Evidence map›Paper›PMID 32901136›Full record

ArticleBritish journal of cancer2020

Development of a non-invasive exhaled breath test for the diagnosis of head and neck cancer.

Nuwan Dharmawardana, Thomas Goddard, Charmaine Woods, David I Watson, Eng H Ooi, Roger Yazbeck

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in British journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Breath Testing in the Surgical Setting: Applications, Challenges, and Future Perspectives.European surgical research. Europaische chirurgische Forschung. Recherches chirurgicales europeennes · 2023
    Review
  10. Review
  11. Article
  12. Exogenous detection ofFrontiers in physiology · 2022
    Article
  13. The Prognostic Value and Mechanisms of TMEM16A in Human Cancer.Frontiers in molecular biosciences · 2021
    Review
  14. Narrative review on artificially intelligent olfaction in halitosis.Journal of oral and maxillofacial pathology : JOMFP
    Review
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 at 2 institutions in 1 country.

Nuwan DharmawardanaDepartment of Otorhinolaryngology-Head and Neck Surgery, Flinders Medical Centre, Bedford Park, Australia. nuwansd@gmail.com.ORCID http://orcid.org/0000-0002-4535-9282
Thomas GoddardDepartment of Respiratory and Sleep Medicine, Women's and Children's Hospital, North Adelaide, Australia.
Charmaine WoodsDepartment of Otorhinolaryngology-Head and Neck Surgery, Flinders Medical Centre, Bedford Park, Australia.
David I WatsonDiscipline of Surgery, College of Medicine and Public Health, Flinders University, Bedford Park, Australia.
Eng H OoiDepartment of Otorhinolaryngology-Head and Neck Surgery, Flinders Medical Centre, Bedford Park, Australia.
Roger YazbeckDiscipline of Surgery, College of Medicine and Public Health, Flinders University, Bedford Park, Australia.
Flinders University · AUWomen's and Children's Hospital · AU

Funding

Garnett Passe and Rodney Williams Memorial Foundation (Garnett Passe & Rodney Williams Memorial Foundation) ASSRS
6 · The paper itself

Abstract

backgroundImproving the ability to identify early-stage head and neck squamous cell carcinoma (HNSCC) can improve treatment outcomes and patient morbidity. We sought to determine the diagnostic accuracy of breath analysis as a non-invasive test for detecting HNSCC.

methodsStandardised breath samples were collected from 181 patients suspected of HNSCC prior to any treatment. A selected ion flow-tube mass spectrometer was used to analyse breath for volatile organic compounds. Diagnosis was confirmed by histopathology. A binomial logistic regression model was used to differentiate breath profiles between cancer and control (benign disease) patients based on mass spectrometry derived variables.

resultsIn all, 66% of participants had early-stage primary tumours (T1 and T2) and 58% had regional node metastasis. The optimised logistic regression model using three variables had a sensitivity and specificity of 80% and 86%, respectively, with an AUC for ROC curve of 0.821 (95%CI 0.625-1.0) in the testing cohort.

conclusionsBreath analysis for non-invasive diagnosis of HNSCC appears to be practical and accurate. Future studies should be conducted in a primary care setting to determine the applicability of breath analysis for early identification of HNSCC.

Indexed as

AdultAgedAged, 80 and overArea Under CurveBreath TestsEarly Detection of CancerExhalationFemaleHead and Neck NeoplasmsHumansLogistic ModelsLymphatic MetastasisMaleMass SpectrometryMiddle AgedNeoplasm StagingVolatile Organic Compounds

Identifiers

PMID32901136
PMCPMC7722848
OpenAlexW3084334054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.