Evidence map›Paper›PMID 42645639›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Quality assurance and improvement in dental oncology.

Joo Wan James Kim, Shahad Joudah, Terry Michaelson, Walter G Maxymiw, Christopher M K L Yao, Ezra Hahn, Andrew Hope, Jonas Mattsson, Christine Chen, Ali Hosni and 2 more

Abstract read
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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Joo Wan James KimPrincess Margaret Cancer Centre, University Health Network, 610 University Ave., Room 2-933-Dental Oncology and Maxillofacial Prosthetics Clinic, Toronto, ON, M5G 2C1, Canada. joowanjames.kim@uhn.ca.
Shahad JoudahPrincess Margaret Cancer Centre, University Health Network, 610 University Ave., Room 2-933-Dental Oncology and Maxillofacial Prosthetics Clinic, Toronto, ON, M5G 2C1, Canada.
Terry MichaelsonPrincess Margaret Cancer Centre, University Health Network, 610 University Ave., Room 2-933-Dental Oncology and Maxillofacial Prosthetics Clinic, Toronto, ON, M5G 2C1, Canada.
Walter G MaxymiwPrincess Margaret Cancer Centre, University Health Network, 610 University Ave., Room 2-933-Dental Oncology and Maxillofacial Prosthetics Clinic, Toronto, ON, M5G 2C1, Canada.
Christopher M K L YaoDepartment of Otolaryngology-Head & Neck Surgery, University Health Network/University of Toronto, Toronto, ON, Canada.
Ezra HahnDepartment of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, ON, Canada.
Andrew HopeRadiation Oncology, Princess Margaret Cancer Centre, 610 University Ave. 2nd Floor-Head and Neck Oncology Department, Toronto, ON, M5G 2C1, Canada.
Jonas MattssonDepartment of Medicine, University of Toronto, Toronto, Canada.
Christine ChenDivision of Medical Oncology and Hematology, Department of Medicine, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Ali HosniDepartment of Radiation Oncology, Princess Margaret Cancer Centre/University of Toronto, Toronto, ON, Canada.
Michael GlogauerPrincess Margaret Cancer Centre, University Health Network, 610 University Ave., Room 2-933-Dental Oncology and Maxillofacial Prosthetics Clinic, Toronto, ON, M5G 2C1, Canada.
Erin WatsonPrincess Margaret Cancer Centre, University Health Network, 610 University Ave., Room 2-933-Dental Oncology and Maxillofacial Prosthetics Clinic, Toronto, ON, M5G 2C1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some cancer treatments can irreversibly damage a patient's oral health through complications like post-radiation caries, osteonecrosis, and/or infection. These patients should undergo dental examination before cancer treatment, and dental oncology departments should provide timely and preventive care to minimize delays and prevent adverse outcomes in cancer therapy. While a quality method can be used to systematically monitor success, identify problems, and improve outcomes by collecting and analyzing quality data, to our knowledge, there are no established recommendations for monitoring the quality of care in dental oncology. Therefore, a standardized protocol of Quality Assurance (QA) and Quality Improvement (QI) for dental oncology is proposed. The proposed QA and QI method for dental oncology utilizes the Plan-Do-Study-Act (PDSA) cycle to monitor and implement changes. Clinical and demographic variables are recorded into a database at the initial visit. Data parameters are divided into four categories: Clinic Volume Data represents the total number of clinic visits and referrals; Cancer Demographic Data reports the cancer type and treatment; Clinic Flow Data records dates of referral, consultation, and treatment completion; and Dental Treatment Data documents dental treatments provided to patients. The completion and accuracy of the database are reviewed monthly, and data are extracted biannually and analyzed for further action. Clinic Flow Data identifies delays to care, which are addressed by staff adjustment and care referred to the community. Dental Treatment Data identifies trends and impacts of changes in the treatment paradigm. Clinic Volume and Cancer Demographic Data can suggest modifications to referral triage, allow for department- and institutional-level reporting, and identify areas for research.

Indexed as

Dental CareNeoplasmsQuality Assurance, Health CareQuality ImprovementHumansClinic managementDental oncologyQuality assuranceQuality improvement

Identifiers

What OpenQuestion holds

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Registered trials

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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.