Evidence map›Paper›PMID 32592033›Full record

SynthesisSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2020

Prediction of mucositis risk secondary to cancer therapy: a systematic review of current evidence and call to action.

H R Wardill, S T Sonis, N M A Blijlevens, Y Z A Van Sebille, M A Ciorba, E A H Loeffen, K K F Cheng, P Bossi, L Porcello, D A Castillo and 3 more

Open access · greenAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Clinicopathological and biobehavioral factors influence the onset and severity of oral mucositis in patients with head and neck cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  16. Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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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

13 authors at 10 institutions in 5 countries.

H R WardillAdelaide Medical School, University of Adelaide, Helen Mayo Building (Adelaide Medical School) Frome Road, Adelaide, South Australia, 5005, Australia. Hannah.wardill@adelaide.edu.au.ORCID https://orcid.org/0000-0002-6613-3661
S T SonisBrigham and Women's Hospital and the Dana-Farber Cancer Institute, Boston, MA, USA.ORCID https://orcid.org/0000-0001-6480-2625
N M A BlijlevensDepartment of Hematology, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0002-1801-2072
Y Z A Van SebilleDivision of Health Sciences, The University of South Australia, Adelaide, Australia.ORCID https://orcid.org/0000-0002-5803-3230
M A CiorbaInflammatory Bowel Diseases Center, Division of Gastroenterology, Washington University in Saint Louis, Saint Louis, MO, USA.ORCID https://orcid.org/0000-0002-7656-0982
E A H LoeffenDepartment of Pediatric Oncology/Hematology, The University of Groningen, University Medical Centre Groningen (Beatrix Children's Hospital), Groningen, The Netherlands.ORCID https://orcid.org/0000-0003-4514-3358
K K F ChengAlice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-4760-4771
P BossiDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health - Medical Oncology, ASST-Spedali Civili, University of Brescia, Brescia, Italy.ORCID https://orcid.org/0000-0003-0135-0224
L PorcelloEastman Institute for Oral Health, Basil G. Bibby Library, Rochester, NY, USA.ORCID https://orcid.org/0000-0002-6077-6631
D A CastilloEdward G. Miner Library, University of Rochester Medical Center, Rochester, NY, USA.ORCID https://orcid.org/0000-0003-3406-9818
S EladOral Medicine, Eastman Institute for Oral Health, University of Rochester Medical Center, Rochester, NY, USA.ORCID https://orcid.org/0000-0002-0044-9719
J M BowenAdelaide Medical School, University of Adelaide, Helen Mayo Building (Adelaide Medical School) Frome Road, Adelaide, South Australia, 5005, Australia.ORCID https://orcid.org/0000-0003-0876-0031
Mucositis Study Group of the Multinational Association of Supportive Care in Cancer/International Society of Oral Oncology (MASCC/ISOO)
University Medical Center Groningen · NLUniversity of Rochester Medical Center · USBrigham and Women's Hospital · USEastman Chemical Company (United States) · USNational University of Singapore · SGRadboud University Nijmegen · NLThe University of Adelaide · AUUniversity of Brescia · ITUniversity of South Australia · AUWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite advances in personalizing the efficacy of cancer therapy, our ability to identify patients at risk of severe treatment side effects and provide individualized supportive care is limited. This is particularly the case for mucositis (oral and gastrointestinal), with no comprehensive risk evaluation strategies to identify high-risk patients. We, the Multinational Association for Supportive Care in Cancer/International Society for Oral Oncology (MASCC/ISOO) Mucositis Study Group, therefore aimed to systematically review current evidence on that factors that influence mucositis risk to provide a foundation upon which future risk prediction studies can be based.

methodsWe identified 11,018 papers from PubMed and Web of Science, with 197 records extracted for full review and 113 meeting final eligibility criteria. Data were then synthesized into tables to highlight the level of evidence for each risk predictor.

resultsThe strongest level of evidence supported dosimetric parameters as key predictors of mucositis risk. Genetic variants in drug-metabolizing pathways, immune signaling, and cell injury/repair mechanisms were also identified to impact mucositis risk. Factors relating to the individual were variably linked to mucositis outcomes, although female sex and smoking status showed some association with mucositis risk.

conclusionMucositis risk reflects the complex interplay between the host, tumor microenvironment, and treatment specifications, yet the large majority of studies rely on hypothesis-driven, single-candidate approaches. For significant advances in the provision of personalized supportive care, coordinated research efforts with robust multiplexed approaches are strongly advised.

Indexed as

HumansMucositisNeoplasmsRiskStomatitisTumor MicroenvironmentDiarrheaMucositisPersonalized carePrecision medicineRisk predictionSupportive oncology

Identifiers

PMID32592033
OpenAlexW3037791477

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.