Evidence map›Paper›PMID 31396724›Full record

ArticleInternational journal of implant dentistry2019

Retrospective study to identify associations between clinician training and dental implant outcome and to compare the use of MATLAB with SAS.

Jyoti Sonkar, Pooja Maney, Qingzhao Yu, Archontia Palaiologou

Abstract read
In one paragraph

Article in International journal of implant dentistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jyoti SonkarUniversity of New England, College of Dental Medicine, 716 Stevens Ave, Goddard Hall 316, Portland, ME, 04103, USA. sonkarjyoti19@gmail.com.
Pooja ManeyDepartment of Periodontics, Louisiana State University School of Dentistry, New Orleans, LA, USA.
Qingzhao YuBiostatistics Program, School of Public Health, Louisiana State University Health Science Center, New Orleans, LA, USA.
Archontia PalaiologouGraduate Periodontics, UT Health San Antonio, San Antonio, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to identify any associations between predictor variables, mainly clinician training and dental implant outcome, among the residents in different departments and to compare statistical analysis with the use of MATLAB R2017a™ to SAS version 9.4.

methodsDental records were reviewed from January 1, 2011, to December 31, 2015. Two thousand forty-eight dental implants were placed on 471 patients seen by residents from the departments of Periodontics, Prosthodontics, and Oral and Maxillofacial Surgery (OMFS) at Louisiana State University Health Sciences Center School of Dentistry. The following parameters were investigated by means of multilevel logistic regression analysis: demographics, implant parameters, department, and residents' year of training.

resultsA total of 1449 implants were included in the study. Overall, within a 1-5-year time period, 1343 (92.6%) implants had survived and 106 (7.4%) implants failed. Discipline (p = 0.0004), residents' year of training (p < 0.0001), and implant systems (p = 0.0024) showed significant associations with implant outcome. Periodontics had a survival rate of 94.14% followed by Prosthodontics (91.48%) and OMFS (89.64%). The survival rates of implants by year of training were as follows: third-year Periodontics and OMFS (94.20%), second-year (89.38%), and first-year (88.6%).

conclusionThe level and type of clinician training had an impact on implant outcome in different residency programs. Further studies will be necessary to identify the reasons for the differences in implant failure rates.

Indexed as

Clinician trainingDental implant outcomePredictorsResidency

Identifiers

PMID31396724
PMCPMC6687780

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.