Long-term radiographic evaluation of risk factors related to implant treatment: suggestion for alternative statistical analysis of marginal bone loss

Masakazu Hasegawa, Yasunori Hotta, Takahiro Hoshino, Koji Ito, Shinichi Komatsu, Takashi Saito

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Objective: Secular change in marginal bone loss (MBL), which is the index adopted for implant success criteria, has often been used to evaluate risk factors. However, the need to revise these criteria has recently been indicated due to rapid developments in implant treatment. The purpose of this study was to evaluate risk factors by analyzing MBL with an alternative statistical method. Material and methods: The analyses were performed on the outcomes of 366 patients with 1,902 implants during an average follow-up period of 84.8 months (with a maximum follow-up of 258 months). Instead of evaluating annual MBL, time was calculated as one of the explanatory variables because the correlation between MBL and time was small (correlation coefficient of 0.09010). Analysis of covariance (ANCOVA) was used for exploratory assessment of each factor, and multiple regression analysis was then utilized to identify risk factors. The multiple regression analysis was performed twice, once among all implants and another in which one implant per patient was randomly selected. Results: As a result of multiple regression analysis, smoking habits showed a significant effect on MBL. Age, sex, diabetes mellitus, implant positions, guided bone regeneration, and sinus floor elevation did not affect MBL. IMZ® implants were associated with significantly higher MBL than were ANKYLOS® and SPI® implants. There was no significant difference between Straumann® and other implants. Conclusion: Our results showed that another statistical process, which eliminated the effect of time rather than comparing annual MBL, could be applied to evaluate MBL because the correlation between MBL and time was small.

Original languageEnglish
Pages (from-to)1283-1289
Number of pages7
JournalClinical Oral Implants Research
Volume27
Issue number10
DOIs
Publication statusPublished - 2016 Oct 1

Fingerprint

Bone and Bones
Therapeutics
Regression Analysis
Bone Regeneration
Habits
Diabetes Mellitus
Smoking

Keywords

  • bone
  • clinical research
  • patient centered outcomes
  • radiology
  • regeneration
  • sinus floor elevation
  • smoking
  • statistics

ASJC Scopus subject areas

  • Oral Surgery

Cite this

Long-term radiographic evaluation of risk factors related to implant treatment : suggestion for alternative statistical analysis of marginal bone loss. / Hasegawa, Masakazu; Hotta, Yasunori; Hoshino, Takahiro; Ito, Koji; Komatsu, Shinichi; Saito, Takashi.

In: Clinical Oral Implants Research, Vol. 27, No. 10, 01.10.2016, p. 1283-1289.

Research output: Contribution to journalArticle

Hasegawa, Masakazu ; Hotta, Yasunori ; Hoshino, Takahiro ; Ito, Koji ; Komatsu, Shinichi ; Saito, Takashi. / Long-term radiographic evaluation of risk factors related to implant treatment : suggestion for alternative statistical analysis of marginal bone loss. In: Clinical Oral Implants Research. 2016 ; Vol. 27, No. 10. pp. 1283-1289.
@article{898d3c40b1034ff6a92ad91cab1e8869,
title = "Long-term radiographic evaluation of risk factors related to implant treatment: suggestion for alternative statistical analysis of marginal bone loss",
abstract = "Objective: Secular change in marginal bone loss (MBL), which is the index adopted for implant success criteria, has often been used to evaluate risk factors. However, the need to revise these criteria has recently been indicated due to rapid developments in implant treatment. The purpose of this study was to evaluate risk factors by analyzing MBL with an alternative statistical method. Material and methods: The analyses were performed on the outcomes of 366 patients with 1,902 implants during an average follow-up period of 84.8 months (with a maximum follow-up of 258 months). Instead of evaluating annual MBL, time was calculated as one of the explanatory variables because the correlation between MBL and time was small (correlation coefficient of 0.09010). Analysis of covariance (ANCOVA) was used for exploratory assessment of each factor, and multiple regression analysis was then utilized to identify risk factors. The multiple regression analysis was performed twice, once among all implants and another in which one implant per patient was randomly selected. Results: As a result of multiple regression analysis, smoking habits showed a significant effect on MBL. Age, sex, diabetes mellitus, implant positions, guided bone regeneration, and sinus floor elevation did not affect MBL. IMZ{\circledR} implants were associated with significantly higher MBL than were ANKYLOS{\circledR} and SPI{\circledR} implants. There was no significant difference between Straumann{\circledR} and other implants. Conclusion: Our results showed that another statistical process, which eliminated the effect of time rather than comparing annual MBL, could be applied to evaluate MBL because the correlation between MBL and time was small.",
keywords = "bone, clinical research, patient centered outcomes, radiology, regeneration, sinus floor elevation, smoking, statistics",
author = "Masakazu Hasegawa and Yasunori Hotta and Takahiro Hoshino and Koji Ito and Shinichi Komatsu and Takashi Saito",
year = "2016",
month = "10",
day = "1",
doi = "10.1111/clr.12734",
language = "English",
volume = "27",
pages = "1283--1289",
journal = "Clinical Oral Implants Research",
issn = "0905-7161",
publisher = "Blackwell Munksgaard",
number = "10",

}

TY - JOUR

T1 - Long-term radiographic evaluation of risk factors related to implant treatment

T2 - suggestion for alternative statistical analysis of marginal bone loss

AU - Hasegawa, Masakazu

AU - Hotta, Yasunori

AU - Hoshino, Takahiro

AU - Ito, Koji

AU - Komatsu, Shinichi

AU - Saito, Takashi

PY - 2016/10/1

Y1 - 2016/10/1

N2 - Objective: Secular change in marginal bone loss (MBL), which is the index adopted for implant success criteria, has often been used to evaluate risk factors. However, the need to revise these criteria has recently been indicated due to rapid developments in implant treatment. The purpose of this study was to evaluate risk factors by analyzing MBL with an alternative statistical method. Material and methods: The analyses were performed on the outcomes of 366 patients with 1,902 implants during an average follow-up period of 84.8 months (with a maximum follow-up of 258 months). Instead of evaluating annual MBL, time was calculated as one of the explanatory variables because the correlation between MBL and time was small (correlation coefficient of 0.09010). Analysis of covariance (ANCOVA) was used for exploratory assessment of each factor, and multiple regression analysis was then utilized to identify risk factors. The multiple regression analysis was performed twice, once among all implants and another in which one implant per patient was randomly selected. Results: As a result of multiple regression analysis, smoking habits showed a significant effect on MBL. Age, sex, diabetes mellitus, implant positions, guided bone regeneration, and sinus floor elevation did not affect MBL. IMZ® implants were associated with significantly higher MBL than were ANKYLOS® and SPI® implants. There was no significant difference between Straumann® and other implants. Conclusion: Our results showed that another statistical process, which eliminated the effect of time rather than comparing annual MBL, could be applied to evaluate MBL because the correlation between MBL and time was small.

AB - Objective: Secular change in marginal bone loss (MBL), which is the index adopted for implant success criteria, has often been used to evaluate risk factors. However, the need to revise these criteria has recently been indicated due to rapid developments in implant treatment. The purpose of this study was to evaluate risk factors by analyzing MBL with an alternative statistical method. Material and methods: The analyses were performed on the outcomes of 366 patients with 1,902 implants during an average follow-up period of 84.8 months (with a maximum follow-up of 258 months). Instead of evaluating annual MBL, time was calculated as one of the explanatory variables because the correlation between MBL and time was small (correlation coefficient of 0.09010). Analysis of covariance (ANCOVA) was used for exploratory assessment of each factor, and multiple regression analysis was then utilized to identify risk factors. The multiple regression analysis was performed twice, once among all implants and another in which one implant per patient was randomly selected. Results: As a result of multiple regression analysis, smoking habits showed a significant effect on MBL. Age, sex, diabetes mellitus, implant positions, guided bone regeneration, and sinus floor elevation did not affect MBL. IMZ® implants were associated with significantly higher MBL than were ANKYLOS® and SPI® implants. There was no significant difference between Straumann® and other implants. Conclusion: Our results showed that another statistical process, which eliminated the effect of time rather than comparing annual MBL, could be applied to evaluate MBL because the correlation between MBL and time was small.

KW - bone

KW - clinical research

KW - patient centered outcomes

KW - radiology

KW - regeneration

KW - sinus floor elevation

KW - smoking

KW - statistics

UR - http://www.scopus.com/inward/record.url?scp=85028266100&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028266100&partnerID=8YFLogxK

U2 - 10.1111/clr.12734

DO - 10.1111/clr.12734

M3 - Article

C2 - 26648206

AN - SCOPUS:85028266100

VL - 27

SP - 1283

EP - 1289

JO - Clinical Oral Implants Research

JF - Clinical Oral Implants Research

SN - 0905-7161

IS - 10

ER -