Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty

Fagbamigbe, Adeniyi Francis; Karlsson, Karolina; Derks, Jan; Petzold, Max

doi:10.1371/journal.pone.0245111

Cited by 8 publications

(11 citation statements)

References 40 publications

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“…10 Interestingly, these criteria have been maintained in many other studies from the same group even after the definition of the 2017 Consensus. 7,10,11,[14][15][16][17] Taking into consideration the related findings reported in all their manuscripts using this same series, this distinguished group of researchers in peri-implantitis used a combination of intraoral radiographs (78.1% of implants) and panoramic radiographs (21.9% of implants) for evaluating bone loss. 10 It is even more interesting that to define the onset and pattern of progression of peri-implantitis in their population, the assessment was solely based on radiographic and not clinical signs of progressive MBL.…”

Section: Discussionmentioning

confidence: 99%

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Early marginal bone loss around dental implants to define success in implant dentistry: A retrospective study

Galindo‐Moreno

Catena

Pérez‐Sayáns

et al. 2022

Clin Implant Dent Rel Res

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Purpose The aim of this study was to establish an objective criterion in terms of marginal bone level (MBL) to know the prognosis of an implant. Materials and Methods A group of 176 patients in whom 590 implants were placed were included in this retrospective study. Patients older than 18 years, presenting either Kennedy class I or II edentulous section, or totally edentulous at least in one of the dental arches were included in this study. Those with any type of disturbance able to alter bone metabolism or with nontreated periodontal disease were excluded. Data on radiographic MBL at loading, 6 and 18 months later, age, gender, smoking habits, history of periodontitis, bone substratum, implant, and prosthetic features were recorded. Nonparametric receiver operating curves (ROC) were constructed for the MBL at 18 months in order to establish a distinction among high bone loser (HBL) and low bone loser (LBL) implants. Differences as a function of main variables were also determined, particularly abutment height and periodontal disease. Results HBL implants lost at least 0.48 mm of MBL 6 months after loading; they reached at least 2 mm of MBL 18 months after loading. MBL rate followed a nonlinear trend, except in implants restored over long prosthetic abutments and in patients with history of severe periodontitis; in whom the rate of MBL over the time was nearly zero. Conclusion Implants that lose more than 0.5 mm of marginal bone 6 months after loading are at great risk of not being radiographically successful anymore. Therefore, 0.5 mm of MBL is proposed as a distinctive and objective criterion of success in Implant Dentistry within a 6‐month follow‐up period. A prosthetic abutment height ≥2 mm resulted the most protective factor in the peri‐implant bone maintenance.

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Section: Discussionmentioning

confidence: 99%

“…Implant sites presenting with BOP/suppuration and bone loss >2 mm were considered as moderate/severe peri‐implantitis 10 . Interestingly, these criteria have been maintained in many other studies from the same group even after the definition of the 2017 Consensus 7,10,11,14‐17 …”

Section: Discussionmentioning

confidence: 99%

Early marginal bone loss around dental implants to define success in implant dentistry: A retrospective study

Galindo‐Moreno

Catena

Pérez‐Sayáns

et al. 2022

Clin Implant Dent Rel Res

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“…For a Cox regression shared frailty model, the data were organized according to Cleves et al and Fagbamigbe et al ( 28 , 29 ), as I = 1, …, n groups (clusters) with j = 1, …, k subjects (calves) within group i . Assume conditional on frailty V i , for the j th subject in the i th group, the hazard is…”

Section: Data Analysis and Statistical Modelingmentioning

confidence: 99%

Incidence and Predictors of Calf Morbidity and Mortality From Birth to 6-Months of Age in Dairy Farms of Northwestern Ethiopia

Alemu

Jemberu

Mekuriaw³

et al. 2022

Front. Vet. Sci.

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The Ethiopian government has initiatives for expanding the commercial and smallholder market-oriented urban and peri-urban dairy production systems to meet the demands for dairy products. However, there have been only limited on-farm studies on the health performance of commercial dairy breeds. The aim of this longitudinal study was to quantify the incidence and identify predictors of calf morbidity and mortality from birth to 6 months of age in urban and peri-urban dairy farms of Northwest Ethiopia. A total of 439 calves aged below 6 months from 174 dairy farms were included in the study. We collected data on 35 potential risk factors to determine their effect on calf morbidity and mortality in the area. Kaplan–Meier survival analysis was used to summarize survival probability. The Cox proportional hazard regression model with shared frailty to account for unmeasured herd-specific heterogeneity was also used to identify and quantify factors associated with time to morbidity and mortality. Among 439 calves enrolled for 6 months of follow-up period, a total of 141 morbidities and 54 mortality events were recorded. This gives an overall morbidity and mortality incidence rates of 64 per 100-calf 6-months at risk (risk rate of 47.3%) and 19 per 100-calf 6-months at risk (risk rate of 17.9%), respectively. Diarrhea was the most frequent calf health problem with a risk rate of 25.2%. It was the cause of death for 33.3% of all the 54 calf deaths. Next to diarrhea, pneumonia ranked second with risk rate of 8.6% and was responsible for death of 12.9% of all the 54 calf deaths. Among 35 potential risk factors, calf age, vigor status at birth, calf breed, colostrum ingestion, and herd size were significant (p < 0.05) predictors of calf morbidity and mortality. The Cox-shared frailty model revealed that the herd frailty component had no significant effect on hazard estimates of the covariates of all-cause morbidity and mortality. This implies that the dairy herds participated in the study were homogeneous in the distribution of unmeasured random effects. In conclusion, the magnitude of calf morbidity and mortality was higher and above economically tolerable level in this study. This could impede the success of Ethiopia's dairy development initiative in general, and the livelihood of smallholder dairy producers in particular. Therefore, educating farmers aimed at mitigating the identified risk factors can reduce calf morbidity and mortality in the study areas.

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“…Bayesian parametric (Weibull) Accelerated Failure Time (AFT) model was used to determine the factors associated with time-to-remission. This approach has been reported to perform better than the frequentist approach and the Cox semi-parametric models in the literature [27,28]. STATA version 15 was employed in the analysis.…”

Section: Discussionmentioning

confidence: 99%

Bayesian survival analysis of time-to-remission of prostate cancer and associated prognostic factors in a health-based institute, South-West Nigeria

Fagbamigbe

Abi

Akinwande

2022

Preprint

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Background: Prostate cancer (CaP) develops when healthy cells in the prostate gland change and grow out of place, forming a tumour. In Nigeria, this disease is on an upward trajectory, despite the availability of screening services. This study seeks to estimate the time-to-remission and to determine the prognostic factors for prostate cancer remission.Method: A retrospective analytical study design was employed, through the extraction of case files of patients diagnosed and treated for CaP from January 2010 to December 2017 at the University College Hospital, Ibadan. The extracted data were further divided into two cohorts 2010 to 2014 and 2015 to 2017 to account for non-treatment months. Kaplan Meier method was used to estimate the time-to-remission. Bayesian parametric (Weibull) Accelerated Failure Time (AFT) model was used to determine the factors associated with time-to-remission.Results: The average age(SD) of the patients was 72(3.65) years, with peak incidence among those aged 70 – 79 years. Most CaP patients (87.3%) were diagnosed at stage IV, with many having metastasis to the spine. Among the patients, (33.6%) received chemotherapy and surgery. Patients from Northcentral part of Nigeria had the highest Median Time to Remission (MTR) of 3.7 months in the (2015 - 2017) cohort. The MTR for the 2010 - 2014 cohort was 2.9 months, 3.3 months for the 2015 - 2017 cohort while the overall MTR for the study was 3.2 months. Ages 60 – 69 years and 79 years and above in the 2010 – 2014 cohort decelerated time-to-remission by 30% (adjusted Time Ratio (aTR) = 1.3; 95% CrI (Credible Interval): 1.1 – 1.5) and 40% (aTR = 1.4; 95% CrI: 1.1 – 1.8) respectively. Time-to-remission was significantly delayed by 40% (aTR = 1.4; 95% CrI: 1.1 – 1.7), and 230% (aTR = 3.3; 95% CrI: 2.1 – 4.9) for patients from the south-south and north-central respectively for the 2015 – 2017 cohort compared to patients from the south-west. Conclusion: We found that patients age, location, marital status, occupation, stage, method of diagnosis, Gleason group, site and treatment received significantly influence the time to CaP remission. Stakeholders should therefore sensitize men well advanced in age to take up regular prostate examination as well as emphasize early presentation.

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Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty

Cited by 8 publications

References 40 publications

Early marginal bone loss around dental implants to define success in implant dentistry: A retrospective study

Early marginal bone loss around dental implants to define success in implant dentistry: A retrospective study

Incidence and Predictors of Calf Morbidity and Mortality From Birth to 6-Months of Age in Dairy Farms of Northwestern Ethiopia

Bayesian survival analysis of time-to-remission of prostate cancer and associated prognostic factors in a health-based institute, South-West Nigeria

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