3)Case–control 12 2.36 (1.63–3.42)
Year of publicationBefore 2000 9 2.05 (1.65–2.55)2000 or more 10 2.50 (1.64–3.82)
Case numbersLess than 200 6 2.57 (1.61–4.12)200 After 13 2.12 (1.61–2.8)
Implant failure rateLess than 10% 12 2.10 (1.56–2.82)10% or more 7 2.53 (1.72–3.73)
Hinode et al . Smoking and implant failure
475 | Clin. Oral Impl. Res. 17, 2006 / 473–478
Sensitivity analysis for all studies did not
show much difference between study de-
sign, case number and the rate of implant
failure. Our meta-analysis of 19 studies
revealed a statistically significant associa-
tion between smoking and osseointegrated
implant failure by the results of the synthe-
sized OR.
The studies selected to investigate the
influence of intra-oral location (placed in
the maxillary or mandibular arch) are listed
in Table 3. The data of De Bruyn et al.
(1999) were entered into the table of the
maxillary arch, because the number of im-
plant failures in smokers and non-smokers
was only available in the maxillary arch.
Tests of homogeneity of implant failure in
seven papers selected were examined, and
no significant difference was found in the
maxillary arch. Then, the fixed-effects
model was used to calculate OR. The
synthesized OR of the maxillary arch was
2.06 (95% CI: 1.61–2.65). Begg’s method
was carried out to explore the potential
publication bias, and the results of the
maxillary arch showed no significant dif-
ference. The Fail-Safe n calculation for the
maxillary analysis was 100 (45 � 7þ 10)
and publication bias was not considered to
be a large factor; therefore, the synthesized
OR of the maxillary arch was not adjusted.
On the other hand, tests of homogeneity of
implant failure in the mandibular arch
found a significant difference (Po0.05),
and the random-effects model was used.
The synthesized OR was 1.66 (95% CI:
0.89–3.09). No significant difference was
found by Begg’s method whereas the Fail-
Safe n calculation for the maxillary analysis
was 28 (o5 � 6þ 10); therefore publica-
tion bias was considered to be a factor and
the synthesized OR of the mandibular arch
was adjusted (1.32 (95% CI: 0.72–2.4)).
Finally, analysis of implant failure on
smoking by the influence of intra-oral loca-
tion indicated an increased OR in the max-
illary arch but not in the mandibular arch.
Discussion
Sweet (1992) and Bain & Moy (1993)were
the first authors to report that smoking is a
risk factor for osseointegrated implant fail-
ure, and some prospective studies sup-
ported this relationship. However, several
recent studies have indicated no effect of
smoking on the survival of dental im-
plants (Esposito et al. 1998a, 1998b; Berge
& Gronningsaeter 2000; Carlsson et al.
2000; Lambert et al 2000; Quirynen et al.
2001). Although a meta-analysis study was
previously reported (Bain et al. 2002), no
evaluation using the synthesized OR esti-
mates has been published. Therefore, we
constructed and performed this study. Our
meta-analysis of the 19 studies examining
this relationship revealed a significant in-
creased risk for the implant failure among
smokers compared with that among non-
smokers (OR¼ 2.17). Several case–control
studies and cross-sectional studies with
different case numbers and ratio of implant
failure have found similar associations.
Therefore, it confirmed a significant rela-
tionship between smoking and the risk of
osseointegrated implant failure.
In this report, we also attempted to
evaluate the location of the implant failure
on smoking by using a meta-analysis, and
found only seven studies that met the
inclusion criteria. There has been consider-
able discussion regarding implant location
and failure. In our analysis, the maxillary
arch showed a statistically significant in-
crease in the implant failure in smokers
compared with non-smokers; however, the
mandibular arch did not show any differ-
ence. Factors contributing to higher im-
plant failure in maxillary arch than in
mandibular arch are not yet understood.
The high implant failure rate observed in
the maxilla suggests that bone density may
have some bearing upon early implant fail-
ure (Friberg et al. 1991). In addition, smok-
ing has been reported to be the strongest
risk factor for periodontal bone loss (Pau-
lander et al. 2004). On the other hand, it
has been reported that the short-term prog-
nosis is greatly affected by peri-implant
infection related to smoking (Mau 1993;
De Bruyn & Collaert 1994; Gorman et al.
1994). Reibel (2003) suggested that the
increase of implant failures in smokers is
due to exposure of peri-implant tissue to
tobacco smoke, possibly linking the smok-
ing effects on implant survival to the smok-
ing effects on peri-implantitis. Haffajee &
Socransky (2001) showed that a greater
difference in prevalence of orange and red
bacterial complexes (both complexes in-
clude periodontopathogens) exists at sites
with periodontal pocket in the maxilla in
comparison with the mandibular in both
smokers and non-smokers. Smoking might
thus modulate the implant failure by
influencing bacterial infections in the max-
illary and the mandibular arches differ-
ently.
Using meta-analysis, it has been demon-
strated in this study that smoking has
significant negative effects on the survival
rate of dental implants. Dentists have an
important role to play in preventing the
effects of smoking in osseointegrated im-
plant failure and tobacco-related oral dis-
eases. Reibel (2003) suggested in his review
that practitioners should pursue more for-
mal training in smoking cessation counsel-
ing, which should be as much a part of
their job as plaque control and dietary
advice. The evidence presented in this
Table 3. Studies selected in meta-analysis aimed to examine the influence of intra-oral location on osseointegrated implant failure
Author, the yearof publication
In the maxillary arch In the mandible arch
No. cases/no. controls
OR 95% CI No. cases/no. controls
OR 95% CI
Bain & Moy (1993) 196/883 2.78 1.78–4.34 194/921 1.99 0.90–4.39Minsk et al. (1996) 84/285 1.41 0.73–2.72 73/285 0.55 0.12–2.45Yamada et al. (1997) 175/131 2.36 0.84–6.68 214/216 1.77 0.68–4.6De Bruyn et al. (1999) 30/32 0.64 0.2–2.08 – – –Wallace (2000) 42/84 4.31 1.34–13.83 30/31 1.04 0.19–5.59Lambert et al. (2000) 478/793 1.78 1.19–2.66 481/1135 1.23 0.80–1.9Shiratori & Isokawa (2003) 117/302 16.27 1.94–136.66 186/290 27.20 3.58–206.93
Hinode et al . Smoking and implant failure
476 | Clin. Oral Impl. Res. 17, 2006 / 473–478
study may contribute to develop tobacco
intervention habits by dental practitioners.
Several investigators have reported that
the surface roughness of implants (fixture)
also represents a factor of implant failure
(Kumar et al. 2002; Feldman et al. 2004).
Feldman et al. (2004) reported that there
was a 9% difference in 5-year cumulative
survival rates in the maxilla between ma-
chined-surfaced short-length (86.8%) and
dual acid-etched short-length implants
(95.8%). It has recently been reported that
no significant difference of the effect of
smoking on achieving initial osseointegra-
tion exists when surface-modified dental
implants were used (Kumar et al. 2002). In
the systematic review of Bain et al. (2002),
93.5% of success rate in smokers for the
implant group with smooth surface and
98.7% for the implant group with rough
surface was observed, a clinically relevant
difference between these two groups. Be-
tween smokers and non-smokers, how-
ever, only 0.3% difference in the success
rate of rough-surface implant was found.
Among pooled data used in this study, no
study had investigated the effect of the
surface roughness of fixture between smo-
kers and non-smokers. Further research is
needed to clarify the influence against sur-
face-modified dental implants in the max-
illary arch on smoking leading to the
results observed in this study.
Acknowledgements: We thank Dr
Makoto Fukui, General Dentistry,
Tokushima University Hospital, who
gave excellent support and assistance.
We are also grateful to Dr Daniel
Grenier, Universite Laval, Canada, for
critical discussion of the study and for
amending the paper.
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