Evidence map›Paper›PMID 31243097›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2019

Sensors for detecting pulmonary diseases from exhaled breath.

Dina Hashoul, Hossam Haick

Abstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Nonlinear dynamics of in-plane ring resonator for mass sensing.Microsystem technologies : sensors, actuators, systems integration · 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

2 authors.

Dina HashoulDept of Chemical Engineering, Russell Berrie Nanotechnology Institute, and the Technion Integrated Cancer Center, Haifa, Israel hhossam@technion.ac.il.
Hossam HaickDept of Chemical Engineering, Russell Berrie Nanotechnology Institute, and the Technion Integrated Cancer Center, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review presents and discusses a new frontier for fast, risk-free and potentially inexpensive diagnostics of respiratory diseases by detecting volatile organic compounds (VOCs) present in exhaled breath. One part of the review is a didactic presentation of the overlaying concept and the chemistry of exhaled breath. The other part discusses diverse sensors that have been developed and used for the detection of respiratory diseases (

Indexed as

ExhalationTransducersBiomarkersBreath TestsEquipment DesignHumansLungLung DiseasesPredictive Value of TestsReproducibility of ResultsVolatile Organic CompoundsBiomarkersVolatile Organic Compounds

Identifiers

PMID31243097
PMCPMC9489036

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.