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Record W2316191633 · doi:10.1002/jbmr.2524

Response to Comments on “Diagnosis and Management of Osteoporosis of the Jaw: A Systematic Review and International Consensus”

2015· review· en· W2316191633 on OpenAlexaffabout
Aliya Khan, Archie Morrison, Salvatore L. Ruggiero, Sotirios Tetradis, Kelly Davison, Edward Peters, Juliet Compston

Bibliographic record

VenueJournal of Bone and Mineral Research · 2015
Typereview
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsUniversity of AlbertaUniversity of VictoriaDalhousie UniversityMcMaster University
Fundersnot available
KeywordsConsensus conferenceMedicineMEDLINEPolitical scienceInternal medicine

Abstract

fetched live from OpenAlex

We thank Dr Otto and colleagues for their letter and respond below to their comments. We followed the PRISMA guidelines pertaining to the conduct of systematic reviews. Table 3 provides the criteria used to assign levels of evidence to each article. Within this grading system, questions were related to bias integral as well as study design. To address the breadth of the questions asked and diverse study types, a composite scale was used. The assigned composite score for each study is provided in the accompanying supplemental materials. The process of article selection is outlined in Fig. 1.1 For each question in the text, there is a corresponding section in Fig. 1 with an abbreviated title (ie, staging versus how is ONJ defined and staged?). Of note, the question "location of lesions" was incorporated into the staging section of the text. Incidence data do indeed refer to the number of new cases over a specific time period. In Tables 3 and 4, all incidence data reviewed are provided as an incidence per 100,000 patient-years. At the beginning of both the osteoporosis and oncology incidence sections, we provide a range per 100,000 patient-years. There is a transcriptional error in reference to the Walter reference. The "0.186" should have been reported without the % symbol (then being equivalent to 18.6%). The data are accurately reported in the tables. An erratum will be submitted to clarify this error. The incidence of ONJ has been reported as cases per person-years when this information is available in the literature. In studies where this information is not provided, the data are presented as published. For example, one study reported "incidence of ONJ was estimated at 3.2%."2 Other authors have reported incidence in a similar manner.3, 4 When the published data are available as cases per person-years, they have been reported in this manner.5, 6 Of note, the Canadian survey of oral surgeons estimated the incidence of BP-associated ONJ to be 1.04 per 100,000 over a 3-year period.7 Otto and colleagues criticize inclusion of oral ulceration with bone sequestration (OUBS). After the initial descriptions of OUBS,8-10 there have been several further international case reports.11-21 These descriptions appear consistent with an ulcer with a necrotic bone base and a predilection for presentation in the posterior lingual mandible or in association with exostoses. Some of these cases can persist beyond 8 weeks. These reports have confirmed the previously described clinical and histopathologic characteristics but have not advanced our knowledge regarding etiopathogenesis. Thus, in this review, a longer reference list served no purpose. Woo and colleagues22 were the first to note the similarity of OUBS to mild medication-related ONJ cases. It is important to account for the "background noise" the OUBS cases represent and their significance as an initiating event should be considered. There has previously not been motivation to collect epidemiologic OUBS data because the condition is either self-limited or is managed conservatively. To further illustrate this point, traumatic oral ulcers are common but incidence studies are rare. There are published letters suggesting OUBS may actually be common.23-25 A study of biopsies obtained from edentulous ridges in asymptomatic patients not receiving antiresorptives indicated nonvital bone could be identified in 25% of cases.26 The foregoing suggests the susceptibility of the jaws to necrotic bone development, even in the absence of antiresorptive medication and indicate further study is needed. Further, to the comments pertaining to staging, the International Task Force reached consensus regarding the definition of ONJ stages 1, 2, and 3. The term stage 0 used by Ruggiero and colleagues in the 2014 AAOMS guidelines refers to signs or symptoms of bone pain, fistula track formation, abscess formation, altered sensory function, or abnormal radiographic findings in individuals on antiresorptive therapy.27 These signs and symptoms are highly nonspecific and could be caused by a variety of dental or nondental conditions that are irrelevant to ONJ. From the currently available limited data regarding unexposed ONJ, it appears that approximately 50% of such potential lesions do not progress to clinically evident ONJ.28 Thus, the Task Force was not able to unanimously agree on the inclusion of stage 0 ONJ in its staging system and elected to further review this upon the availability of good-quality evidence. With respect to management of ONJ, therapy was advised based on the stage of ONJ and comorbidity. The Task Force performed an extensive literature search regarding treatment options and emerging innovative approaches. These strategies were discussed and presented without bias toward any particular treatment. There is no single article that presents the percentages of surgical versus nonsurgical versus de novo treatments across large populations. It is well recognized that the majority of patients are managed nonsurgically (conservatively) in most cancer centers worldwide. We agree that there are viable surgical options, and this has been presented in our article. The unique dilemma in the oncologic ONJ patient population is determining the best treatment strategy, considering life expectancy, degree of debilitation from ONJ lesions, potential benefits of surgical cure, and the patient's ability to cope with nonoperative therapy. These considerations preclude us from using "mucosal healing" alone as the primary outcome for defining success. The International ONJ Task Force members are Aliya A Khan, Archie Morrison, David A Hanley, Dieter Felsenberg, Laurie K McCauley, Felice O'Ryan, Ian R Reid, Salvatore L Ruggiero, Akira Taguchi, Sotirios Tetradis, Nelson B Watts, Maria Luisa Brandi, Edmund Peters, Teresa Guise, Richard Eastell, Angela M Cheung, Suzanne N Morin, Basel Masri, Cyrus Cooper, Sarah L Morgan, Barbara Obermayer-Pietsch, Bente L Langdahl, Rana Al Dabagh, K Shawn Davison, David L Kendler, George K Sandor, Robert G Josse, Mohit Bhandari, Mohamed El Rabbany, Dominique D Pierroz, Riad Sulimani, Deborah P Saunders, Jacques P Brown, and Juliet Compston.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.036
metaresearch head score (Gemma)0.246
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.050
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.246
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0030.003
Science and technology studies0.0040.002
Scholarly communication0.0050.005
Open science0.0040.007
Research integrity0.0230.022
Insufficient payload (model declined to judge)0.0500.026

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.224
GPT teacher head0.498
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2015
Admission routes2
Has abstractyes

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