Evidence map›Paper›PMID 39618433›Full record

ArticleJournal of maxillofacial and oral surgery2024

Proactive Customized Protocol for Oral Management in Head and Neck Cancer Patients Planned for Radiotherapy.

Deepika Kenkere, Manjunath Narasappa Gudibande, C Deepa, K S Srinath, K R Harshitha, Mallika P Reddy

Abstract read
In one paragraph

Article in Journal of maxillofacial and oral surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Deepika KenkereDepartment of Dentistry, Fellow Oral Oncosurgery, Department of ENT and Head & Neck Surgery, Sri Devaraj Urs Medical College, Tamaka, Kolar India.ORCID 0000-0001-5288-546X
Manjunath Narasappa GudibandeDepartment of Radiotherapy, Sri Devaraj Urs Medical College, Tamaka, Kolar India.ORCID 0000-0002-1032-3562
C DeepaDepartment of Dentistry, Sri Devaraj Urs Medical College, Tamaka, Kolar India.ORCID 0000-0002-4499-4225
K S SrinathDepartment of Dentistry, Sri Devaraj Urs Medical College, Tamaka, Kolar India.
K R HarshithaDepartment of Dentistry, Sri Devaraj Urs Medical College, Tamaka, Kolar India.ORCID 0000-0001-6553-8707
Mallika P ReddyDepartment of Dentistry, Sri Devaraj Urs Medical College, Tamaka, Kolar India.ORCID 0000-0002-6010-4317

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoradionecrosis (ORN) is a nemesis of radiotherapy which adversely affects the life of an individual. It is more often seen with conventional external beam radiotherapy using telecobalt machine. Newer radiotherapy techniques are being used in developed nations to circumvent its inherent disadvantages. A higher incidence of ORN is seen in dentate jaws because of extractions done for odontogenic infections in the post radiation period. Systematic evaluation of oral tissues and instituting appropriate therapeutic and prophylactic measures before, during and after completion of radiotherapy is mandatory. In our hospital since we use telecobalt radiotherapy it was deemed necessary to design our own protocol to reduce the incidence of this debilitating complication. Our protocol is based on recommended guidelines and which has been customized to our patient strata. We present the findings of a retrospective study on patients undergoing radiotherapy in whom this oral management protocol was used. This protocol has been effective in reducing the frequency of osteoradionecrosis at our tertiary care hospital.

Indexed as

ManagementOralOsteoradionecrosisProtocolRadiotherapy

Identifiers

PMID39618433
PMCPMC11607274

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.