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Osteonecrosis of the Jaw in Multiple Myeloma Patients: Incidence and Characteristics in Korean Patients.

2009· article· en· W2551927314 on OpenAlexaboutno aff
Hyo Jung Kim, Hyeok Shim, Eun-Kyung Park, Min Kyoung Kim, Seok Jin Kim, Joon Seong Park, Jong-Ho Won, Chang‐Ki Min, Jae Hoon Lee

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteonecrosis of the jawMultiple myelomaIncidence (geometry)BisphosphonateMedical recordInternal medicineSurgeryRetrospective cohort studyComplicationOsteoporosis

Abstract

fetched live from OpenAlex

Abstract Abstract 4956 Introduction Osteonecrosis of the Jaw (ONJ) is a potentially serious complication of bisphosphonate (BP) therapy in multiple myeloma (MM). Despite of current update about bisphosphonate related ONJ (BRONJ), only a few Asian BRONJ cases were reported and incidence of BRONJ in Asian MM patients has not yet been definitively estimated. The purpose of this study was to determine incidence and characteristics of BRONJ in Korean MM patients who were receiving BP therapy. Patients and Methods We invited 9 hospitals of Korean Multiple Myeloma Working Group (KMMWP) to participate in a retrospective multicenter study on BRONJ in MM patients. To defined BRONJ incidence, we reviewed the data from 130 MM patients treated with BP in one hospital. We also reviewed the medical records of MM patients with BRONJ treated in 9 hospitals to know the patterns of disease. We analyzed patient and disease characteristics, type and number of BP infusions, previous history of dental procedures, locations of osteonecrosis, clinical symptoms, treatment and outcome. ONJ was defined as clinical evidence of exposed bone in the jaw, which has been present for more than 8 weeks. Results Nine of 130 MM patients (6.9%) treated with BP developed BRONJ in the hospital. Twenty-two patients with MM developed BRONJ after a median number of 17 BP infusions (range 6 - 50) in all 9 hospitals. None of the patients had been irradiated to the jaw. There were 14 male and 8 female patients. The median age was 62 years (range 46 – 75). Median time from MM diagnosis to BRONJ was 2.8 years (range 0.6 – 15.6). The MM isotype was IgG in 9, IgA in 8, IgM in 1, light chain in 3 and non-secretory myeloma in 1 patient. BP therapy included zoledronate (n = 2) or pamidronate (n = 4) and both drugs as sequential treatment (n = 16). Fifteen patients had recent problems in oral cavity (72.7%) and 14 had prior dental procedures (63.6%). The mandible was involved in 14 patients (63.6%), the maxilla in 7 (31.8%), and both the maxilla and mandible in 1 (4.5%). Patients usually presented with pain and soft tissue swelling. ONJ staging (Khan et al. Canadian consensus practice guidelines of Bisphosphonate associated ONJ. J Rheumatol 2008;35:1391-7) was used to define the severity, there were 5 patients in stage I, 14 in stage II and 1 in stage III. Because of the limitation of retrospective study, the stage of 2 patients could not be confirmed. Management of these established cases were discontinuation of BP and medical treatment including antibiotics and pain killer. Surgical debridement of necrotic bone was performed in 12 patients. From onset of exposed bone in jaw, patients were followed for median 11 months (range 4.2 - 42). Wounds of 10 patients were healed at median 175 days (range 60 – 404) after bone exposure. In 8 patients, lesions had persisted over 154 days (range 66 – 425). Evaluation was impossible for 4 patients due to loss of follow up. Four patients were dead because of disease progression (n = 3) or concomitant infection. BRONJ was healed in 2 of them. Conclusions To the best of our knowledge, this is the largest retrospective study ever reported about BRONJ in Asian MM patients. The incidence of BRONJ in Korean MM patients was 6.9% and this is similar with data in western countries. Clinical manifestations and outcome of BRONJ in Korean patients were not different from previously reported data, but no risk factors could be definitively identified with our retrospective analysis. In the name of KMMWP, prospective trials are ongoing to define incidence and risk factors of BRONJ in Korean MM patients. Disclosures No relevant conflicts of interest to declare.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2009
Admission routes1
Has abstractyes

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