Evidence map›Paper›PMID 34710997›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

Laser Therapy as a Preventive Approach for Oral Mucositis in Cancer Patients Undergoing Chemotherapy: The Potential Role of Superoxide Dismutase.

Beatriz Coutens De Menezes, Marcela Marçal Thebit, Lucas André Silva Bonela, Karine Gadioli De Oliveira, Washington Luiz Gonçalves, Nazare Souza Bissoli, Carmem Luiza Sartorio, Sonia Alves Gouvea

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 27% of its field
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Trial
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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

8 authors at 2 institutions in 1 country.

Beatriz Coutens De MenezesDepartment of Physiological Science, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Espirito Santo, Brazil.
Marcela Marçal ThebitBiotechnology Post-Graduation Program, Health Sciences Center, Federal University of Espirito Santo, Vitoria, ES, Brazil.
Lucas André Silva BonelaBiotechnology Post-Graduation Program, Health Sciences Center, Federal University of Espirito Santo, Vitoria, ES, Brazil.
Karine Gadioli De OliveiraDepartment of Physiological Science, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Espirito Santo, Brazil.
Washington Luiz GonçalvesResidency Program in Health, University Santa Ursula, Rio de Janeiro, Brazil.
Nazare Souza BissoliDepartment of Physiological Science, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Espirito Santo, Brazil.
Carmem Luiza SartorioDepartment of Physiological Science, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Espirito Santo, Brazil.
Sonia Alves GouveaDepartment of Physiological Science, Health Sciences Center, Federal University of Espirito Santo, Vitoria, Espirito Santo, Brazil.ORCID 0000-0001-5180-471X
Universidade Federal do Espírito Santo · BRUniversidade Santa Úrsula · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOral mucositis is a painful condition that occurs in patients who undergo chemotherapy. Due to the worsening of oral mucositis, the patient may progress to a worse clinical condition and interrupt antineoplastic treatment. There is little literature on low-power laser therapy in chemotherapy for other solid tumors. The purpose of this study was to investigate whether low-level laser therapy (LLLT) applied before chemotherapy could prevent oral mucositis in patients with solid tumors.

methodsLaser therapy was applied at a frequency of 630nm, with a dose of 2J / cm2, for the prevention of oral mucositis induced by chemotherapy specifically for non-hematological tumors. Epidemiological data, total neutrophils, general side effects, development of oral mucositis and degree, and the performance of low-power laser therapy to prevent oral mucositis were collected. The involvement of oxidative stress was evaluated by the enzyme superoxide dismutase (SOD) through blood samples, before and after chemotherapy treatments.

resultsLLLT in the proposed protocol is efficient in reducing the development of oral mucositis (only at grade I/II) in patients under chemotherapy and able to reduce the severity of oral mucosal lesions, in patients who developed mucositis after the use of the laser for prevention. All individuals who underwent LLLT protocol did not show a significant reduction of SOD activity after the last chemotherapy cycle.

conclusionsThe prophylactic laser therapy protocol proposed by the study, defined at a frequency of 630nm, a dose of 2J / cm2, demonstrated the ability to decrease the occurrence of oral mucositis in patients undergoing chemotherapy protocols to solid tumors. This effect could be related to preserved SOD activity, as it was observed that oral mucositis is related to leukopenia and reduced SOD activity and LLLT protocol prevented the decrease of SOD activity.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsCarboplatinCisplatinCyclophosphamideDoxorubicinFemaleFluorouracilHumansLow-Level Light TherapyMaleMiddle AgedNeoplasmsAntineoplastic AgentsCarboplatinCisplatinCyclophosphamideDoxorubicinFluorouracilPaclitaxelSuperoxide DismutaseChemotherapyLow-power laser therapyOral Mucositisoxidative stresssolid tumors

Identifiers

PMID34710997
PMCPMC8858229
OpenAlexW3211096499

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.