Evidence map›Paper›PMID 22345057›Full record

ReviewInteractive cardiovascular and thoracic surgery2012

Sniffer dogs as part of a bimodal bionic research approach to develop a lung cancer screening.

Enole Boedeker, Godehard Friedel, Thorsten Walles

3 registry-linked trialsOpen access · bronzeAbstract readReview
In one paragraph

Review in Interactive cardiovascular and thoracic surgery, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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.

NCT01141842 phase1completednot on this map

Prospective Clinical Study to Determine the Predictive Value of Sniffer Dogs to Identify Lung Cancer in the Exhalation of Patients With and Without Pulmonary Disease

TypeinterventionalSponsorSchillerhoehe HospitalRan2009 to 2010Enrolled230ConditionsLung Cancer, Chronic Obstructive Airway DiseaseArmsexhalation analysis of breath sample
NCT01383408 phase2terminatednot on this map

Distinction Between Lung Cancer and Gynecological Cancers by Exhalation Analysis and Canine Scent Detection

TypeinterventionalSponsorSchillerhoehe HospitalRan2011 to 2013Enrolled752ConditionsLung Cancer, Breast Cancer, Ovarian CancerArmsexhalation analysis of breath sample
NCT04755829 unknown statusnot on this mapstarted 2021, after this paper: background citation

Breath Test to Predict Breast Cancer and Outcome of Mammography

TypeobservationalSponsorMenssana Research, Inc.Ran2021 to 2023Enrolled1,000ConditionsBreast Cancer, Abnormal Mammogram, UnspecifiedArmsBreathX test for breath VOCs
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Enole BoedekerDepartment of General Thoracic Surgery, Schillerhoehe Hospital, Gerlingen, Germany.
Godehard Friedel
Thorsten Walles
Klinik Schillerhöhe · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer (LC) continues to represent a heavy burden for health care systems worldwide. Epidemiological studies predict that its role will increase in the near future. While patient prognosis is strongly associated with tumour stage and early detection of disease, no screening test exists so far. It has been suggested that electronic sensor devices, commonly referred to as 'electronic noses', may be applicable to identify cancer-specific volatile organic compounds in the breath of patients and therefore may represent promising screening technologies. However, three decades of research did not bring forward a clinically applicable device. Here, we propose a new research approach by involving specially trained sniffer dogs into research strategies by making use of their ability to identify LC in the breath sample of patients.

Indexed as

Behavior, AnimalBionicsBreath TestsOdorantsSmellAnimalsBiomarkers, TumorBiosensing TechniquesDogsEarly Detection of CancerExhalationHumansLung NeoplasmsPredictive Value of TestsVolatile Organic CompoundsVolatilizationBiomarkers, TumorVolatile Organic Compounds

Identifiers

PMID22345057
PMCPMC3329290
OpenAlexW2131523779

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.